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Category: Data & Statistics

  • UK Student Wellbeing and Dissertation Stress: The 2026 Statistics

    UK Student Wellbeing and Dissertation Stress: The 2026 Statistics

    15% of full-time UK undergraduates report the highest levels of life satisfaction, against 27% of the general UK population — and while student wellbeing has recovered to roughly where it stood a decade ago, it remains well below the population it is drawn from (Student Academic Experience Survey 2026, HEPI and Advance HE, published June 2026, 10,065 respondents).

    Two things need saying before the numbers. There is no national dataset that isolates dissertation stress specifically — nobody surveys final-year students about their dissertation and reports it as a sector statistic. What exists is a large, well-established annual survey of undergraduate wellbeing and workload, and it is the right evidence to use provided you describe it accurately. Every figure below is from that survey unless attributed otherwise.

    The wellbeing figures, with the population comparator

    The survey has used the four Office for National Statistics personal wellbeing questions since 2014, each scored 0 to 10. The figures show the proportion giving the most positive answers: 9 or 10 out of 10 for satisfaction, worthwhile and happiness, and 0 or 1 out of 10 for anxiety, where a low score is the positive result.

    Year Life satisfaction 9-10 Life worthwhile 9-10 Happiness 9-10 Low anxiety 0-1
    2026 students 15% 20% 20% 15%
    2025 students 15% 18% 17% 14%
    2025 general population (ONS) 27% 34% 36% 35%
    2024 students 13% 18% 18% 15%
    2023 students 13% 17% 17% 16%
    2022 students 12% 16% 16% 14%
    2021 students (pandemic low) 6% 12% 11% 13%
    2020 students 11% 15% 14% 18%

    Source for all student rows: Student Academic Experience Survey 2026 (HEPI/Advance HE). Population row: ONS quarterly personal wellbeing estimates, as cited in that report.

    The shape is a steep pandemic trough in 2021, then five years of gradual recovery that gained pace in 2026, with worthwhile and happiness both up and satisfaction flat. And a persistent gap: on every measure, undergraduates report worse wellbeing than the general population, most starkly on anxiety, where 15% of students report the lowest anxiety scores against 35% of the population.

    The caveat the report makes itself

    This is the detail to include if you quote the comparison. The survey’s authors note that although both studies use the same question wording, readers “should be slightly wary of directly comparing different studies among different populations”. Two separate surveys with different samples, methods and fieldwork periods are not a controlled comparison, and the student population differs from the general population in age alone in ways that affect these measures.

    Quote the gap, attribute both sources, and carry the caveat. A marker will notice whether you did.

    What the survey actually is

    The Student Academic Experience Survey is run annually by the Higher Education Policy Institute with Advance HE. The 2026 edition, by Jonathan Neves, Rose Stephenson and Charlotte Armstrong, analysed 10,065 responses from full-time undergraduates at UK institutions, with online fieldwork conducted independently by Savanta between 6 January and 7 April 2026.

    Population scope matters when you cite it: these are full-time undergraduates. The figures do not describe part-time students, and they do not describe postgraduates. Applying them to the whole student body misstates what was measured.

    A dissertation workload spread across weeks on a wall planner
    The dissertation lands on top of a workload that, for working students, already exceeds a full-time job.

    The workload figures — the most dissertation-relevant data there is

    If you want evidence for why final-year students are under pressure, this is stronger than any wellbeing percentage, because it measures hours rather than feelings.

    • 65% of full-time undergraduates are in paid employment during term time — described in the report as “still extremely high”, and now the majority experience rather than the exception.
    • Students who work carry an average combined study and employment workload of 44.2 hours a week — almost identical to 2025’s 44.3 hours, and down from 50.1 hours in 2024.
    • The average full-time job in the UK is 36.6 hours (ONS, as cited in the report). Working students are therefore carrying around eight hours a week more than a full-time worker.
    • Counter-intuitively, students in paid employment also spend more time on average in independent study than those who do not work. The report is careful to say it is unclear whether this reflects a positive choice, a feeling of necessity, or both.

    A dissertation is added on top of that, and it is the single largest independent-study commitment most undergraduates ever take on — typically several thousand words with no weekly deadline structure, in a term where two thirds of students are also working. The word budget itself varies sharply by department, as our survey of undergraduate dissertation word counts found.

    How many students think about leaving?

    22% of full-time undergraduates said they had considered leaving their course in 2026 — the lowest figure in recent years. 76% had not thought about making a change, and 2% were unsure or unable to say.

    Read that alongside the wellbeing recovery rather than against it. The 2026 survey is, on most measures, a more positive picture than any in the past decade: perceptions of value for money reached 45%, up from 37% in 2025 and the highest in more than ten years. Student experience improving and student wellbeing remaining below the general population are both true at once, and a good statistics chapter says so.

    What the data does not tell you

    Four limitations worth stating explicitly if you cite any of this.

    No dissertation-specific measure exists. Nothing in this survey isolates the dissertation from the rest of final year, so you cannot say “X% of students find their dissertation stressful” from it. Anyone who quotes such a figure should be asked for the instrument that produced it.

    These are self-reports of general wellbeing, not clinical measures. The ONS four are subjective wellbeing questions, not diagnostic instruments, and they do not measure the prevalence of mental health conditions.

    The wellbeing figures report only the extremes. They show the proportion giving the top two scores out of eleven, which is a deliberately demanding threshold; they are not a “percentage of happy students”.

    Cross-survey comparisons are fragile. Different populations, different fieldwork windows, different modes. Keep each source’s figures inside their own sentence.

    A university student support service room, free at every UK institution
    Every UK university runs one of these, they are free, and using them does not go on your academic record.

    If you are reading this because of your own dissertation

    The statistics say your experience is common. They do not say you should absorb it alone, and three routes exist that students consistently underuse.

    Your university’s student support or wellbeing service is free, confidential, staffed by people who deal with exactly this every summer, and separate from your academic department. Your GP is the route for anything that has gone beyond ordinary deadline pressure. And extenuating circumstances procedures exist precisely for illness, bereavement and crisis — every UK institution has one, it is a formal process with evidence requirements and deadlines, and students routinely discover it too late to use. Read yours now rather than in the week you need it.

    Tell your supervisor if you are struggling. Supervisors have seen it before, they cannot help with a problem they do not know about, and a student who says “I am three weeks behind” in June is in a far better position than one who says nothing until August.

    How to cite these figures

    Attribute to Neves, Stephenson and Armstrong, Student Academic Experience Survey 2026, Higher Education Policy Institute and Advance HE, published June 2026, with fieldwork by Savanta between 6 January and 7 April 2026 among 10,065 full-time UK undergraduates. Name the population in the sentence. Attribute the general-population comparators to the ONS and carry the report’s own warning about comparing different studies.

    For adjacent figures, degree outcomes are covered in our roundup of degree classification statistics and AI use in our student AI use survey data — both drawn from different surveys with different populations, so keep them in separate sentences.

    Where the pressure is specifically that the writing will not start, that is a mechanical problem with a mechanical fix rather than a character flaw. Tesify structures your dissertation chapter by chapter so the work becomes a task list instead of a fog, with every word still written by you — and our comparison of AI tools for dissertation writing covers what else is worth using. If you are being tempted by services that promise to write it for you, read our guide to what is legitimate and what is criminal first.

    Frequently asked questions

    What percentage of UK students find their dissertation stressful?

    No published UK dataset measures this. Surveys measure general undergraduate wellbeing rather than dissertation-specific stress, so any percentage you see quoted for the dissertation itself should be traced to its instrument before you cite it.

    How does student wellbeing compare with the general population?

    It is lower on every measure. In the most recent comparison, 15% of students reported the highest life satisfaction against 27% of the general population, and 15% reported the lowest anxiety against 35%. The survey’s authors caution against treating this as a direct comparison because the studies and populations differ.

    Is student wellbeing getting better or worse?

    Better. Wellbeing bottomed out in 2021 and has recovered steadily since, with clear improvement in 2026 on the worthwhile and happiness measures, returning to around the levels last seen a decade ago.

    How many hours a week do UK students actually work?

    Among students in paid employment, the average combined study and employment workload was 44.2 hours a week in 2026, against an ONS-measured UK full-time job average of 36.6 hours. 65% of full-time undergraduates are in paid employment during term time.

    How many students consider dropping out?

    22% of full-time undergraduates said they had considered leaving their course in 2026, the lowest figure in recent years, with 76% saying they had not.

    What is the Student Academic Experience Survey?

    An annual survey of full-time UK undergraduates run by HEPI with Advance HE, in its twentieth year. The 2026 edition analysed 10,065 responses, with fieldwork by Savanta between January and April 2026.

    Do these figures cover postgraduate students?

    No. The sample is full-time undergraduates. Quoting these figures for postgraduates, or for the student body as a whole, misstates the population that was surveyed.

    Can I use dissertation stress as an extenuating circumstance?

    Ordinary deadline pressure is not usually grounds, because it affects everyone; illness, including mental illness, bereavement and personal crisis generally are. Every institution’s policy differs, most require evidence and have a deadline, and you should read yours before you need it.

    Where do I get help if I am struggling right now?

    Your university’s student support or wellbeing service, which is free and confidential; your GP for anything beyond ordinary stress; and your students’ union, which usually offers independent academic advice. Tell your supervisor too — they cannot help with something they have not been told.

    Is it normal to feel this way about a dissertation?

    The published data on workload and wellbeing suggests substantial pressure is the common experience rather than the exception. That is a reason to use the support that exists, not a reason to accept feeling terrible for six months.

  • UK University Academic Misconduct Statistics 2026: What the Data Actually Shows

    UK University Academic Misconduct Statistics 2026: What the Data Actually Shows

    No UK body publishes national academic misconduct statistics. Not HESA, not the Office for Students, not the QAA — nobody counts cases across the sector. The most substantial recent evidence is a BBC Freedom of Information request to every UK university, published on 17 December 2025, which produced usable responses from 53 institutions.

    That absence is the first finding, and it matters more than any single number, because it means every “X thousand students caught cheating” headline you have read was built from a partial FOI exercise with a self-selected response rate. Below is what genuinely exists, attributed and dated, followed by the reasons the figures cannot be added together.

    The key figures

    Measure Value Source and year
    UK institutions publishing national misconduct case counts None No sector body collects the field (2026)
    Universities giving usable responses to a UK-wide FOI on essay-cheating investigations, year ending summer 2024 53 BBC News, 17 Dec 2025
    Of those, institutions reporting international students disproportionately represented in misconduct investigations 48 of 53 BBC News, 17 Dec 2025
    University of Lincoln: share of its 387 investigations involving non-UK students 78% BBC News, 17 Dec 2025
    — against a non-UK share of its student population of 22% BBC News, 17 Dec 2025
    Prosecutions under the essay-mill offence since April 2022 None — no recorded offence has reached a first hearing in a magistrates’ court Crown Prosecution Service and Department for Education, to BBC News, Dec 2025
    Institutions signed up to the QAA Academic Integrity Charter More than 200 QAA, charter launched 21 Oct 2020
    Institutions represented by Universities UK 141 Universities UK, via BBC News, Dec 2025
    Papers reviewed since 2023 in which Turnitin’s detector found AI wrote at least 20% of the material More than 1 in 10 Turnitin (vendor figure), via BBC News, Dec 2025
    Non-UK students enrolled at UK universities, 2023-24 730,000 — 25% of all students Reported by BBC News, Dec 2025

    Why is there no national dataset?

    Because academic misconduct is handled entirely inside each autonomous institution. A case is raised by a marker, investigated under that university’s own regulations, and resolved by its own panel. No return goes to a regulator, and no agency has ever been given the job of collecting one. The nearest thing to a sector-wide instrument is the QAA’s Academic Integrity Charter, launched on 21 October 2020, which more than 200 institutions have signed — but a charter is a set of commitments, not a statistical return.

    The consequence for anyone citing figures: national totals do not exist, and any that circulate have been assembled by journalists from FOI responses. That is legitimate evidence and it should be described as what it is.

    Institutional records held separately by each university rather than centrally
    Every case file sits inside one institution. There is no drawer marked “UK total”, which is why national misconduct statistics do not exist.

    Why can’t the institutional figures be compared?

    Three reasons, and they are the substance of any serious discussion of this data.

    Definitions differ. Universities categorise misconduct differently, and the same behaviour can be logged as poor academic practice at one institution and as misconduct at another. One university told the BBC that many of its cases concerned poor practice such as bad referencing rather than intentional cheating. A count that mixes a mis-formatted bibliography with a purchased dissertation is not measuring one thing.

    Detection effort differs. A high case count can mean an institution has a rigorous detection and reporting culture rather than more dishonest students. A low one can mean staff are not referring cases — the BBC’s investigation quotes a former lecturer saying colleagues “turned a blind eye”. Counts of detected cases measure detection at least as much as behaviour.

    The denominators differ. Comparing raw case numbers across institutions of wildly different size and subject mix tells you almost nothing without expressing them as a rate.

    How should the international-student finding be read?

    Carefully, because it is the figure most likely to be misused. Of the 53 institutions that responded usably, 48 reported that international students were disproportionately represented in misconduct investigations, and the University of Lincoln reported that 78% of its 387 investigations involved non-UK students who make up 22% of its student population.

    What that measures is who gets investigated, not who cheats. At least three explanations are consistent with the same numbers: differences in prior training in UK referencing conventions, which produces poor-practice cases rather than deliberate ones; the possibility that work written in a second language attracts more scrutiny; and genuine differences in behaviour. The data cannot distinguish between them, Universities UK declined to comment on the reasons, and one university offered the poor-practice explanation directly.

    If you cite this in a dissertation, cite it as a disparity in investigation rates with the explanations unresolved. Presenting it as a finding about who cheats is a claim the evidence does not support, and it is precisely the kind of overreach a marker will circle.

    What happened to the essay-mill law?

    Providing, arranging or advertising cheating services for financial gain to students in post-16 education in England became a criminal offence in 2022. As of December 2025, both the Crown Prosecution Service and the Department for Education told the BBC they had no recorded offences reaching a first hearing in a magistrates’ court under the Skills and Post-16 Education Act — no prosecutions at all.

    Meanwhile the BBC found dozens of companies still advertising essay-writing services to UK students, and interviewed an operator, based outside the UK, who said prices started at £200 and that larger doctorate or master’s orders could reach £20,000, while denying he broke English law on the grounds that his essays were “model answers”. The gap between a law on the books and an enforcement record of zero is itself the citable finding here. What the law actually says, and why the student side of the transaction is governed by university regulations rather than the courts, is set out in our guide to legitimate and criminal dissertation help.

    A university's own academic regulations, the only authoritative source for its procedures
    With no national framework of penalties, your own institution’s regulations are the only document that describes what actually happens to you.

    What about AI detection figures?

    Turnitin’s chief product officer told the BBC that in more than one in ten papers reviewed since 2023, its detection tool found AI had written at least 20% of the material. Treat this as what it is: a vendor’s figure about its own product, generated by a detector whose accuracy is contested, reported without independent verification. It is quotable if you attribute it in exactly those terms and do not present it as a measurement of student behaviour.

    Self-reported behaviour is measured elsewhere and by an independent survey, and the two should not be blended — the figures on how many UK students actually use AI are in our roundup of UK student AI use survey data, and what similarity and detection software can and cannot establish is unpacked in our plagiarism checker comparison.

    What penalties do universities actually impose?

    There is no national tariff. Reported penalties range from a warning, through a mark of zero for the assessment, to suspension or exclusion from the institution. Universities UK states that all universities have codes of conduct including severe penalties for students submitting work that is not their own.

    The practical consequence is that no website can tell you what will happen in your case, because the answer lives in your own institution’s academic regulations. In regulated professional routes — nursing, medicine, law, teaching — a finding can additionally reach a fitness-to-practise process, which is a separate and more serious track.

    How to cite these figures

    Attribute the FOI findings to BBC News, naming the reporter and the publication date of 17 December 2025, and state the response base — 53 institutions providing usable responses to a request sent to every UK university, covering the academic year ending summer 2024. Attribute the prosecution figure to the Crown Prosecution Service and the Department for Education as reported in that investigation. Attribute the charter figure to the QAA with its launch date. Attribute the Turnitin figure to Turnitin.

    Then state the limitation once, plainly: these are not national statistics, the response base is partial, and definitions are not standardised across institutions. A sentence acknowledging that is worth more in a dissertation than a bigger number would be — the same discipline that applies to reading any published statistic, as we set out alongside the sector’s degree classification statistics.

    If you are here because you are worried about your own work rather than writing about the sector, the useful response is procedural rather than statistical: know your institution’s rules, keep your drafts and reading notes, and use tools that leave the authorship unambiguously yours. Tesify structures and drafts your dissertation with you — every word written by you, which is the only position that is safe in any regulatory climate.

    Frequently asked questions

    How many UK students are caught cheating each year?

    Nobody knows, because no UK body collects the figure. The most substantial recent evidence is a BBC FOI request to every UK university that produced usable responses from 53 institutions for the year ending summer 2024. Any national total you see has been estimated from partial data.

    Does HESA publish academic misconduct data?

    No. HESA collects student, staff and qualification data; academic misconduct is not among the fields it gathers. The same is true of the Office for Students and the QAA.

    Has anyone been prosecuted for running an essay mill?

    No. As of December 2025 the Crown Prosecution Service and the Department for Education both told the BBC there were no recorded offences reaching a first hearing in a magistrates’ court under the Skills and Post-16 Education Act, despite the offence having been in force since 2022.

    Are international students more likely to cheat?

    The data does not show that. It shows that 48 of 53 responding institutions reported international students being disproportionately represented in misconduct investigations, which measures who is investigated. Differences in prior referencing training, greater scrutiny of second-language writing, and genuine behavioural differences are all consistent with the same figures.

    What is the QAA Academic Integrity Charter?

    A set of sector commitments on protecting academic integrity, launched on 21 October 2020, which more than 200 UK institutions have signed. It is a statement of principles rather than a data collection or a regulatory requirement.

    What percentage of student work contains AI-generated text?

    Turnitin says its detector found AI wrote at least 20% of the material in more than one in ten papers reviewed since 2023. That is a vendor figure from a contested detection technology and should be attributed as such rather than quoted as a measurement of student behaviour.

    What punishment do UK universities give for plagiarism?

    There is no national tariff. Reported outcomes range from a warning or a mark of zero through to suspension and exclusion, and in professional programmes a case can also reach fitness to practise. Your own institution’s academic regulations are the only authoritative source for your situation.

    Why do misconduct numbers vary so much between universities?

    Because definitions, detection effort and student numbers all differ. A high count can indicate thorough detection rather than more cheating, and a low one can indicate under-reporting. Raw counts are not comparable without rates and shared definitions, neither of which exists.

    Can I use these figures in my dissertation?

    Yes, with full attribution and a stated limitation. Name the source, the date, the response base and the fact that these are FOI-derived rather than official statistics. Handled that way, the absence of a national dataset becomes a point you can make rather than a gap you have to hide.

    Where would national data come from if it existed?

    It would require a sector body to define misconduct categories consistently and mandate an annual return from every provider. No such requirement exists in any of the four UK nations, which is why the position has not changed despite repeated calls for better sector-level evidence.

  • What Happens If You Fail Your Dissertation? UK Rules and What the Data Shows (2026)

    What Happens If You Fail Your Dissertation? UK Rules and What the Data Shows (2026)

    No UK body publishes a dissertation failure rate. The national datasets measure whole degrees, not individual assessments — the Office for Students sets a minimum completion threshold of 75 per cent for full-time first-degree students, and nothing below that level of granularity is collected. What actually determines your outcome is your own university’s regulations on compensation, reassessment and mark capping, and those regulations differ substantially between institutions.

    This page sets out the national picture honestly, then the mechanics from three named UK universities’ published rules, so you can find your own equivalent quickly.

    What the national data does and does not contain

    The Office for Students publishes sector-level measures of continuation, completion, progression and degree attainment for higher education in England. Under condition B3 it sets published numerical thresholds — minimum expectations for the percentage of students achieving positive outcomes on each indicator.

    Indicator OfS numerical threshold, full-time first degree
    Continuation 80%
    Completion 75%
    Progression 60%

    Source: Office for Students, numerical thresholds for condition B3, published 6 July 2023.

    Two caveats belong with those figures. The OfS itself states that “performance below a numerical threshold does not mean that a provider is not meeting our minimum expectations”, because context is part of its judgement. And these are thresholds for providers, not probabilities for you: they describe the level below which the regulator starts asking questions of an institution.

    More importantly for the question on this page, none of it is about dissertations. Completion measures whether a student finishes a qualification. It does not record which assessment they struggled with, and no UK body collects assessment-level outcomes across institutions. Any figure presented online as “the UK dissertation failure rate” is therefore an invention or a single department’s internal number generalised without warrant. If you need a citable statistic, cite the OfS completion measure for what it is — a degree-level indicator — and say so.

    The mechanics: three named universities, three different regimes

    What happens after a failing mark is decided entirely by your institution’s assessment regulations. Three published examples show the range.

    University of York — compensation first, then one capped reassessment

    York’s guide for bachelors undergraduate programmes sets the pass mark at 40 for undergraduate-level modules and offers two routes to the credit if you do not reach it.

    Compensation. A mark in the 30–39 band is a “marginal fail/compensated pass” where you are eligible: “if your mark for a module is in the 30-39 range, you may still be able to get the credits for the module if your performance in other modules is good enough to compensate”. The limits are firm — you “cannot have failed more than 40 credits and there can be no ‘outright’ fails (so, no marks below 30)”.

    Reassessment. A mark below 30 “cannot be compensated and you will have to be reassessed”, and reassessment is offered “as long as the number of failed credits in the Stage does not exceed 80 for Stage 1 or 60 for Stages 2 or 3”. Crucially, “reassessment marks (resit marks) are used for students’ degree classifications, capped at the pass mark for the module”.

    The hard stop. “You can only be reassessed in a module once… If you fail a module and its reassessment, you will not be able to progress and will fail the programme.” A lower award may still be available. And two exceptions are worth marking: “though most modules are able to be reassessed, some may not be”, and “in some programmes (for example, where professional requirements have to be met) compensation and reassessment may not be an option”.

    Oxford Brookes University — one resit, then one retake

    Brookes gives one resit opportunity per failed assessment, and states the cap plainly: “the mark that you achieve for a resit will be capped at the pass mark — this means 40% for modules up to level 6”, with the cap lifted only where exceptional circumstances are approved. Fail the resit and there is “only one opportunity to retake the module” — a retake meaning enrolling in the module again as a new instance, which carries a first attempt and a resit of its own. And a line worth knowing before you ask: “once you pass an assessment, you cannot resit it; and once you pass a module, you cannot retake it.”

    UWE Bristol — free resit, expensive retake

    UWE distinguishes the two on cost as well as process. A resit is an attempt at the failed assessment tasks only, normally automatic, and “the University does not charge students to take a resit”. A retake “is when you study a whole module for a second time”, with all assessments redone and full tuition fees charged. Its pass marks are 40 per cent at undergraduate level and 50 at postgraduate, and no marks carry over between attempts.

    University assessment regulations open at the section on reassessment and compensation
    Three universities, three regimes. The only document that governs you is your own institution’s, and it is published.

    The four things that decide your outcome

    Read across those regulations and the same four variables appear, in the same order.

    1. How far below the pass mark you are. The gap between a marginal fail and an outright fail is a real regulatory boundary, not a matter of degree. At York, 30 is the line: above it compensation may be possible, below it reassessment is compulsory.
    2. Whether the module can be compensated at all. Many programmes designate the final-year project or dissertation as a module that must be passed in its own right, and professional programmes commonly remove both compensation and reassessment. This is the single most important thing to check, and it is in your programme regulations rather than the general university ones.
    3. Whether the resit mark is capped. It usually is, at the pass mark, and the capped mark — not your actual resit performance — is what feeds your classification. On a dissertation carrying a large share of final-year credit, that cap has a visible effect on the degree you finish with, which is why the classification algorithm matters as much as the mark.
    4. How many attempts remain. Typically one reassessment, sometimes followed by one retake at full fees. Nobody gets an indefinite series.

    What “failing the programme” actually means

    It rarely means leaving with nothing. Where a student fails a module and its reassessment, York’s guidance notes they “may, however, be eligible to receive a lower award” — typically an ordinary degree without honours, or an exit qualification such as a Diploma of Higher Education, depending on the credit already achieved. It is not the outcome anyone wants, and it is a materially different thing from having no qualification at all.

    Two other outcomes exist and are worth naming. A dissertation can be failed on academic misconduct grounds rather than on quality, which follows a different procedure entirely and is covered in our guide to legitimate and criminal dissertation help. And a project can be stopped before it produces anything markable — most often because data collection began without approval, which is why ethics approval is a gate rather than a formality.

    A student meeting a personal tutor to plan a resubmission after failing a module
    The resubmission window is short and the rules are specific. The first conversation is with your department, not with a forum.

    What to do in the first week after a failing mark

    1. Find your programme regulations, not the general ones. You are looking for three things: whether the dissertation module can be compensated, whether it can be reassessed, and what the cap is.
    2. Get the feedback in writing and read it as a specification. A resubmission is marked against the same criteria; the marker has told you which ones you missed.
    3. Ask about the deadline immediately. Resubmission windows are set by the examination board and are usually measured in weeks or a small number of months, not open-ended.
    4. Establish whether extenuating circumstances apply. Where they do and are accepted, the cap may be lifted — Brookes removes it where exceptional circumstances are approved. Late claims are much harder to run than timely ones.
    5. Ask what “resubmission” means in practice for your module. Revising the existing dissertation is a different job from collecting new data, and departments differ on which they will accept.

    The failures that are avoidable, and when

    Most dissertations that fail on quality rather than conduct do so for reasons that were visible months earlier. A question too broad to answer with the data available. A methodology that describes rather than justifies. A discussion that restates findings instead of interpreting them against the literature — the single most common reason a competent project lands in the third-class band. And a reference list too thin to demonstrate engagement, which is graded as range rather than count, as we set out in our answer to how many references a dissertation should have.

    Every one of those is a design problem, and the cheapest place to fix a design problem is the proposal — which is why our guide to writing a dissertation proposal spends most of its length on narrowing the question rather than on formatting the document. The second cheapest place is the first supervision meeting after your first chapter draft.

    If the risk you are managing is not the design but the writing — chapters that will not start, a bibliography that never matches the handbook, a deadline arriving faster than the draft — Tesify structures and drafts your dissertation with you, keeps the references formatted as you cite, and checks your drafts before your university does. It is free to start and everything stays 100% written by you.

    Frequently asked questions

    What is the dissertation failure rate at UK universities?

    No UK body publishes one. National datasets measure continuation, completion and progression at qualification level, not outcomes for individual assessments, so any quoted dissertation failure rate is unsourced. The nearest published figure is the OfS completion threshold of 75 per cent for full-time first-degree students, which is about whole degrees.

    Can you resit a dissertation?

    Usually once, subject to your regulations. York states that “you can only be reassessed in a module once”, and Oxford Brookes gives one resit followed by at most one retake of the module. Some modules and some professional programmes allow neither.

    Is a dissertation resit mark capped?

    Almost always at the pass mark. Brookes caps a resit “at the pass mark — this means 40% for modules up to level 6”, and York confirms that capped resit marks are the ones used in degree classification. Approved exceptional circumstances can remove the cap.

    What is compensation, and can it cover a failed dissertation?

    Compensation awards you the credit for a marginally failed module on the strength of your other results — at York, for marks in the 30–39 range, up to 40 credits, with no marks below 30 anywhere. Whether it can cover a dissertation depends on your programme; final-year project modules are frequently designated as ones that must be passed outright.

    Do I have to pay to resit my dissertation?

    Often not for a resit and usually yes for a retake. UWE Bristol states that it “does not charge students to take a resit”, while a retake means studying the whole module again with full tuition fees. Confirm with your own institution before assuming either.

    Will failing my dissertation stop me graduating?

    Not necessarily. Passing at reassessment normally secures the credit at a capped mark. Where a module and its reassessment are both failed, York notes students “may… be eligible to receive a lower award”, such as an ordinary degree or an exit qualification, rather than leaving with nothing.

    How long do I get to resubmit?

    It is set by your examination board and communicated with the result, typically a defined window rather than an open deadline. Ask the moment you receive the outcome, because the window often starts from the board date rather than from when you read the email.

    Does a capped resit mark affect my degree classification?

    Yes. York is explicit that reassessment marks “are used for students’ degree classifications, capped at the pass mark”, so the capped figure is what enters the calculation. On a heavily weighted final-year project the effect on the overall award mark is real.

    Can extenuating circumstances remove the cap?

    Where they are accepted, often yes — Brookes lifts the cap for approved exceptional circumstances. The claim has to be made through your institution’s process and is far stronger when submitted at the time rather than after the result.

    Is failing a dissertation common?

    Nobody can answer that with data, because no one collects it. What is known is that completion at qualification level sits well above the OfS’s 75 per cent threshold across most of the sector, which is a different measure of a different thing — and the honest answer is that your department, not a national statistic, is the only place a real figure could come from.

    What if I failed because of academic misconduct rather than quality?

    That runs through a separate procedure with different outcomes, which can include a voided submission and penalties beyond the module. It is not a resit question, and the first step is to read your academic integrity regulations and seek advice from your students’ union.

  • Who Marks Your Dissertation, and How Is It Moderated? The Published UK Rules (2026)

    Who Marks Your Dissertation, and How Is It Moderated? The Published UK Rules (2026)

    No UK regulator requires your dissertation to be marked twice, or requires an external examiner to see it at all. The UK Standing Committee for Quality Assessment’s external examining principles state that they “are not mandatory under any of the UK regulatory systems”, and add that the Office for Students “does not impose any particular requirements in relation to external examining arrangements”.

    What governs your mark is your own institution’s marking and moderation policy. Those policies are published, they are readable, and on the questions students most want answered they contradict one another. Below are the rules three named UK universities actually publish, quoted, with the scope of each stated so you can judge whether it resembles your own.

    The published rules, side by side

    Question Institution and scope What the policy says
    Must a dissertation be second-marked? UCL, Academic Manual Chapter 4, taught programmes, 2025-26 “All dissertations / research projects must be subject to Full, Independent, second-marking” (4.5.1)
    Must a dissertation be second-marked? Oxford Brookes, Quality and Standards Handbook, all Schools and delivery locations “Dissertations should always be ‘blind’ second marked”
    Must a dissertation be second-marked? Durham University, Common Awards programmes “Double-marking is to be applied to all dissertations and major projects”
    Must second marking be blind? Durham, Common Awards “Where double marking is used, there is no University requirement that it must be carried out blind or unseen”
    What if my supervisor marks it? UCL, taught programmes Where the supervisor acts as a marker, “the assessment must be subject to full, independent and anonymous second-marking” (4.3.7)
    Moderation sample size UCL, taught programmes “at least 10% of assessments, or at least five assessments”, plus “All Fails”, “Mid-class examples for each class” and “all upper borderlines (39, 49, 59, 69)” (4.5.3.2)
    Moderation sample size Oxford Brookes “10%, whole cohort if it is less than 10”
    Moderation sample size Durham, Common Awards “the approved minimum sample size is 6 pieces of work or 10% of the pieces of work in a run (whichever is greater)”
    Is marking anonymous? UCL, taught programmes “All summative assessments should be carried out anonymously unless the nature of assessment makes this impossible” (4.3.1)
    Can an external examiner change my mark? UKSCQA External Examining Principles, August 2022 Student engagement with examiners must protect “the impartiality of the examiner” while “ensuring individual students’ marks remain unaffected”

    Double marking and moderation are not the same thing

    Durham’s policy opens by making the distinction that most confusion rests on: “Double-marking and moderation are two distinct mechanisms.”

    Double marking means a second marker reads and marks your work. Moderation means a moderator looks at a sample of the cohort’s work to check that the marking as a whole was applied consistently. Durham states the consequence explicitly: moderation “does not involve the moderator agreeing a revised mark for each individual piece of work”.

    The rule that follows from that is the most useful single fact in this article, and almost no student knows it. At Durham, “individual marks awarded by the first marker cannot be changed unless the second marker has marked all the other scripts in a run”. A moderator who reads your dissertation as part of a sample and disagrees with the mark cannot simply adjust yours. Either the whole run is remarked or nothing individual moves — because changing one sampled mark and not the unsampled ones would make the cohort’s marks incomparable.

    So if your dissertation was double-marked, two people formed a view of it. If it was moderated, it may well have been read by nobody but the first marker, and the second pair of eyes was checking the marking standard rather than your work.

    A sample of anonymised dissertations selected for internal moderation
    Moderation reads a sample and checks the standard. It is not a second opinion on your dissertation.

    How the sample is chosen — and why it is not random

    A moderation sample is deliberately stratified. UCL’s minimum requires “All Fails”, “Mid-class examples for each class”, and “all upper borderlines (39, 49, 59, 69)” alongside the 10% floor. Durham adds a safeguard against a self-serving sample: the selection “should not depend entirely on the first marker’s identification of work which seems to them to be problematic”, and should include work from across the range.

    Two practical consequences for you. If your mark is 39, 49, 59 or 69 at UCL, your dissertation is in the sample by rule — borderlines are always looked at, which is a better answer than the folklore that borderline marks are quietly rounded. And if you failed, your work is looked at again by rule at that institution, before any of the machinery in our guide to what happens if you fail your dissertation is engaged.

    What happens when the two markers disagree?

    UCL sets a threshold and then bans the obvious shortcut. Where marks differ by 10% or more, or where they fall either side of a class boundary, “marks must be reconciled through discussion” and “mathematical averaging should not be used” (4.5.4.1). Smaller differences may be resolved “by discussion or by mathematical averaging” (4.5.4.2).

    That is a more consequential rule than it looks. A 58 and a 68 do not become a 63 by arithmetic; two academics have to talk until they agree what the piece is worth against the criteria. Oxford Brookes requires each department to have such a mechanism in place, stating that internal moderation policies “must be clear about the procedure to be followed in order to resolve any disagreement between first and second markers and assign a final mark”.

    Where discussion fails, a third marker may be used. UCL notes that externals do not third-mark to break deadlocks, but that “bringing third-marked work to the attention of the External Examiner is good practice” (4.5.5.2).

    What does the external examiner actually do?

    Less than students imagine, and something more important than remarking. The UKSCQA principles describe external examiners as assuring “the degree-awarding body that the qualifications it awards are comparable to those at other institutions”, which they do “by commenting impartially and informatively on academic standards, student achievement and assessment processes in the institution and their consistency with others”.

    They see samples, not cohorts. Durham requires that “raw marks, as well as reconciled marks, should be made available to external examiners” — so an external can see where two markers disagreed and how it was settled. Oxford Brookes states that where the external’s sample differs from the internal one, examiners “should be provided with additional information about the internal moderation process that has been followed”.

    And the limit is explicit in the principles: arrangements for students to engage with external examiners must ensure that “individual students’ marks remain unaffected”. An external examiner is not an appeal route and cannot lift your mark.

    The sector-level context is worth holding alongside this, because it is genuinely surprising: the principles themselves say they “are not mandatory under any of the UK regulatory systems”, and the footnote records that in England, “for the avoidance of doubt, the OfS does not impose any particular requirements in relation to external examining arrangements”. External examining is a 200-year-old sector convention operated voluntarily by autonomous institutions, not a statutory guarantee.

    An examination board table set with mark sheets before the meeting that ratifies results
    Until the board sits, every mark you have been shown is provisional. That is a statement about process, not about your work.

    Why your mark is provisional until the board meets

    The number your supervisor mentions, and often the number in the virtual learning environment, is a marker’s recommendation. It becomes your mark when a board of examiners ratifies it, in the presence of the external examiner’s report, alongside every other mark on the module.

    This is why a mark can move without anyone having reread your dissertation: a scaling decision applied to a whole run, a reconciliation after moderation showed the cohort was marked harshly, or a regulation about borderline classification. It is also why chasing an individual mark before the board is usually futile, while asking how the moderation and reconciliation process was applied is a legitimate question — and, at most institutions, a procedural ground for an appeal in a way that disagreement with academic judgement is not, as our guide to university procedures and appeal grounds sets out.

    What this means for how you write

    Three of these rules have a direct effect on your drafting, and it is not the effect students expect.

    Write for a reader who does not know you. UCL’s default is anonymity and Brookes requires blind second marking of dissertations, so at least one assessor is reading your work with no memory of your tutorials, your earlier drafts or the conversation in which you explained what you meant. Anything that depends on that context is not on the page.

    Write for a reader working against criteria. Moderation is a check that the criteria were applied consistently, which means the criteria really are the operative document. Marking descriptors reward synthesis over summary rather than counting sources — the evidence for that is in our guide to how many references a dissertation should have.

    Write to the length and the specification. Two markers applying the same criteria to a piece that breaches its word limit or omits a required page are both applying the same penalty. The published variation in limits and inclusion rules is set out in our survey of undergraduate dissertation word counts, and the classification arithmetic that eventually consumes your mark is in our degree classification statistics.

    If the structure is what is stopping the argument reaching a marker who cannot ask you what you meant, you can build the chapters out in Tesify from your own material — 100% written by you, and free to start.

    How to cite these rules

    Cite the institution, the document and its scope, and never generalise from one to the sector. “UCL requires full independent second marking of all dissertations on taught programmes (Academic Manual, Chapter 4, 2025-26)” is defensible; “UK universities double-mark dissertations” is not, because Durham’s Common Awards policy explicitly declines to require blind marking that Oxford Brookes requires. Where you need a sector-level statement, the UKSCQA principles are the right source, and their own non-mandatory status is part of what they say.

    Frequently asked questions

    Is my dissertation double-marked?

    It depends on your institution. UCL requires that “all dissertations / research projects must be subject to Full, Independent, second-marking”, Oxford Brookes says dissertations “should always be ‘blind’ second marked”, and Durham applies double-marking “to all dissertations and major projects” on its Common Awards programmes. No UK-wide rule requires it, so check your own assessment regulations.

    What is the difference between double marking and moderation?

    Durham states that they “are two distinct mechanisms”. Double marking means a second marker marks your work. Moderation means a moderator samples the cohort to check the marking standard, and “does not involve the moderator agreeing a revised mark for each individual piece of work”.

    How big is a moderation sample?

    Commonly a tenth, with a floor. UCL requires “at least 10% of assessments, or at least five assessments” plus all fails and all upper borderlines; Oxford Brookes uses “10%, whole cohort if it is less than 10”; Durham’s Common Awards minimum is “6 pieces of work or 10% of the pieces of work in a run (whichever is greater)”.

    Can a moderator change just my mark?

    Not at Durham, which states that “individual marks awarded by the first marker cannot be changed unless the second marker has marked all the other scripts in a run”. Changing one sampled mark while leaving unsampled ones alone would make the cohort’s marks incomparable.

    Does my supervisor mark my dissertation?

    Often, and where they do a safeguard applies. UCL requires that where the supervisor acts as a marker, the assessment “must be subject to full, independent and anonymous second-marking”.

    Is dissertation marking anonymous?

    Usually by default. UCL states that “all summative assessments should be carried out anonymously unless the nature of assessment makes this impossible”, with coursework marked by candidate number. Supervision inevitably erodes anonymity for the first marker, which is one reason the independent second marker matters.

    What happens if two markers give very different marks?

    At UCL, where marks differ by 10% or more or sit either side of a class boundary, “marks must be reconciled through discussion” and “mathematical averaging should not be used”. Smaller gaps may be averaged.

    Does the external examiner read my dissertation?

    Only if it is in the sample. Externals comment on standards, comparability and assessment processes rather than marking individual students, and the UKSCQA principles require that engagement with them leaves “individual students’ marks remain unaffected”.

    Is external examining legally required?

    No. The UKSCQA principles state that they “are not mandatory under any of the UK regulatory systems”, and note that the Office for Students “does not impose any particular requirements in relation to external examining arrangements”. It is a sector convention that institutions commit to voluntarily.

    Why did my mark change after I was told it?

    Because marks are provisional until an examination board ratifies them. Scaling across a run, reconciliation following moderation, and classification regulations can all move a number without anyone rereading your work.

    Can I ask who marked my dissertation?

    You can ask how it was marked and moderated, and that is the more useful question. Institutions publish their marking and moderation policies, and a request that references the relevant clause — how the sample was selected, whether reconciliation was required — will get a more precise answer than asking for a name.

  • How Many UK Students Use AI for Coursework? The 2026 Survey Data

    How Many UK Students Use AI for Coursework? The 2026 Survey Data

    94 per cent of full-time UK undergraduates say they use generative AI to help with assessed work, and 95 per cent use AI in at least one way, according to the HEPI/Kortext Student Generative AI Survey 2026 (Report 199, published 12 March 2026; fieldwork by Savanta, December 2025; 1,054 respondents).

    Two years ago the same survey series was asking whether students had tried these tools. The 2026 question is no longer whether but how — and the most consequential number in the report is not the 94 per cent but the smaller one underneath it: the share of students putting AI-generated text directly into assessed work has quadrupled since 2024. Every figure below is from the published survey unless attributed otherwise, and each is written so it can be quoted alone.

    The headline figures

    Measure Value Source and year
    Use AI in at least one way 95% HEPI/Kortext Survey 2026
    Use generative AI to help with assessed work 94% HEPI/Kortext 2026
    Include AI-generated text directly in assessed work 12% HEPI/Kortext 2026
    — same measure, 2025 8% HEPI/Kortext 2026 (trend)
    — same measure, 2024 3% HEPI/Kortext 2026 (trend)
    Say assessment has changed significantly in response to AI 65% HEPI/Kortext 2026
    Feel encouraged by their institution to use AI 36% HEPI/Kortext 2026
    Say their institution provides AI tools 38% HEPI/Kortext 2026
    Believe AI has improved their student experience 49% HEPI/Kortext 2026
    Believe AI skills are essential to thrive today 68% HEPI/Kortext 2026
    Use AI for companionship, advice or loneliness ~15% HEPI/Kortext 2026

    What does the survey actually measure?

    The population is full-time UK undergraduates — 1,054 of them, surveyed by Savanta in December 2025 and reported by the Higher Education Policy Institute with Kortext in March 2026. That scope matters when you quote it: the figures describe undergraduates, not postgraduates, and self-reported behaviour, not observed behaviour. Self-report cuts both ways on a topic with a misconduct shadow — some respondents may understate uses they think are banned, others may count a grammar checker as “AI” — so treat the numbers as the best available estimate of a population that has every reason to be coy, not as an audit.

    The number that matters: 3% → 8% → 12%

    “Using AI to help with assessed work” spans everything from asking for an explanation of a concept to summarising an article — most of it uncontroversial and much of it officially encouraged. Including AI-generated text directly in submitted work is a different category, and it is the one moving fastest: 3 per cent in 2024, 8 per cent in 2025, 12 per cent in 2026. Whether any given instance is misconduct depends entirely on the module’s rules — some assessments now explicitly permit disclosed AI drafting — but the trend line explains why 65 per cent of students say assessment itself has changed significantly in response to AI. Universities are redesigning around exactly this behaviour.

    A chat assistant on a phone beside handwritten lecture notes
    Near-universal use, minority institutional provision: the gap between the two is where policy trouble lives.

    The support gap

    Set the adoption figures against the institutional ones and the tension is obvious: 94 per cent of students use generative AI on assessed work, but only 36 per cent feel encouraged by their institution to use it and only 38 per cent say their institution provides AI tools. Fewer than half — 48 per cent — feel teaching staff help them develop the AI skills they will need for their careers. In other words, the behaviour is universal while the guidance, provision and training remain minority experiences. For students the practical consequence is that the rules governing your AI use are local and often new: the module handbook and each assignment brief are where your actual permissions live, and they can differ between two modules on the same course.

    Reading survey data critically — a dissertation skill in itself

    If you plan to cite these figures in your own work, practise on them the scrutiny your markers will practise on you. Check the population before generalising: a finding about full-time undergraduates says nothing direct about part-time or postgraduate students. Check the instrument: “use AI” is whatever the questionnaire defined it to be, and comparisons across different surveys with different wordings are not comparisons. Check the trend’s provenance: the 3–8–12 series is quotable because it comes from the same survey series asking the same question, which is exactly what makes it stronger evidence than two unrelated polls. And note what is not measured — detection, misconduct outcomes, actual marks — so you do not smuggle claims the data cannot carry. That checklist is transferable to every statistic in your literature review.

    How to use AI on a dissertation without gambling your degree

    The survey describes what students do; it says nothing about what your department permits, and that distinction is the whole game. Three habits keep you on the right side of it. Read the assessment brief’s AI statement before touching a tool, and where none exists, ask — in writing. Keep the authorship yours: tools that structure, check and format leave you the author; pasting generated text into an essay that claims to be your own writing is the behaviour the 12 per cent figure tracks, and it is the one that ends up at misconduct panels where rules forbid it. And disclose what your department asks you to disclose — a use you can state openly is a use you have already vetted. The full method is in our guide to writing a literature review with AI, honestly, and the authorship line — why similarity software cannot settle it in either direction — is unpacked in our plagiarism checker comparison.

    Used that way, AI assistance and academic credit point the same direction rather than against each other. Tesify is built for exactly that division of labour — structure, formatting and bibliography handled, every word still written by you.

    Where AI shows up beyond coursework

    Two findings worth quoting because they widen the picture. Around 15 per cent of students report using AI for companionship, advice or to address loneliness — a wellbeing datum hiding in an education survey. And 49 per cent believe AI has improved their student experience overall, against a landscape the report describes as polarised, with students split roughly evenly on several of the big questions. The average student is not an enthusiast or a refusenik; they are a pragmatist using the tools available for the work in front of them, with or without institutional blessing.

    How to cite these figures

    Attribute to the Student Generative AI Survey 2026, Higher Education Policy Institute and Kortext (HEPI Report 199, published 12 March 2026), fieldwork by Savanta in December 2025 with 1,054 full-time UK undergraduate respondents. Name the population when quoting — “of full-time UK undergraduates surveyed” — and use the report’s own trend figures for prior years rather than splicing numbers from different survey series, whose question wordings differ. Degree outcomes data, if you need it alongside, is covered in our degree classification statistics roundup.

    Frequently asked questions

    What percentage of UK students use AI in their studies?

    95 per cent of full-time UK undergraduates report using AI in at least one way, and 94 per cent use generative AI to help with assessed work specifically (HEPI/Kortext, 2026).

    How many students submit AI-written text?

    12 per cent report including AI-generated text directly in assessed work in the 2026 survey — up from 8 per cent in 2025 and 3 per cent in 2024. Whether that constitutes misconduct depends on each assessment’s rules.

    Is using AI for university work cheating?

    Not inherently — most reported uses are explanation, summarising and study support, and many departments explicitly permit disclosed AI assistance. It becomes misconduct where use breaks the assessment’s stated rules or misrepresents authorship. The brief for each assignment is the authority.

    Do universities provide AI tools to students?

    Mostly not yet: only 38 per cent of students say their institution provides AI tools, and only 36 per cent feel encouraged to use AI (HEPI/Kortext, 2026).

    Has assessment really changed because of AI?

    65 per cent of students say assessment has changed significantly in response to AI (2026). The direction of change varies — more in-person and oral assessment in some departments, explicit AI-permitted tasks in others.

    Who conducted this survey and how big is it?

    The Higher Education Policy Institute with Kortext, fieldwork by Savanta in December 2025, 1,054 full-time UK undergraduates. It is the fourth wave of the series, which is what makes its trend lines quotable.

    Does the survey cover postgraduate or part-time students?

    No — the sample is full-time undergraduates. Quoting the figures for postgraduates or the whole student body misstates the population.

    Are students confident AI skills matter for their careers?

    68 per cent believe AI skills are essential to thrive today, while fewer than half feel teaching staff help them develop those skills — one of the report’s clearest gaps.

    Can universities detect AI-generated writing?

    AI detection is probabilistic and contested, and no figure in this survey measures detection. Universities increasingly assess authorship through assessment design — orals, drafts, supervised work — rather than relying on detectors alone.

    Where can I read the full report?

    HEPI publishes the Student Generative AI Survey 2026 as Report 199 on hepi.ac.uk, free to download, with the questionnaire wording and full tables — the right source to cite in academic work.

  • Degree Classification Statistics UK 2026: How Many Students Really Get a First?

    Degree Classification Statistics UK 2026: How Many Students Really Get a First?

    In 2023-24, 28.8 per cent of UK-domiciled, full-time first-degree graduates at English higher education providers were awarded a first-class degree — the third consecutive annual fall, down from 33.3 per cent in 2021-22, yet still nearly double the 15.8 per cent of 2010-11 (Office for Students, sector-level analysis published January 2026).

    That single series is the story of modern UK degree classification: a decade of steep rises, a pandemic peak, and a managed retreat that has so far given back only part of the climb. Every figure below is from the OfS analysis and its accompanying release unless stated otherwise, and each is written to stand alone if quoted.

    The key figures at a glance

    Measure Value Source and year
    First-class degrees, 2023-24 28.8% OfS sector-level analysis (Jan 2026)
    First-class degrees, 2022-23 29.6% OfS (Jan 2026)
    First-class degrees, 2021-22 33.3% OfS (Jan 2026)
    First-class degrees, 2010-11 15.8% OfS (Jan 2026)
    Firsts plus upper seconds, 2023-24 77.2% OfS (Jan 2026)
    Firsts plus upper seconds, 2022-23 77.6% OfS (Jan 2026)
    Modelled firsts for 2023-24 if 2010-11 awarding behaviour had held 17.7% OfS statistical model (Jan 2026)
    Gap between modelled and observed firsts 11.1 percentage points — “nearly 40%” of firsts unexplained OfS (Jan 2026)
    Providers in the sector-level analysis 142 OfS (Jan 2026)

    What does “unexplained” actually mean?

    The OfS builds a statistical model of the graduate population using explanatory variables such as subject mix and entry qualifications, then asks what proportion of firsts those characteristics would predict if awarding behaviour had stayed as it was in 2010-11. For 2023-24 the model predicts 17.7 per cent; the observed figure is 28.8 per cent. The 11.1-point difference is what the regulator labels unexplained — equivalent to nearly four in ten of the firsts actually awarded.

    Unexplained is not a synonym for illegitimate. The OfS itself lists genuine improvements in teaching and learning among the possible causes, alongside factors that would count as inflationary — changes to degree algorithms and assessment practices. The label means the sector’s own data cannot distinguish between those explanations, which is precisely why the regulator keeps publishing the series and warning providers about algorithm design.

    Why do classification algorithms keep coming up?

    Because they are the mechanism through which identical marks can produce different degrees. A classification algorithm decides which module marks count, how years are weighted, whether the best credits are selected and how borderline candidates are lifted. Two universities can take the same transcript and classify it differently, and a rule change — discounting the lowest-scoring credits, widening a borderline zone — raises award rates without a single essay improving. That is why the OfS names algorithm and assessment changes among the possible inflationary causes and directs attention to how providers design them. For a student the practical reading is simple: your degree outcome is governed by a published set of rules, and reading your own institution’s classification algorithm in second year — before module choices are fixed — is worth more than any sector statistic.

    Is the fall since 2021-22 a correction?

    Partially. The combined first-and-upper-second rate fell for a third successive year to 77.2 per cent in 2023-24 — but the decrease from 2022-23 was 0.4 percentage points, smaller than the previous year’s fall, and the rate remains 9.7 percentage points above 2010-11. First-class awards alone remain 13.0 points above 2010-11. On the current trajectory, the sector is retreating from the pandemic peak slowly, and to a plateau well above the pre-2010s baseline rather than back to it.

    A chart showing degree classification trends presented in a lecture theatre
    The shape of the series: steep climb to 2020-21, then three years of managed descent that has returned only part of the rise.

    What do these percentages cover — and what do they not?

    Scope matters when you quote these numbers. The OfS analysis covers UK-domiciled, full-time first-degree graduates at 142 English providers that awarded classified degrees; it excludes part-time and international graduates and does not cover Scotland, Wales or Northern Ireland. UK-wide classification data across all four nations is published separately by HESA in its annual student statistics bulletins, with the 2024/25 release published in January 2026 — if you need a UK-wide or single-nation split, take it from HESA’s own tables rather than applying the England figures to the whole UK.

    One more scope note that students searching this topic often want: classifications end at the taught level. Research degrees are pass/fail examinations — a PhD is never awarded “with first-class honours” — and the outcome architecture at doctoral level looks entirely different, as the data on UK PhD viva outcomes shows.

    Three ways students misread these statistics

    First, treating the sector average as a personal probability. Award rates vary by subject, provider and entry profile; the 28.8 per cent is a description of a population, not odds assigned to you. Second, reading the fall in firsts as marking getting harsher this year in every department — the retreat is a sector-level trend produced by many separate institutional decisions, and your department’s marking may have moved in either direction. Third, assuming the boundary work is spread evenly across assessment. It is not: coursework marks bunch, and the classification is disproportionately decided by the pieces of work that carry the most discriminating weight, which in most degrees means the final-year project.

    What does a first actually take?

    The statistics describe the distribution, not the recipe, but the two connect in one useful way: as the share of firsts and 2:1s has grown, the discriminating work has moved into the final-year project. Coursework averages cluster; the dissertation is where marking criteria still separate bands sharply. The components markers consistently reward are a defensible method — argued, not asserted, in the methodology chapter — a literature review that synthesises rather than catalogues, and analysis that answers the question set. Length is not one of the criteria: the word budget is fixed by your department, and as our survey of dissertation word counts across UK universities found, what counts inside it varies sharply by institution.

    It is also worth saying plainly what the data does not support: no published dataset shows that using any particular tool, service or shortcut produces a first. What raises the probability is time on the parts markers weight — design, synthesis, analysis. If drafting speed is what limits your time on those, Tesify can help you structure and draft your dissertation around your own research — 100% written by you — so the hours go where the marks are.

    How to cite these figures

    Attribute the England classification series to the Office for Students’ sector-level analysis of degree classifications (published January 2026, covering 2010-11 to 2023-24), and note the population: UK-domiciled, full-time first-degree graduates in England. Attribute UK-wide totals to HESA’s Higher Education Student Statistics. Do not mix the two in a single sentence without saying so — they differ in both geography and population, and the difference is visible in the numbers.

    Frequently asked questions

    What percentage of UK students get a first-class degree?

    In England, 28.8 per cent of UK-domiciled full-time first-degree graduates received a first in 2023-24 (OfS, January 2026). UK-wide figures including Scotland, Wales and Northern Ireland are published by HESA and differ slightly by nation.

    What percentage get a 2:1 or above?

    77.2 per cent of the same population received a first or upper second in 2023-24, down from 77.6 per cent the year before (OfS, January 2026).

    Are firsts still rising?

    No — the proportion has fallen for three consecutive years, from 33.3 per cent in 2021-22 to 28.8 per cent in 2023-24. It remains far above the 15.8 per cent of 2010-11.

    What is grade inflation, in this context?

    The part of the rise in top degrees that cannot be accounted for by changes in the graduate population. The OfS models expected attainment from entry qualifications and subject mix; awarding above that prediction is labelled unexplained, and in 2023-24 the gap was 11.1 percentage points.

    Does “unexplained” mean universities are handing out unearned firsts?

    Not necessarily. The OfS lists improved teaching and learning among possible causes, alongside algorithm and assessment changes that would be inflationary. The honest reading is that the published data cannot separate the two.

    Was the pandemic the peak of degree inflation?

    The series rose considerably between 2010-11 and 2020-21 under no-detriment policies, and 2021-22’s 33.3 per cent firsts marked the start of the decline. Every year since has fallen, which the OfS describes as significant progress while noting how far above 2010-11 the sector remains.

    Is a 2:2 a bad degree?

    A 2:2 sits below the median in a distribution where 77 per cent receive a 2:1 or above, which is a labour-market disadvantage for schemes that filter at 2:1. It remains an honours degree, and plenty of employers and postgraduate routes accept it, particularly with relevant experience.

    Do postgraduate degrees have classifications like firsts?

    Taught master’s degrees typically use distinction, merit and pass rather than honours classes. Research degrees such as the PhD are pass/fail examinations with corrections categories, not classifications.

    Where can I find classification statistics for a specific university?

    HESA publishes qualifier data by provider, and the OfS complements its sector-level analysis with provider-level reporting. A university’s own annual quality reports sometimes break classifications down further by subject.

    Which subjects award the most firsts?

    Award rates differ substantially by subject, which is exactly why the OfS controls for subject mix in its model rather than comparing raw percentages between disciplines. For subject-level rates, use HESA’s qualifiers tables for the year you need rather than a sector average.

  • Where to Find UK Data for Your Dissertation: Free Sources by Subject (2026)

    Where to Find UK Data for Your Dissertation: Free Sources by Subject (2026)

    Secondary data analysis is the most underused route through a UK undergraduate dissertation. It removes the recruitment problem, removes most of the ethics burden, and gives you sample sizes no student survey will ever reach. The obstacle is not availability — it is knowing which sources an undergraduate can actually get into.

    That is the organising principle here. Every source below is real, currently live, and free at the point of use. What differs is the access tier, and one of those tiers is effectively closed to you.

    First, understand the three access tiers

    The UK Data Service — the UK’s largest collection of economic, population and social research data, funded by UKRI through the Economic and Social Research Council — operates a three-tier model that most other UK data holders mirror in some form.

    • Open. Neither login nor registration is required. Published under the Open Government Licence or Creative Commons. Download and go.
    • Safeguarded. You register and accept an End User Licence, agreeing not to share the data with unregistered users, not to attempt to identify individuals, and to cite the data correctly. This is the undergraduate route, and for students at UK institutions registration usually runs through your university login.
    • Controlled. Accessed only in a secure environment, requiring a detailed project application, accredited researcher status, training and an institutional legal agreement. The UK Data Service states directly that these data “are not suitable for use by inexperienced researchers, such as undergraduates, and should only be used if absolutely necessary.”

    Read that last line before you build a project around a controlled dataset. Students lose weeks discovering this at the application stage. Plan for open and safeguarded data, and treat anything controlled as out of scope.

    A related trap: the Office for National Statistics Secure Research Service provides access to de-identified unpublished data under the Five Safes framework, but full accredited researcher status requires an undergraduate degree or higher including a significant proportion of maths or statistics, or several years of quantitative research experience. It is not an undergraduate route either.

    Psychology, sociology and social policy

    UK Data Service is your first stop. It holds the major UK social surveys, and its safeguarded tier is designed for exactly the kind of secondary analysis an undergraduate project needs. Register through your institution, accept the End User Licence, and you have access to survey data with sample sizes in the thousands.

    UK Data Archive, based at the University of Essex, is the lead partner of the UK Data Service and has curated the UK’s social, economic and population data for over fifty years. It was the first academic department in a university to be awarded ISO 27001 certification, and was accredited in 2020 by the UK Statistics Authority under the Digital Economy Act 2017. In practice you will usually arrive at its holdings through the UK Data Service catalogue.

    Office for National Statistics publishes population, labour market, wellbeing and social survey outputs, all under the Open Government Licence v3.0. No registration, no licence negotiation.

    Politics and international relations

    The British Election Study has been explaining Britain’s electoral behaviour for sixty years and releases its data openly to researchers. Its two main strands are a large internet panel, currently released through Wave 30, and a random probability survey following the 2024 general election. For a dissertation on voting behaviour, partisanship or turnout, this is the field’s standard evidence base, and using it puts you on the same data as published political science.

    Check the study’s own data pages for the current registration requirements before planning around it, as access conditions differ between the panel and the probability survey.

    Criminology

    data.police.uk publishes street-level crime data, outcome data, and stop and search records, alongside police force and neighbourhood-level information and the Police Annual Data Requirement covering matters such as arrests and 101 call handling. It is released under the Open Government Licence v3.0 and offers an API as well as bulk downloads.

    For a criminology dissertation this is unusually good material: it is geographically granular, it is longitudinal, and it needs no ethical approval because it concerns recorded incidents rather than identifiable individuals. Be careful with the well-known limitation, though — recorded crime measures what was reported and recorded, not what occurred, and your analysis should say so.

    Education

    Explore Education Statistics, operated by the Department for Education and regulated by the Office for Statistics Regulation, is the single best entry point. It provides statistical summaries, an open data catalogue, a custom table builder and an API. The table builder matters for undergraduates: it lets you construct exactly the extract you need without writing code.

    This is also the appropriate source for attainment, absence, workforce and school-characteristics data — figures that circulate widely in secondary form but should be cited from the publisher.

    Health and nursing

    NHS England is now the custodian of England’s national health and social care datasets. Note the organisational change, because citing the wrong body dates your work immediately: NHS Digital legally merged into NHS England on 1 February 2023, and the regulations that effected the merger transferred NHS Digital’s functions to NHS England and abolished NHS Digital. The digital.nhs.uk domain still resolves, now branded NHS England Digital, which is why the old name persists in student bibliographies.

    A hard constraint sits alongside this for health students. The Health Research Authority states that standalone research at undergraduate level requiring ethics review or HRA approval cannot take place, and that undergraduate applications are no longer accepted for Research Ethics Committee review. Published aggregate NHS statistics are unaffected — you can analyse them freely — but a project involving NHS patients or staff as participants is not available to you. Secondary analysis is the HRA’s own suggested alternative, which makes this section the pragmatic route rather than the consolation prize. Our guide to choosing a survey platform and getting ethics right sets out that restriction in full.

    Economics, business and geography

    Nomis, a service provided by the Office for National Statistics, is the specialist labour market and census portal. It holds census data from 1921 onwards, labour market profiles, employment figures, population estimates and claimant counts, and most of the site can be used without registering. For any dissertation with a local or regional dimension — comparing labour markets across local authorities, mapping deprivation, tracking employment change — Nomis will do in minutes what would otherwise take days.

    data.gov.uk is the general catalogue of UK public data, published under the Open Government Licence v3.0. It is broad rather than deep: use it to discover that a dataset exists, then go to the publishing body for the authoritative version and the documentation.

    How to choose a dataset without wasting a fortnight

    Work in this order.

    1. Find the documentation before the data. Read the user guide and the questionnaire. If you cannot tell from the documentation which variable answers your research question, the dataset is not the right one.
    2. Check the access tier immediately. Open or safeguarded means you can proceed. Controlled means choose a different dataset.
    3. Check the unit of analysis. Individuals, households, schools, police force areas and local authorities are not interchangeable, and a mismatch between your research question and the unit will not be fixable later.
    4. Check the years available. A question about change over time needs comparable measures across waves, and survey questions get reworded more often than students expect.
    5. Download and open it before committing. Confirm the file format works with your software and that the variables you need are actually populated rather than missing for most respondents.

    Whichever package you plan to use, check it can read the file format — most UK archives distribute in formats that all the mainstream options handle, but confirming early avoids an unpleasant surprise. Our comparison of SPSS, R and jamovi covers the trade-offs if you have not settled on one.

    Open government datasets displayed as tables and charts on a monitor
    Read the documentation before the data — the variable list decides whether a dataset can answer your question.

    The advantage nobody mentions: your sample size problem disappears

    A student survey that reaches sixty people is powered to detect only large effects. A national social survey gives you thousands of cases, which means your project can address questions a primary-data undergraduate study genuinely cannot.

    That changes what you should write in your methods chapter. With secondary data you are not justifying a small convenience sample; you are justifying your analytic sample — the cases you retained after applying inclusion criteria and handling missing data — and explaining any weighting the survey requires. Our guide to sample size for an undergraduate dissertation covers how to frame that argument, and the same chapter-level discipline described in our guide to writing a methodology chapter applies: describe the decision, then defend it.

    Cite the data properly

    Datasets are citable objects with their own reference formats, and the End User Licences you accept normally require correct citation as a condition of access. Cite the data creator, the year, the title, the edition or wave, the distributor and the persistent identifier. Most archives publish the exact citation string on the dataset’s landing page — use theirs rather than composing your own.

    Also cite the version. Survey datasets are revised, and a reader who cannot tell which edition you analysed cannot reproduce your results.

    Once the data are in hand, the remaining work is writing the analysis up so the argument is legible. If that is where you are stuck, you can draft those chapters in Tesify from your own output and your own interpretation — 100% written by you.

    Frequently asked questions

    Do I need ethical approval for secondary data analysis?

    Usually a lighter process rather than none. Many departments require a short ethics form even for anonymised secondary data, and analysing existing data does not exempt you from your institution’s review procedures. Ask your supervisor before assuming you are exempt.

    Can undergraduates register with the UK Data Service?

    Yes, for open and safeguarded data, normally through your institutional login. Controlled data is a different matter — the service states explicitly that it is unsuitable for inexperienced researchers such as undergraduates.

    Is secondary data analysis seen as an easier dissertation?

    No, and it is marked on the same criteria. What you save in recruitment you spend on data management: understanding a complex dataset, handling missing values, deriving variables and applying weights correctly are substantial analytical tasks in their own right.

    Should I cite NHS Digital or NHS England?

    NHS England, for anything current. NHS Digital was abolished when it merged into NHS England on 1 February 2023. Cite NHS Digital only for material it published before that date, under the name it carried at the time.

    What does the Open Government Licence let me do?

    Broadly, it permits you to copy, adapt and use the information, including commercially, provided you acknowledge the source with the required attribution statement. For a dissertation this means you can analyse and reproduce the data freely as long as you cite it.

    Can I combine two different datasets?

    Sometimes, and it can produce a genuinely original project — for example joining local-authority-level crime and education data. Check that the geography, time period and definitions genuinely match, and note that some licences restrict linking datasets, so read the terms before you merge.

    What if the dataset I want is controlled?

    Redesign around an open or safeguarded alternative. Applications for controlled access involve accreditation, training and institutional agreements on timescales that do not fit an undergraduate project, and the holders themselves advise against it at this level.

  • How Long Is an Undergraduate Dissertation? Word Counts by Subject at UK Universities (2026)

    How Long Is an Undergraduate Dissertation? Word Counts by Subject at UK Universities (2026)

    Verified undergraduate dissertation word limits at UK universities range from 6,000 to 15,000 words, and the figure is set by your individual department — not by your university, and not by any national standard.

    That last point matters more than the range. There is no sector-wide UK dataset of dissertation word counts. The Quality Assurance Agency publishes subject benchmark statements describing what degrees in each discipline should achieve, but these are explicit that they provide general guidance and are not intended to prescribe set approaches — they carry no word limits. The Office for Students publishes no dataset on assessment design. The number that governs you exists in one place: your module handbook.

    What follows is a set of real, attributable data points gathered from published UK university module catalogues and handbooks, so you can see the spread and where your subject typically sits.

    Verified undergraduate dissertation word limits by subject

    Words Institution Subject / module Source year
    6,000 max University of Cambridge Biological and Biomedical Sciences (NST Part II) 2026–27 deadlines
    6,000 Keele University Nursing (NUR-30223, Level 6) Updated 2025
    7,000 max Durham University Psychology (PSYC3102) 2024–25 handbook
    7,500 University of Oxford Mathematics (Part C) Updated 2025
    7,000–14,000 University of Sheffield Computer Science (COM3610) 2026–27
    8,000 Keele University Sociology (SOC-30028, Level 6) Updated 2026
    8,000–10,000 University of Kent Business Management Project (BUSN7550) 2024–25
    9,000 University of Warwick History (HI3S2-30), excluding footnotes and bibliography 2023 catalogue
    10,000 University of Glasgow Law (LAW4011P, LL.B Honours) Current catalogue
    10,000 Newcastle University Sociology (SOC3097) 2026–27
    10,000 max University of Reading Geography and Environmental Science (GV3GED) 2025–26
    10,000 University of Surrey Politics and International Relations (POL3061) 2025–26
    10,000 max University of Edinburgh English Literature (Honours) Departmental handbook
    12,000 max University of Cambridge Computer Science (Part II), also capped at 40 pages 2025–26
    ~12,000 ±10% University of Manchester Alliance Manchester Business School 2025–26
    12,000–15,000 London School of Economics Law (LL399, LLB Year 3) Calendar 2025–26

    Treat this as a sample, not a census. These are the departments that publish their limits openly; many do not, and limits change between academic years. If your own department is not listed, the useful move is not to adopt the closest figure above but to find your own handbook — the table tells you what is normal, not what is required of you.

    What the pattern shows

    Three readings are supportable from the table above.

    Lab and mathematical sciences sit at the short end. Cambridge biological sciences caps at 6,000 and Oxford mathematics at 7,500. Where results are carried by figures, derivations and tables, the prose does less of the work. A shorter limit in these disciplines is not a lighter workload — the effort has moved into producing the results rather than narrating them, and the writing that remains has to be correspondingly dense.

    Humanities, law and social sciences cluster at 9,000–12,000. Warwick history at 9,000, Glasgow law and Newcastle sociology at 10,000, LSE law reaching 15,000. Argument-driven disciplines need room to develop an argument: positions have to be set out fairly before they can be challenged, and that takes words.

    Computer science is unusually wide. Sheffield’s range of 7,000–14,000 reflects projects where a substantial software artefact may carry weight the write-up does not have to. Where a range like this exists, the sensible reading is that the lower bound applies to artefact-heavy projects and the upper to more analytical ones — but confirm that with your supervisor rather than inferring it.

    The rule students get wrong: what counts towards the total

    Inclusions vary by department and are not negotiable, so check before you plan your chapters. Real published examples show how far practice diverges:

    • Cambridge Biological and Biomedical Sciences states that references and citations within the text count towards the word total.
    • Warwick History sets 9,000 words excluding footnotes and bibliography — a meaningful difference in a discipline that footnotes heavily.
    • Reading Geography sets a 10,000 maximum including references but excluding appendices.

    The same nominal number can therefore mean substantially different amounts of writing. A history student with 9,000 words excluding footnotes has materially more room than a biosciences student with 6,000 words including in-text citations, and the gap widens the more heavily you cite. Work out your department’s inclusion rule before you allocate words to chapters, not after — rebalancing six chapters late in the process is one of the most demoralising jobs in the whole project.

    Is there a 10% tolerance?

    Sometimes, and you must not assume it. Manchester’s Alliance Manchester Business School figure is expressed as approximately 12,000 with a ±10% band. The University of Edinburgh’s English Literature dissertation handbook takes the opposite position in unusually direct language, stating that the department does not operate a plus or minus 10% rule of any kind and that the 10,000-word limit is precise and definitive.

    If your handbook does not mention a tolerance, assume there is none.

    A student checking the word count of a dissertation chapter against departmental limits
    Check your word count against the departmental inclusion rule, not against your word processor’s total.

    How to divide the words across chapters

    There is no official allocation, but a conventional empirical dissertation splits roughly as follows. On a 10,000-word limit:

    Chapter Share On 10,000 words
    Introduction 10% 1,000
    Literature review 25–30% 2,500–3,000
    Methodology 15–20% 1,500–2,000
    Results / findings 20% 2,000
    Discussion 20% 2,000
    Conclusion 5–10% 500–1,000

    A literature-based dissertation redistributes this substantially, with the review and analysis absorbing what methodology and results would otherwise take — one reason the choice between review types is a planning decision as much as a methodological one, as set out in our guide to literature reviews versus systematic reviews.

    The methodology chapter is where students most often under-spend. At 15–20% it needs to justify decisions rather than list them, which is the distinction our guide to writing a methodology chapter works through.

    Plan backwards from the limit, not forwards from chapter one

    The most common structural failure in undergraduate dissertations is a literature review that swells to half the word count because it was written first and without a budget. By the time the student reaches the discussion — the chapter that carries the most analytical credit — there is no room left, and the section that should demonstrate independent thinking gets four hundred rushed words.

    The fix is to assign a word budget to every chapter before you draft, write to it, and treat overruns as debts to be repaid from the same chapter rather than borrowed from later ones. Two practical habits help. Keep a running table of target versus actual for each section, so overspend is visible early rather than at the end. And draft your discussion at least in outline before you finish polishing your literature review, so you know what argument the earlier chapters need to set up.

    This also protects the part of the dissertation markers weight most heavily. A well-proportioned piece signals that you understood the relative importance of each stage of the research, which is itself an assessed judgement.

    Why no national dataset exists

    Word limits are set at module level by academic departments, as part of assessment design that sits within each provider’s own academic governance. No UK body collects them centrally, and there is no regulatory reason for one to. Any figure presented online as “the average UK dissertation length” is therefore an estimate assembled from published handbooks — as the table above is — rather than a statistic drawn from a national collection.

    This is worth stating plainly because the figure circulates widely with unwarranted precision. If you need a citable number for your own writing, cite a named department’s published limit, not a sector average.

    What to do if you are over

    Cutting is an editing problem with a reliable order of operations. Remove whole redundant paragraphs before trimming sentences; a paragraph that restates the previous one is worth more than fifty tightened phrases. Cut description of studies in your literature review that do not bear on your argument. Move detailed instrument content, coding frames and full output tables to appendices where your department excludes them from the count. And check the inclusion rule again — students frequently over-cut because they counted references their department does not count.

    What if you are well under?

    Coming in several thousand words short is a signal worth reading rather than a gap to be filled. It usually means one of three things: your literature review is describing studies instead of putting them into conversation, your discussion is restating results rather than interpreting them against the literature, or your methodology is listing what you did without justifying why.

    All three are fixed by adding analysis, not words. Padding with additional background, longer quotations or restated conclusions is transparent to markers and tends to cost more marks than the short length would have. If you genuinely have nothing further to say about your findings, that is an argument for revisiting your discussion structure — and if the shortfall sits in the methods chapter, the usual missing ingredient is a defence of decisions such as your sample size, which our guide to sample size for an undergraduate dissertation shows how to write.

    If your structure is sound and the drafting is what has stalled, you can build your chapters to a target length in Tesify, working from your own material and your own argument — 100% written by you.

    Frequently asked questions

    What is the average undergraduate dissertation length in the UK?

    There is no official average, because no national dataset exists. Across the 16 published departmental limits verified above, the range is 6,000 to 15,000 words, with the largest cluster between 9,000 and 12,000.

    Does the abstract count towards the word limit?

    It varies by department, and it is one of the most commonly misread rules. Check your handbook; where it is silent, ask your supervisor and get the answer in writing.

    What happens if I go over the word limit?

    Penalties differ by institution. Some deduct marks on a scale, some mark only up to the limit and stop reading, some apply a cap. Because the penalty is set locally, the only reliable source is your own assessment regulations.

    Do tables and figures count as words?

    Usually not the figures themselves, but text inside tables often does, and captions frequently do. Departments that exclude tables entirely are the exception rather than the rule.

    Is a longer dissertation a better dissertation?

    No. Limits are maximums, not targets, and markers assess argument, method and evidence. A tightly argued piece at 9,000 words routinely outperforms a padded one at the 10,000 ceiling.

    Why are science dissertations shorter than humanities ones?

    Because the evidence is carried differently. A results chapter built on figures and tables conveys in a page what an argument-driven discipline needs several thousand words to establish. The workload is comparable; the prose requirement is not.

    Can I ask for a word limit extension?

    Word limits are generally fixed as part of assessment design and are not extended, though deadline extensions for extenuating circumstances are a separate and usually available process. Ask your supervisor about the deadline, not the limit.

    Should I include my word count on the title page?

    Many departments require it, and some require a signed declaration that the stated count is accurate. Check your submission checklist, and make sure the number you declare was calculated using your department’s inclusion rule rather than your word processor’s default total.