Jump directly to main content Jump directly to menu

Transparency 2026 Information

The information published on this page 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

The information can be viewed on this page.

Table 1a: Percentage of classified first degrees at grade 2:1 or above by characteristic for 2023-24 and 2024-25 qualifiers.

 

Year of qualifying Characteristics Characteristic split Percentage
2023-24 Ethnicity Asian [low]
Black [low]
Mixed [low]
Other [none]
White 71.2%
English IMD 2025 quintile 1 66.0%
2 66.7%
3 75.4%
4 77.3%
5 75.0%
Sex Female 74.5%
Male 59.8%
2024-25 Ethnicity Asian [low]
Black [low]
Mixed [low]
Other [none]
White 68.3%
English IMD 2025 quintile 1 59.3%
2 73.3%
3 71.2%
4 69.6%
5 65.6%
Sex Female 69.4%
Male 60.5%

Detailed information on attainment for 2023-24 and 2024-25 qualifiers

 

Academic year of qualifying 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
2023-24 Full-time Ethnicity Asian [low] [low] [low] [low] [low] [none] [low]
Black [low] [low] [low] [low] [low] [none] [low]
Mixed [low] [low] [low] [low] [low] [none] [none]
Other [none] [none] [none] [none] [none] [none] [none]
White 240 26.7 45.3 21.8 6.2 30 210
Unknown [none] [none] [none] [none] [none] [none] [none]
EIMD 2025 quintile 1 90 25.8 39.3 25.8 9.0 [low] 90
2 50 21.3 42.6 34.0 [DPL] [low] 50
3 50 31.3 47.9 12.5 8.3 [low] 40
4 50 24.1 59.3 13.0 [DPL] [low] 30
5 [low] [low] [low] [low] [low] [low] [low]
N/A [none] [none] [none] [none] [none] [none] [none]
Unknown [none] [none] [none] [none] [none] [none] [none]
Sex Female 190 29.0 47.2 20.2 3.6 20 160
Male 60 16.4 39.3 27.9 16.4 [low] 60
Unknown [none] [none] [none] [none] [none] [none] [none]
Part-time Ethnicity Asian [none] [none] [none] [none] [none] [none] [low]
Black [none] [none] [none] [none] [none] [none] [none]
Mixed [none] [none] [none] [none] [none] [none] [low]
Other [none] [none] [none] [none] [none] [none] [none]
White 60 25.0 36.7 28.3 10.0 [low] 160
Unknown [none] [none] [none] [none] [none] [none] [none]
EIMD 2025 quintile 1 [low] [low] [low] [low] [low] [none] 40
2 [low] [low] [low] [low] [low] [none] 30
3 [low] [low] [low] [low] [low] [none] 30
4 [low] [low] [low] [low] [low] [none] 30
5 [low] [low] [low] [low] [low] [none] 30
N/A [low] [low] [low] [low] [low] [none] [none]
Unknown [none] [none] [none] [none] [none] [none] [none]
Sex Female 50 28.8 36.5 26.9 7.7 [low] 80
Male [low] [low] [low] [low] [low] [none] 90
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 [low] [low] [low] [low] [low] [none] 40
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] [low]
3 [low] [low] [low] [low] [low] [none] [low]
4 [low] [low] [low] [low] [low] [none] [low]
5 [low] [low] [low] [low] [low] [none] [low]
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] [low]
Male [low] [low] [low] [low] [low] [none] 30
Unknown [none] [none] [none] [none] [none] [none] [none]
2024-25 Full-time Ethnicity Asian [low] [low] [low] [low] [low] [none] [low]
Black [low] [low] [low] [low] [low] [none] [low]
Mixed [low] [low] [low] [low] [low] [none] [low]
Other [none] [none] [none] [none] [none] [none] [none]
White 260 29.3 37.5 25.0 8.2 [low] 160
Unknown [none] [none] [none] [none] [none] [none] [none]
EIMD 2025 quintile 1 100 25.5 34.3 30.4 9.8 [low] 70
2 70 29.2 43.1 18.5 9.2 [low] 40
3 50 35.4 31.3 29.2 [DPL] [none] 30
4 40 25.0 45.5 18.2 11.4 [none] 30
5 [low] [low] [low] [low] [low] [low] [low]
N/A [none] [none] [none] [none] [none] [none] [none]
Unknown [none] [none] [none] [none] [none] [none] [none]
Sex Female 210 29.5 38.1 23.8 8.6 [low] 120
Male 70 24.6 34.8 30.4 10.1 [none] 60
Unknown [none] [none] [none] [none] [none] [none] [none]
Part-time Ethnicity Asian [none] [none] [none] [none] [none] [none] [low]
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 50 39.1 37.0 21.7 [DPL] [none] 140
Unknown [none] [none] [none] [none] [none] [none] [none]
EIMD 2025 quintile 1 [low] [low] [low] [low] [low] [none] 30
2 [low] [low] [low] [low] [low] [none] 30
3 [low] [low] [low] [low] [low] [none] 30
4 [none] [none] [none] [none] [none] [none] 40
5 [low] [low] [low] [low] [low] [none] 20
N/A [low] [low] [low] [low] [low] [none] [none]
Unknown [none] [none] [none] [none] [none] [none] [none]
Sex Female 40 34.9 39.5 23.3 [DPL] [none] 80
Male [low] [low] [low] [low] [low] [none] 60
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 [low] [low] [low] [low] [low] [low] [low]
Unknown [none] [none] [none] [none] [none] [none] [none]
EIMD 2025 quintile 1 [low] [low] [low] [low] [low] [none] [low]
2 [none] [none] [none] [none] [none] [none] [none]
3 [none] [none] [none] [none] [none] [none] [low]
4 [none] [none] [none] [none] [none] [none] [low]
5 [none] [none] [none] [none] [none] [none] [low]
N/A [none] [none] [none] [none] [none] [none] [none]
Unknown [none] [none] [none] [none] [none] [none] [none]
Sex Female [low] [low] [low] [low] [low] [low] [low]
Male [low] [low] [low] [low] [low] [none] [low]
Unknown [none] [none] [none] [none] [none] [none] [none]

Rounding and suppression

The data has been rounded as follows:

  1. Denominators or headcounts have been rounded to the nearest 10.
  2. 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.