Module Pass Rates UK: What FOI Data Reveals

Some university modules have a fail rate that would give you pause. A handful have fail rates north of 10%. A few spike higher in particular years.

Universities do not publicise this. Module handbooks describe the content, the assessment format, the reading list. They do not say "one in eight students who took this module last year did not pass."

FOI data does.

Why pass and fail rate data matters

The pass/fail threshold is the floor of any module. Understanding it matters for two reasons.

First, failing a module has consequences beyond the grade. Most UK degrees require you to pass all modules to progress. Some allow resits; some carry the fail mark forward into your average. The exact rules vary by institution. But a fail is not just a bad mark -- it is a procedural problem.

Second, fail rate data tells you something about a module's risk profile that standard grade distribution data does not. A module where most students cluster between 55% and 70% has a different risk profile from one where grades split between high-scorers and failures.

For context on how module grades feed into your final classification, see does module choice affect your degree class.

What FOI responses show

GradeHack has compiled FOI data from UK universities on module-level grade distributions. The pass rate picture that emerges is more varied than most students expect.

Year 2 modules have higher fail rates than Year 1 modules at the same universities. This is consistent across subjects. The jump in difficulty and expectation between Year 1 and Year 2 produces a corresponding jump in fail rates. Students who scraped through Year 1 on minimal effort are more exposed in Year 2.

Quantitative modules in non-quantitative degrees consistently produce higher fail rates. Statistics modules in Psychology degrees, maths-heavy modules in Economics programmes, and methods modules in Social Science degrees all show systematically higher fail rates than the subject-specific modules surrounding them. This is partly a selection effect -- students choose those degrees partly to avoid heavy maths -- and partly a genuine difficulty gradient.

Resit rates track fail rates closely. Modules with higher fail rates also have higher resit uptake. A high-resit module is flagging that students regularly need a second attempt to pass.

Single large-cohort modules sometimes have outlier fail years. A module that has run cleanly for three years can spike in one year -- a new lecturer, a different exam format, an unusual cohort. Year-by-year data matters more than multi-year averages for identifying this.

For broader context on grade distribution patterns, see university grade distribution: the data UK universities hide.

How to read pass rate data

Pass rate data in isolation is useful but incomplete. Here is how to use it well.

Compare against the department average, not the national average. A 12% fail rate in Engineering might be unremarkable for that programme's historical range. The same rate in an English Literature module is a serious outlier. Context is everything.

Look at the distribution of passing grades, not just the pass/fail threshold. A module with a 5% fail rate and a median grade of 52% is a different module from one with a 5% fail rate and a median of 64%. The former is borderline-heavy -- almost everyone scrapes through. The latter is more relaxed. Both have low fail rates; they are not equivalent choices.

Weight by the credit value of the module. A high-risk, low-credit module contributes less to your degree average than a high-risk, high-credit module. The threat level of a module's difficulty is proportional to how much it counts.

For broader context on why grade distributions vary across modules, see module difficulty at university.

What high fail rates signal about module structure

Not every high fail rate reflects content difficulty. Some modules fail students at high rates because of structural features.

Assessment design that punishes risk. Single-exam modules with no formative feedback route leave students who misread the question without recovery options. The fail rate goes up not because the content is harder, but because the assessment is less forgiving.

Ambiguous or shifting marking standards. Some modules have fail rates that spike in particular years when a new marker applied stricter calibration. This shows up in year-by-year FOI data as a visible step change.

High attendance requirements with formal failure penalties. Some departments fail students for attendance below a threshold, regardless of performance. This inflates fail rates without reflecting content difficulty.

Understanding why a module has a high fail rate -- not just that it does -- helps you assess the actual risk to you.

The fail rate you should care about most

The fail rate most worth paying attention to is not the single-year number. It is the multi-year trend.

A module with a consistent 8-10% fail rate over five years is revealing something structural about that module: its content, its assessment design, or its marking calibration. That is unlikely to change before you sit it.

A module that spiked to 15% in one year and has otherwise run at 3-4% might reflect a one-off anomaly. Taking that module the following year is a different risk calculation.

Both are worth knowing before you commit.

FAQ

Can I find out the fail rate for a specific module at my university?

Not from published university data. Most universities do not voluntarily publish module-level grade distributions. The most reliable route is an FOI request to your university. GradeHack aggregates FOI responses so you can access this data without filing requests yourself. See the data for your modules.

Does failing a module affect your degree classification?

Yes. At most UK universities, failed modules must be passed via resit or repeat to satisfy progression requirements. If a fail mark is carried forward into your degree average, it will drag down your classification. The rules vary significantly by institution and degree programme -- always check your specific regulations.

What is a typical module fail rate at UK universities?

There is no universal benchmark. Across the FOI data GradeHack has compiled, most modules run fail rates below 5%. Modules above 10% are a minority and tend to cluster in specific subject types: quantitative methods modules, Year 2 transition points, and first assessment-heavy modules. Rates above 15% are unusual outside specific contexts.

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This data is not flattering for some departments. That is exactly why it does not get published voluntarily.

Access GradeHack's module-level FOI data before you finalise your choices -- including the fail rate context that most students never see.