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:
Provider: Global Banking School Limited
UKPRN: 10042500
In our data you will see N/A quite regularly – this is where we have no provision in that category. Other key issues in processing these data are shown below the tables.
Characteristic |
Characteristic split | Percentage |
---|---|---|
Ethnicity |
BAME White |
N/A N/A |
EIMD 2019 quintile |
1 and 2 3 to 5 |
N/A N/A |
Sex |
Female Male Other |
N/A N/A N/A |
In our data you will see N/A quite regularly – this is where we have no provision in that category. Other key issues in processing these data are shown below the tables.
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 Black Mixed Other White Unknown |
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 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 N/A N/A N/A N/A |
170 30 N N 70 N |
|
EIMD 2019 quintile |
1 2 3 4 5 N/A Unknown |
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 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 N/A N/A N/A |
N/A N/A N/A N/A N/A N/A N/A |
130 110 50 N N N N |
|
Sex |
Female Male Other |
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 N/A N/A |
150 150 N |
Part-time |
Ethnicity |
Asian Black Mixed Other White Unknown |
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 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 N/A N/A N/A N/A |
N/A N/A N/A N/A N/A N/A |
|
EIMD 2019 quintile |
1 2 3 4 5 N/A Unknown |
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 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 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 N/A |
|
Sex |
Female Male Other |
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 N/A N/A |
N/A N/A N/A |
Apprenticeships |
Ethnicity |
Asian Black Mixed Other White Unknown |
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 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 N/A N/A N/A N/A |
N/A N/A N/A N/A N/A N/A |
|
EIMD 2019 quintile |
1 2 3 4 5 N/A Unknown |
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 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 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 N/A |
|
Sex |
Female Male Other |
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 N/A N/A |
N/A N/A N/A |
Key
The data contained in these tables has been rounded and suppressed as follows:
Numerators and denominators have been rounded to the nearest 10. Where the numerator or denominator rounds to 20 or less, the data are suppressed with an "N".
Percentages are rounded according to the smallest, unsuppressed denominator in a given mode and characteristic. If the denominator rounds to:
50 or less: percentages are rounded to 5%
1000 or less: percentages are rounded to 1%
More than 1000: percentages are rounded to 0.1% "N/A" is displayed where there is no provision or data in a given mode or level
Provider: Global Banking School Limited
UKPRN: 10042500
In our data you will see N/A quite regularly – this is where we have no provision in that category. Other key issues in processing these data are shown below the tables.
Characteristic |
Characteristic split | Percentage |
---|---|---|
Ethnicity |
BAME White |
N/A N/A |
EIMD 2019 quintile |
1 and 2 3 to 5 |
N/A N/A |
Sex |
Female Male Other |
N/A N/A N/A |
In our data you will see N/A quite regularly – this is where we have no provision in that category. Other key issues in processing these data are shown below the tables.
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 Black Mixed Other White Unknown |
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 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 N/A N/A N/A N/A |
170 30 N N 70 N |
|
EIMD 2019 quintile |
1 2 3 4 5 N/A Unknown |
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 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 N/A N/A N/A |
N/A N/A N/A N/A N/A N/A N/A |
130 110 50 N N N N |
|
Sex |
Female Male Other |
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 N/A N/A |
150 150 N |
Part-time |
Ethnicity |
Asian Black Mixed Other White Unknown |
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 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 N/A N/A N/A N/A |
N/A N/A N/A N/A N/A N/A |
|
EIMD 2019 quintile |
1 2 3 4 5 N/A Unknown |
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 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 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 N/A |
|
Sex |
Female Male Other |
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 N/A N/A |
N/A N/A N/A |
Apprenticeships |
Ethnicity |
Asian Black Mixed Other White Unknown |
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 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 N/A N/A N/A N/A |
N/A N/A N/A N/A N/A N/A |
|
EIMD 2019 quintile |
1 2 3 4 5 N/A Unknown |
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 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 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 N/A |
|
Sex |
Female Male Other |
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 N/A N/A |
N/A N/A N/A |
Key
The data contained in these tables has been rounded and suppressed as follows:
Numerators and denominators have been rounded to the nearest 10. Where the numerator or denominator rounds to 20 or less, the data are suppressed with an "N".
Percentages are rounded according to the smallest, unsuppressed denominator in a given mode and characteristic. If the denominator rounds to:
50 or less: percentages are rounded to 5%
1000 or less: percentages are rounded to 1%
More than 1000: percentages are rounded to 0.1% "N/A" is displayed where there is no provision or data in a given mode or level