Transparency Return
Discover Norland
Our annual transparency data return to the Office for Students
Norland is required to make an annual transparency data return to the Office for Students, the independent regulator of higher education in England.
The information published on these pages shows:
- The number of applications for admission on to recognised, undergraduate higher education courses that we have received from UK domiciled applicants
- The number of offers we have made in relation to those applications
- The number of those offers accepted and the number of those who have registered with us
- The number of students who registered and went on to complete their course with us
- 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 also shows these numbers by reference to:
- The gender of the individuals to which they relate
- Their ethnicity
- Their socioeconomic background
It is important to note that the data presented has not been contextualised. This means, for example, that you will not be able to see from this data how many of those applying to courses met the entry criteria. It is also the case that universities and colleges will often receive many more applications than they have spaces on courses, and so offer rates will necessarily be lower than application rates in those circumstances.
With regard to information that is split by the three characteristics of gender, ethnicity and socioeconomic background you will see that some figures may be highlighted. This is because those differences between groups of students with particular characteristics are notable.
Please note that we receive and welcome applications and students from a diverse range of backgrounds. However, as a small institution with an annual intake of only 100 first-year students, the numbers of applications and registrations from each group were fewer than the 25 required for this data return. Hence the return was indicated as ‘N’.
Table 1a: Percentage of classified first degrees at grade 2:1 or above by characteristic for 2023-24 qualifiers
| Characteristic | Characteristic split | Percentage |
|---|---|---|
| Ethnicity | Asian | [none] |
| Black | [one] | |
| Mixed | [low] | |
| Other | [none] | |
| White | 67.9% | |
| English IMD 2025 quintile | 1 | [none] |
| 2 | [low] | |
| 3 | [low[ | |
| 4 | 70.8% | |
| 5 | 75.9% | |
| Sex | Female | 66.7% |
| Male | [none] |
The data has been rounded as follows:
- Denominators or headcounts have been rounded to the nearest 10.
- Percentages have 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 (2 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%.
- [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.
Table 1b: Detailed information on attainment for 2023-24 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 | [none] | [none] | [none] | [none] | [none] | [none] | [none] |
| Black | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Mixed | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| Other | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| White | 80 | 24.4% | 43.6% | 26.9% | 5.1% | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| EIMD 2025 quintile | 1 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | |
| 2 | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| 3 | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| 4 | 20 | 16.7% | 54.2% | 29.2% | [DPL] | [none] | [none] | ||
| 5 | 30 | 37.9% | 37.9% | 13.8% | 10.3% | [none] | [none] | ||
| N/A | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Sex | Female | 80 | 25.0% | 41.7% | 27.4% | 6.0% | [none] | [none] | |
| Male | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Other | [none] | [none] | [none] | [none] | [none] | [none] | [none] |
The data has been rounded as follows:
- Denominators or headcounts have been rounded to the nearest 10.
- Percentages have 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 (2 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%.
- [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.
Table 1a: Percentage of classified first degrees at grade 2:1 or above by characteristic for 2024-25 qualifiers
| Characteristic | Characteristic split | Percentage |
|---|---|---|
| Ethnicity | Asian | [none] |
| Black | [none] | |
| Mixed | [low] | |
| Other | [none] | |
| White | 67.9% | |
| English IMD 2025 quintile | 1 | [none] |
| 2 | [low] | |
| 3 | [low] | |
| 4 | 70.8% | |
| 5 | 75.9% | |
| Sex | Female | 66.7% |
| Male | [none] |
The data has been rounded as follows:
- Denominators or headcounts have been rounded to the nearest 10.
- Percentages have 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 (2 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%.
- [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.
Table 1b: Detailed information on attainment for 2024-25 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 | [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 | 80 | 21.4% | 36.9% | 35.7% | 6.0% | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| EIMD 2025 quintile | 1 | [none] | [none] | [none] | [none] | [none] | [none] | [none] | |
| 2 | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| 3 | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| 4 | 30 | 23.1% | 42.3% | 30.8% | [DPL] | [none] | [none] | ||
| 5 | 30 | 27.3% | 30.3% | 36.4% | [DPL] | [none] | [none] | ||
| N/A | [low] | [low] | [low] | [low] | [low] | [none] | [none] | ||
| Unknown | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Sex | Female | 90 | 20.5% | 36.4% | 37.5% | 5.7% | [none] | [none] | |
| Male | [none] | [none] | [none] | [none] | [none] | [none] | [none] | ||
| Other | [none] | [none] | [none] | [none] | [none] | [none] | [none] |
The data has been rounded as follows:
- Denominators or headcounts have been rounded to the nearest 10.
- Percentages have 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 (2 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%.
- [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.
