Thesis Completion Rates Statistics by University: 2026 Data Roundup
Thesis completion rates statistics by university reveal one of higher education’s most persistent challenges: fewer students finish advanced degrees than enrolment figures suggest. Across doctoral programs in the United States and the United Kingdom, completion rates for graduate students range from below 40% to above 85%, depending on the institution, discipline, and decade of entry. Understanding why so many students stall — and which universities perform best — is essential for anyone planning or currently navigating postgraduate study.
This data roundup aggregates the most current published figures from the National Science Foundation, Duke University’s Graduate School, the National Student Clearinghouse Research Center, Inside Higher Ed, and independent peer-reviewed analyses. All figures are updated for 2026 where available, with earlier trend data included for context.
Key Findings at a Glance
Before diving into granular breakdowns, here are the headline numbers drawn from the most authoritative sources available as of 2026:
- Approximately 43–45% of doctoral students in the US never complete their degree, according to Statistics Solutions’ longitudinal analysis of NSF Survey of Earned Doctorates data.
- The average 10-year PhD completion rate across US research universities is approximately 56.6%.
- In Texas (one of the most comprehensively tracked state systems), graduate student completion within six years rose from 58% (2003–04 cohort) to 68% (2012–13 cohort) — a 10-percentage-point gain in a decade.
- At the master’s thesis level, one European department study tracking 2010–2017 cohorts found a 43% non-completion rate for thesis projects specifically.
- Law and health professional programs have median completion rates exceeding 80%, while education and family/consumer science programs see rates as low as 55%.
National Completion Rate Data (US)
The most comprehensive longitudinal source for US doctoral completion is the NSF’s Survey of Earned Doctorates (SED), supplemented by the Council of Graduate Schools’ PhD Completion Project. Together they track multi-year cohorts across hundreds of institutions.
| Time Window | Completion Rate (Approx.) | Source |
|---|---|---|
| 5 years | ~37% | CGS PhD Completion Project |
| 7 years | ~54% | CGS PhD Completion Project |
| 10 years | ~56.6% | Statistics Solutions / NSF SED |
| 6 years (Texas cohort 2012–13) | 68% | Texas Higher Education Coordinating Board |
These figures mask large inter-institutional variance. Elite research universities with strong funding pipelines and structured mentorship tend to perform considerably better than underfunded regional programs. The NSF’s 2024 Survey of Earned Doctorates confirms that doctoral completion has been on a modest but consistent upward trend since 2010.
Completion Rates by Academic Discipline
Discipline is arguably the strongest predictor of whether a student will complete their thesis. The data consistently show a two-tier structure: STEM and professional fields complete at higher rates; humanities and social sciences lag significantly.
| Discipline | Median Completion Rate | Notes |
|---|---|---|
| Law / Health Professions | >80% | Structured programs with clear milestones |
| Life Sciences / Biology | ~70–75% | Strong lab funding, defined experiments |
| Engineering / Computer Science | ~68–72% | High industry demand accelerates completion |
| Social Sciences / Psychology | ~55–63% | Longer data collection timelines |
| Humanities / History / English | ~48–56% | Longer degree timelines, funding gaps |
| Education / Family Sciences | ~55% | Often part-time enrolment increases attrition |
These figures draw from ResearchGate’s dataset of mean completion rates across selected disciplines and the CGS PhD Completion Project’s multi-institution findings. The gap between law/health and humanities has remained stubborn over two decades, reflecting structural differences in funding, supervision norms, and the clarity of degree milestones rather than student quality.
University-Level Statistics
Individual universities increasingly publish their own longitudinal data, partly in response to accountability pressures and partly to aid prospective students. Duke University’s Graduate School publishes annual cohort-level statistics that offer one of the most transparent university-level datasets publicly available.
| Institution | Cohort Window | 10-Year Completion Rate |
|---|---|---|
| Duke University | 2006–2015 cohorts | Published department-by-department (see Duke Graduate School) |
| University of Texas system | 2003–2013 cohorts | 58% → 68% (six-year window) |
| National average (US research universities) | 2010–2020 cohorts | ~56–62% |
| Public 4-year universities (undergrad) | 2024 | 71% (six-year graduation rate) |
The Duke Graduate School’s all-departments statistics page provides one of the clearest per-department breakdowns at a research-intensive university. Prospective students are encouraged to request similar data from any program they are considering — most accredited programs are required to provide it on request.
UK Thesis Completion Data
The United Kingdom operates a slightly different doctoral system, with most PhD programs running on a nominal 3-to-4-year timeline (compared to 5–7 in the US). The Higher Education Statistics Agency (HESA) tracks submission and completion rates, though headline figures are less frequently published at the discipline level than in the US.
- UK PhD submission rates within four years of enrolment typically run between 70% and 80% at research-intensive Russell Group universities.
- The Research Excellence Framework (REF) indirectly pressures universities to improve completion timelines, as submitted work must meet quality thresholds.
- A 2025 Tandfonline study benchmarking retention, progression, and graduation rates across undergraduate higher education confirmed that institutional support structures — not student characteristics alone — drive completion variance.
- UK government funding rules for Research Councils stipulate that institutions with PhD submission rates below 70% within four years face funding penalties, creating institutional incentive for improvement.
Master’s vs PhD Completion Rates
The distinction between master’s and doctoral completion matters because they represent very different stages of academic commitment and financial investment.
| Degree Level | Typical Completion Rate | Typical Completion Timeline |
|---|---|---|
| Bachelor’s (4-year public) | 71% | Six years |
| Master’s (with thesis) | 57–68% | 2–3 years |
| Doctoral (PhD) | 43–65% | 5–10 years |
Master’s programs with thesis requirements have their own distinct attrition profile. A Springer Nature study examining learning analytics and machine learning to identify factors behind thesis completion and non-completion found that the drop-off point is concentrated in the early writing phase, when students transition from coursework to independent research. Students who struggled to define their research question within the first semester had significantly higher non-completion rates.
If you are currently navigating the writing phase, resources on how to write a thesis introduction step by step can help you build momentum before the drop-off window.
Completion Rate Trends Over Time
The data from Inside Higher Ed and the NSF consistently points in one direction: completion rates have been rising, slowly but measurably, since the mid-2000s. Several explanations for this trend have been proposed:
- Improved structured mentorship programs: Many universities now require formal supervisory plans and milestone checkpoints that catch struggling students earlier.
- Cohort-based training: Programs that move students through structured cohorts show higher completion rates than self-paced individual study models.
- Funding improvements: Increased stipend levels and multi-year funding guarantees in STEM fields reduce the financial precarity that drives withdrawal.
- Mental health support: Growing institutional investment in graduate student counselling services has helped address the mental health pressures associated with thesis writing.
- Digital writing tools: The rise of AI-assisted writing tools has reduced the paralysis of the blank page. Platforms like Tesify Write allow students to structure and draft thesis chapters more efficiently, reducing time-to-first-draft.
The Inside Higher Ed 2024 report confirms the upward trend while noting that variation by discipline remains the dominant feature of the data.
Why Students Don’t Complete
Understanding the causes of non-completion is as important as tracking the rates. The CGS PhD Completion Project identifies several major drivers:
| Reason | Prevalence Among Non-Completers |
|---|---|
| Advisor/supervisory relationship issues | ~40% |
| Financial pressures / insufficient funding | ~35% |
| Mental health challenges (anxiety, depression) | ~30% |
| Life events (family, illness) | ~25% |
| Lack of academic fit / changed research interest | ~20% |
| Writing block / inability to finish dissertation | ~18% |
The supervisory relationship is the single most documented factor in non-completion. Research published at Springer confirms that students who report a poor relationship with their principal supervisor are significantly more likely to withdraw at all stages of the thesis process, particularly during the writing phase.
Writing block — the persistent inability to draft and submit chapters — is under-reported but increasingly recognised. Many universities now offer writing retreats, thesis boot camps, and structured accountability programs. See also the data on average time to complete a thesis by degree level for context on how long peers typically spend on each stage.
How Students Can Improve Their Odds
The data suggest several evidence-backed strategies for students who want to be on the right side of these statistics:
- Choose your supervisor carefully. The CGS data is unambiguous: advisor relationship quality is the strongest modifiable predictor of completion. Meet with multiple potential supervisors before committing.
- Set structured milestones early. Programs with formal yearly review panels have consistently better completion rates than those without. If your program lacks them, create your own.
- Write from day one. The Springer learning analytics study found that students who began writing earlier in their program — even rough notes — had substantially lower non-completion rates. Resources like how to write a thesis conclusion with examples can help demystify the end goal even at the start of a program.
- Use writing support tools. AI thesis writing tools have become a legitimate productivity resource. Platforms built specifically for academic writing, such as Tesify Write, can generate structured chapter outlines, help you overcome blank-page paralysis, and ensure your writing maintains academic register throughout.
- Monitor your mental health proactively. Given that ~30% of non-completers cite mental health challenges as a factor, early intervention through university counselling services is one of the highest-leverage actions available.
For a deeper look at how AI tools are changing the thesis writing experience, see our article on what is the best AI tool for writing a thesis in 2026.
Frequently Asked Questions
What is the average PhD completion rate in the United States?
The average 10-year doctoral completion rate across US research universities is approximately 56.6%, meaning roughly 43–44% of PhD students do not complete their degree. Rates vary significantly by discipline, from over 80% in law and health professions to around 48–56% in the humanities.
Which universities have the highest thesis completion rates?
Elite research universities with strong funding structures and formal mentorship requirements — including Ivy League institutions and leading UK Russell Group universities — tend to report higher completion rates. Duke University publishes among the most transparent department-level completion rate data. Rates at leading institutions often exceed 70–80% for STEM disciplines.
What percentage of master’s students finish their thesis?
Master’s thesis completion rates are higher than doctoral rates overall, typically ranging from 57% to 68% depending on field and institution. However, some department-level studies have found thesis-specific dropout rates of approximately 43% — distinct from students who transfer to coursework-only routes or exit with a non-thesis master’s qualification.
Are thesis completion rates improving over time?
Yes. Data from Inside Higher Ed and the NSF shows a consistent upward trend since the mid-2000s. In Texas, six-year graduate completion rates rose from 58% for the 2003–04 cohort to 68% for the 2012–13 cohort — a 10-percentage-point gain. Improved mentorship structures, better mental health support, and increased funding are credited with the improvement.
What is the main reason PhD students don’t complete their thesis?
The supervisory relationship is the most commonly cited factor in non-completion, affecting approximately 40% of students who withdraw. Financial pressures (35%), mental health challenges (30%), and life events (25%) are also major contributors. Writing block — the inability to produce and submit chapters — is a recognised but under-reported factor affecting roughly 18% of non-completers.
How do completion rates differ between STEM and humanities PhD programs?
STEM disciplines consistently outperform humanities in completion rates. Engineering and computer science programs typically see 68–72% completion; life sciences 70–75%. Humanities (history, English, philosophy) typically see 48–56% completion. The gap reflects structural differences: STEM students usually receive stipends and lab placements that structure their time, while humanities students often work more independently with less financial security.
Can AI tools help students complete their thesis?
Yes. AI thesis writing tools help students overcome writing block — one of the most commonly cited proximate causes of non-completion. Platforms like Tesify Write provide structured chapter outlines, writing prompts, and AI-assisted drafting tailored to academic conventions, helping students move from research to a first complete draft more efficiently. The key is using AI as a structural and productivity aid rather than as a replacement for original scholarly thinking.






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