Transparency Returns
The information published on these pages shows:
The number of students who attained a particular degree or other academic award, or a particular level of such an award, on completion of their course with us.
It shows these numbers by reference to:
- The sex of the individuals to which they relate
- Their ethnicity
- Their socioeconomic background
This page contains data tables relating to the attainment of 2023-24 and 2024-25 qualifiers.
Table 1a Attainment 2023-25: These tables present the percentage of classified first degrees at grade 2:1 or above by characteristics for 2023-24 and 2024-25 qualifiers.
| Year of qualifying |
Characteristics |
Characteristic split | Percentage |
|---|---|---|---|
| 2023-24 | Ethnicity | Asian | 72% |
| Black | [low] | ||
| Mixed | 64.7% | ||
| Other | [none] | ||
| White | 75.7% | ||
| 2023-24 | English IMD 2025 quintile | 1 | 66.7% |
| 2 | 73.5% | ||
| 3 | 74.4% | ||
| 4 | 71.9% | ||
| 5 | 77.2% | ||
| 2023-24 | Sex | Female | 76.3% |
| Male | 69% |
| Year of qualifying |
Characteristics |
Characteristic split | Percentage |
|---|---|---|---|
| 2024-25 | Ethnicity | Asian | 75% |
| Black | 52.5% | ||
| Mixed | 69.5% | ||
| Other | [low] | ||
| White | 78.5% | ||
| 2024-25 | English IMD 2025 quintile | 1 | 68.2% |
| 2 | 80.4% | ||
| 3 | 75.8% | ||
| 4 | 78% | ||
| 5 | 79% | ||
| 2024-25 | Sex | Female | 79.4% |
| Male | 74.5% |
Table 1b Attainment 2023-25: These tables present detailed information on attainment by characteristics for 2023-24 and 2024-25 qualifiers.
Academic year of qualifying: 2023-24
| Mode of Study | Characteristic | Characteristic split | Headcount of classified First Degrees awarded |
Percentage of classified First Degrees awarded as first class |
Percentage of classified First Degrees awarded as upper second class |
Percentage of classified First Degrees awarded as lower second class |
Percentage of classified First Degrees awarded as third class / pass |
Headcount of unclassified First Degrees awarded | Headcount of other undergraduate awards |
|---|---|---|---|---|---|---|---|---|---|
| Full time | Ethnicity |
Asian |
30 | 24% | 48% | 24% | [DPL] | [none] | [none] |
| Black | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| Mixed | 70 | 28.4% | 35.8% | 29.9% | 6% | [none] | [low] | ||
| Other | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| White | 1460 | 30% | 45.9% | 21% | 3.1% | [low] | 80 | ||
| Unknown | 80 | 14.8% | 34.6% | 42% | 8.6% | [low] | 20 | ||
| EIMD 2025 quintile |
1 | 120 | 23.1% | 43.8% | 25.6% | 7.4% | [low] | [low] | |
| 2 | 260 | 26.3% | 47.3% | 23.7% | 2.7% | [low[ | 30 | ||
| 3 | 370 | 26.6% | 47.8% | 21.5% | 4.1% | [low] | 30 | ||
| 4 | 410 | 32.4% | 39.7% | 25.3% | 2.7% | [none] | [low] | ||
| 5 | 420 | 29.7% | 47.4% | 19.3% | 3.5% | [none] | [low] | ||
| N/A | 70 | 33.8% | 43.1% | 21.5% | [DPL] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Sex | Female | 960 | 33.5% | 42.9% | 21.4% | 2.2% | [low] | 50 | |
| Male | 640 | 22.2% | 47% | 25.2% | 5.6% | [low] | 60 | ||
| Unknown | 50 | 23.5% | 62.7% | 11.8% | [DPL] | [none] | [low] | ||
| Part time | Ethnicity |
Asian |
[none] | [none] | [none] | [none] | [none] | [none] | [none] |
| Black | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Mixed | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Other | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| White | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| EIMD 2025 quintile |
1 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | |
| 2 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| 3 | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| 4 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| 5 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| N/A | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Sex | Female | [low] | [low] | [low] | [low] | [low] | [none] | [none] | |
| Male | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Apprenticeships | Ethnicity |
Asian |
[none] | [none] | [none] | [none] | [none] | [none] | [none] |
| Black | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Mixed | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Other | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| White | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| EIMD 2025 quintile |
1 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | |
| 2 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| 3 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| 4 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| 5 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| N/A | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Sex | Female | [none] | [none] | [none] | [none] | [none] | [none] | [none] | |
| Male | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] |
Academic year of qualifying: 2024-25
| Mode of Study | Characteristic | Characteristic split | Headcount of classified First Degrees awarded |
Percentage of classified First Degrees awarded as first class |
Percentage of classified First Degrees awarded as upper second class |
Percentage of classified First Degrees awarded as lower second class |
Percentage of classified First Degrees awarded as third class / pass |
Headcount of unclassified First Degrees awarded | Headcount of other undergraduate awards |
|---|---|---|---|---|---|---|---|---|---|
| Full time | Ethnicity |
Asian |
20 | 33.3% | 41.7% | 25% | [DPL] | [none] | [none] |
| Black | 40 | 15.8% | 36.8% | 47.4% | [DPL] | [none] | [none] | ||
| Mixed | 80 | 19.8% | 49.4% | 25.9% | 4.9% | [low] | [low] | ||
| Other | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| White | 1550 | 29.6% | 48.6% | 18.9% | 2.9% | [low] | 100 | ||
| Unknown | 40 | 10.3% | 59% | 30.8% | [DPL] | [low] | 70 | ||
| EIMD 2025 quintile |
1 | 150 | 19.6% | 48.6% | 26.4% | 5.4% | [low] | 30 | |
| 2 | 280 | 29% | 51.4% | 17.4% | 2.2% | [low[ | 40 | ||
| 3 | 410 | 25.5% | 50.2% | 21.1% | 3.2% | [low] | 40 | ||
| 4 | 430 | 30.6% | 47.1% | 19.1% | 3.3% | [low] | 40 | ||
| 5 | 410 | 32.3% | 46.5% | 20.3% | 1% | [low] | 30 | ||
| N/A | 80 | 26.7% | 50.7% | 17.3% | 5.3% | [none] | [low] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Sex | Female | 970 | 29.7% | 49.4% | 19.3% | 1.6% | [low] | 70 | |
| Male | 730 | 27.5% | 46.8% | 21.1% | 4.5% | [low] | 100 | ||
| Unknown | 50 | 15.6% | 62.2% | 20% | [DPL] | [none] | [low] | ||
| Part time | Ethnicity |
Asian |
[none] | [none] | [none] | [none] | [none] | [none] | [none] |
| Black | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Mixed | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Other | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| White | 30 | 37.9% | 55.2% | [DPL] | [DPL] | [none] | [low] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| EIMD 2025 quintile |
1 | [low] | [low] | [low] | [low] | [low] | [none] | [low] | |
| 2 | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| 3 | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| 4 | [low] | [low] | [low] | [low] | [low] | [none] | [low] | ||
| 5 | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| N/A | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Sex | Female | [low] | [low] | [low] | [low] | [low] | [none] | [low] | |
| Male | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Apprenticeships | Ethnicity |
Asian |
[none] | [none] | [none] | [none] | [none] | [none] | [none] |
| Black | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Mixed | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Other | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| White | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| EIMD 2025 quintile |
1 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | |
| 2 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| 3 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| 4 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| 5 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| N/A | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Sex | Female | [none] | [none] | [none] | [none] | [none] | [none] | [none] | |
| Male | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] |
Rounding and suppression
The data has been rounded as follows:
a. Denominators or headcounts have been rounded to the nearest 10.
b. Percentages been rounded to the nearest 0.1.
Any data point that is not reportable will be replaced with a symbol to indicate why, applied according to the following hierarchical order:
- [none]: where there are no students in the population (or two or fewer).
- [low]: Low numbers of students, where there are more than two but fewer than 23 students in the denominator.
- [DPL]: Data protection for low numerators, where data has been suppressed for data protection reasons. The code [DPL] has been used to indicate where the data has been suppressed due to a numerator or headcount that is less than or equal to two, meaning that the percentage will take on a value close to 0 per cent.
- [DPH]: Data protection for high numerators, where data has been suppressed for data protection reasons. For the percentages, the code [DPH] has been used to indicate where data has been suppressed due to a numerator that is greater than two but is within two of the denominator.