University grade distribution: what the data actually shows

Universities sit on detailed data about how students perform in every single module they offer. Grade distributions, pass rates, fail rates, cohort sizes—it's all there, disaggregated by mark band.

They just don't publish it.

Most students never see this data. They have no idea whether the modules they're considering have historically produced firsts or if they're ceiling-constrained low-ceiling modules where everyone bunches into the mid-60s. So they choose based on timetable, content, or mates.

If you file a Freedom of Information request, though, you can see exactly what the distributions look like. And the patterns are stark.

What the data reveals

The most surprising finding: module difficulty and grade distribution are barely correlated.

You'd expect the "hard" modules to have harsher distributions—more fails, fewer firsts. In reality, the opposite is often true.

Hard modules often have wider distributions. More firsts, yes, but also more fails. The assessment is clear, the grading is transparent, and if you understand the material, you can push to 75%+. If you don't, you fail.

Easy-sounding modules—"introduction to," "survey of," "overview of"—often have compressed distributions. Everyone gets 60–68%. Firsts are rare. The assessment bunches everyone together; there's a ceiling at 68% that's hard to break through.

Why? Because easy modules attract students of all abilities. Assessment is vaguer. Partial credit is common. The distribution compresses toward the middle.

Hard modules self-select for stronger students and have assessment that rewards depth. Wider distribution. Higher ceiling.

The assessment format effect

The data strongly supports this pattern: assessment format drives distribution shape.

Exam-heavy modules:

• Sharper, wider distributions
• More firsts (often 35–45% of the cohort)
• More fails (if the exam is genuinely difficult)
• Clear boundaries between capability levels

Coursework-heavy modules:

• Compressed, middle-bunching distributions
• Firsts are rarer (10–20%)
• Very few fails (deadlines aren't optional)
• Cohort clusters at 60–68%

Mixed assessment (exams + coursework):

• Depends entirely on weighting
• 60% exam → wider distribution
• 60% coursework → compressed distribution

If you're aiming for a first and you have a choice, pick exam-heavy modules with a track record of high first-rates.

The cohort size signal

Another pattern in the data: cohort size matters, but not how you'd expect.

Small cohorts (under 20 students) have high variance. One exceptional year, the first-rate is 50%. The next year, it's 15%. The distribution is unstable.

Large cohorts (100+ students) have stable distributions. The first-rate is consistent year-on-year. If it was 40% last year, it'll likely be 38–42% this year.

Medium cohorts (30–70 students) are the sweet spot: enough students to stabilise the distribution, small enough that departmental teaching approaches are consistent.

From a strategic perspective: if you're looking at modules with consistent, high first-rates, check the cohort size. Modules with large cohorts are more predictable.

How to get this data

You don't need to hope. You can ask for it directly.

Option 1: Ask your department Walk into your undergraduate office with a coffee. Say: "Do you have data on module-level grade distributions? I'm trying to make smart module choices." Many departments have unofficial tracking or will pull the data for you informally.

Option 2: File a Freedom of Information request It's free. Write to your university's records office. Ask for: "Module-level grade distributions for [subject] for the past three years, disaggregated by mark band (40–49%, 50–59%, 60–69%, 70%+)."

Legally, they have 20 days to respond. Most universities turn this around in 10.

Option 3: Check with current students Second-year students who've already taken the modules can tell you which ones ran generous distributions. It's not scientific, but it's a signal.

What to do with the data

Once you have it, use the module choice framework: identify modules with high first-rates, cross-check assessment format, avoid ceiling-constrained modules, and pick modules where you have capability.

This is the competitive advantage. Most of your cohort is choosing by accident. You're choosing by data.

See what FOI data reveals about UK marking for deeper analysis of the patterns hidden in the numbers.

---

Ready to see module-level grade distributions for your university? GradeHack gives you access to historical grade data from UK universities. Join the waitlist to make informed module choices based on real, public data.