Transparency information for Higher Education
The transparency 2022 information is provided as part of the ongoing condition F1 of the regulatory framework for higher education in England. It relates specifically to section 9 of the Higher Education and Research Act (HERA) 2017.
The information outlines the number of students who attained a particular degree or other academic award, in relation to their gender, ethnicity and socio-economic background.
The information is based on the Higher Education Statistics Agency (HESA) and Individual Learner Record (ILR) returns relating to the 2020-21 academic year.
Due to GDPR, the data has been ‘rounded and suppressed’ therefore any numerators and denominators have been rounded to the nearest 10, with any rounded to 20 or less has been supressed with an N.
Transparency 2022 information: Attainment of 2020-21 qualifiers
Provider: Telford College
UKPRN: 10006549
For details of non-numeric values in the following tables, please see the ’rounding and suppression’ worksheet.
Table 1a: Percentage of classified first degrees at grade 2:1 or above by characteristic for 2020-21 qualifiers.
Characteristic/Characteristic split/Percentage
| Ethnicity | BAME | N/A |
| Ethnicity | White | N/A |
| EIMD 2019 quintile | 1 and 2 | N/A |
| EIMD 2019 quintile | 3 to 5 | N/A |
| Sex | Female | N/A |
| Sex | Male | N/A |
| Sex | Other | N/A |
Table 1b: Detailed information on attainment for 2020-21 qualifiers
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 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | Ethnicity | Black | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | Ethnicity | Mixed | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | Ethnicity | Other | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | Ethnicity | White | N/A | N/A | N/A | N/A | N/A | N/A | 40 |
| Full-time | Ethnicity | Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | EIMD 2019 quintile | 1 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | EIMD 2019 quintile | 2 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | EIMD 2019 quintile | 3 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | EIMD 2019 quintile | 4 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | EIMD 2019 quintile | 5 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | EIMD 2019 quintile | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | EIMD 2019 quintile | Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | Sex | Female | N/A | N/A | N/A | N/A | N/A | N/A | 30 |
| Full-time | Sex | Male | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Full-time | Sex | Other | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | Ethnicity | Asian | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | Ethnicity | Black | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | Ethnicity | Mixed | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | Ethnicity | Other | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | Ethnicity | White | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | Ethnicity | Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | EIMD 2019 quintile | 1 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | EIMD 2019 quintile | 2 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | EIMD 2019 quintile | 3 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | EIMD 2019 quintile | 4 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | EIMD 2019 quintile | 5 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | EIMD 2019 quintile | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | EIMD 2019 quintile | Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | Sex | Female | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | Sex | Male | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Part-time | Sex | Other | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | Ethnicity | Asian | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | Ethnicity | Black | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | Ethnicity | Mixed | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | Ethnicity | Other | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | Ethnicity | White | N/A | N/A | N/A | N/A | N/A | N/A | 30 |
| Apprenticeships | Ethnicity | Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | EIMD 2019 quintile | 1 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | EIMD 2019 quintile | 2 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | EIMD 2019 quintile | 3 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | EIMD 2019 quintile | 4 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | EIMD 2019 quintile | 5 | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | EIMD 2019 quintile | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | EIMD 2019 quintile | Unknown | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | Sex | Female | N/A | N/A | N/A | N/A | N/A | N/A | 30 |
| Apprenticeships | Sex | Male | N/A | N/A | N/A | N/A | N/A | N/A | N |
| Apprenticeships | Sex | Other | N/A | N/A | N/A | N/A | N/A | N/A | N |
