F1 Transparency Table
F1 Transparency Table
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 gender of the individuals to which they relate
- Their ethnicity
- Their socioeconomic background.
Numerators and denominators have been rounded to the nearest 10. Where the numerator or denominator rounds to 24 or less, the data is suppressed with "Low".
"Low" is 23 or fewer students in this population.
If you require any further information about HE data please email liz.wyman@nscg.ac.uk
| Mode of Study | Characteristic | Characteristic split | Headcount of classified First Degrees awarded | % of classified First Degrees awarded as first class | % of classified First Degrees awarded as upper second class | % of classified First Degrees awarded as third class / pass | Headcount of unclassified First Degrees awarded | Headcount of other undergraduate awards |
|---|---|---|---|---|---|---|---|---|
| Full-time | Ethnicity | Asian | N/A | N/A | N/A | N/A | N/A | LOW |
| Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Mixed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Other | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| White | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 110 |
| Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| EIMD 2025 quintile | 1 | N/A | N/A | N/A | N/A | N/A | N/A | 30 |
| 2 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LOW |
| 3 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LOW |
| 4 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 20 |
| 5 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LOW |
| N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Gender | Female | N/A | N/A | N/A | N/A | N/A | N/A | 50 |
| Male | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 60 |
| Other | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Part-time | Ethnicity | Asian | N/A | N/A | N/A | N/A | N/A | N/A |
| Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Mixed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Other | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| White | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 50 |
| Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| EIMD 2025 quintile | 1 | N/A | N/A | N/A | N/A | N/A | N/A | LOW |
| 2 | N/A | N/A | N/A | N/A | N/A | N/A | LOW | |
| 3 | N/A | N/A | N/A | N/A | N/A | N/A | LOW | |
| 4 | N/A | N/A | N/A | N/A | N/A | N/A | LOW | |
| 5 | N/A | N/A | N/A | N/A | N/A | N/A | LOW | |
| N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Gender | Female | N/A | N/A | N/A | N/A | N/A | N/A | LOW |
| Male | N/A | N/A | N/A | N/A | N/A | N/A | N/A | 40 |
| Apprenticeships | Ethnicity | Asian | N/A | N/A | N/A | N/A | N/A | N/A |
| Black | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Mixed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Other | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| White | N/A | N/A | N/A | N/A | N/A | N/A | N/A | LOW |
| Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| EIMD 2025quintile | 1 | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| 2 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | |
| 3 | N/A | N/A | N/A | N/A | N/A | N/A | LOW | |
| 4 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | |
| 5 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | |
| N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Gender | Female | N/A | N/A | N/A | N/A | N/A | N/A | LOW |
| Male | N/A | N/A | N/A | N/A | N/A | N/A | LOW | |
| Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N/A |