Admissions Statistics for BA English (Q300) - UCL

Bradley Stewart made this Freedom of Information request to University College London

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Dear University College London,

Could you please provide me with information regarding BA English (Q300) applicants for 2019 entry or deferred entry in 2020 for the following:

1) How many applications were there for Q300 English?
2) The predicted A Level grades of each applicant
3) The number of applicants who had a GCSE Mathematics Grade Under 5.
4) The percentage of applicants made an offer that had a GCSE Mathematics Grade under 5.
5) What was the number of places available?
6) How many offers were made?

Please could you provide this information in an Excel spreadsheet.

Yours faithfully,

Bradley Stewart

Finance.FOI Requests, University College London

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Bradley Stewart

Dear University College London,

Has there been an update to this delayed request?

Yours faithfully,

Bradley Stewart

Finance.FOI Requests, University College London

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Finance.FOI Requests, University College London

1 Attachment

Dear Bradley

 

Thank you for your Freedom of Information request of 29^th March 2020. 
Apologies for the delay in responding to your request.

 

We have completed the compilation of information in response to your
request for the following information on admission statistics for UCL’s BA
English (Q300) programme applicants for 2019 entry or deferred entry in
2020.

 

1)    How many applications were there for Q300 English?

2)    The predicted A Level grades of each applicant

3)    The number of applicants who had a GCSE Mathematics Grade Under 5.

4)    The percentage of applicants made an offer that had a GCSE
Mathematics Grade under 5.

5)    What was the number of places available?

6)    How many offers were made?

 

We can confirm that we do hold some information of the description
specified in your request and this information is provided in the attached
excel spreadsheet as requested.

 

Please note: With regards to question 2 above, our understanding is that
you are expecting a list of predicted grades for each student, however, if
presented in this way, this is likely to be the personal data of the
applicant, and potentially exempt from disclosure.  Therefore,  you will
see in the attached spreadsheet that we have provided the predicted grades
alongside each subject so that you have an idea of the predicted grades
that those applicants had, without revealing any information relevant to a
particular individual. 

 

In addition, you will also see in the attached spreadsheet that
percentages totalling less than five have been withheld because these are
personal data of third parties or, if linked with other personal
identifiers in the public domain, would be likely to become personal
data.  This information has been withheld under Section 40(2) of the FOIA
by virtue of Section 40(3)(a)(i).

 

Section 40(2) of the FOIA allows a public authority to withhold
information under the FOIA where (i) the requested information is personal
data relating to someone other than the requester and (ii) its disclosure
would breach any of the Data Protection principles.  In this case, we
believe that the requested information could relate to and identify
individuals and therefore would be personal data.  The disclosure of these
personal data would not be within the reasonable expectations of the
individuals concerned and it would be unfair to do so; this therefore
breaches the first Data Protection principle.

 

As the Section 40(2) exemption is an absolute one there is no need to
conduct a public interest test.

 

You are free to use any information supplied for your own use, including
for non-commercial research purposes. The information may also be used for
the purposes of news reporting. However, any other type of re-use, for
example by publishing or issuing copies to the public, will require the
permission of the copyright owner.

 

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Chief Operating Officer

University College London

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[2]www.ico.org.uk

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Kind regards

Janine

 

Janine Small

Data Protection and Freedom of Information Adviser

University College London

Legal Services

Data Protection: [4][email address] FOI: [5][UCL request email]

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