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Transparency 2022 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 gender of the individuals to which they relate
  • Their ethnicity
  • Their socioeconomic background

Provider: Global Banking School Limited

UKPRN: 10042500

Table 1a: Percentage of classified first degrees at grade 2:1 or above by characteristic for 2020-21 qualifiers.

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

Table 1b: Detailed information on attainment for 2020-21 qualifiers.

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

Table 1a: Percentage of classified first degrees at grade 2:1 or above by characteristic for 2020-21 qualifiers.

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

Table 1b: Detailed information on attainment for 2020-21 qualifiers.

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