Dear University College London,

Could you please provide the average marks as well as percentage breakdowns by 10 point deciles of students taking the following modules received in the last academic years (2024/23, 2023/22, 2022/21 and 2021/2020).

STAT0002
STAT0003
STAT0004
STAT0040
MATH0045
GEOG0008
INST0001
MATH0046

Yours faithfully,
Kang Ji

Finance.FOI Requests, University College London

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Finance.FOI Requests, University College London

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Dear Kang,

Thank you for your request for information made under the Freedom of
Information Act (FOIA) 2000.

We confirm that we do hold information of the description specified in
your request; please see our response below and attached.

Your request

Could you please provide the average marks as well as percentage
breakdowns by 10 point deciles of students taking the following modules
received in the last academic years (2024/23, 2023/22, 2022/21 and
2021/2020).

STAT0002

STAT0003

STAT0004

STAT0040

MATH0045

GEOG0008

INST0001

MATH0046

Our response

Please see our response attached. Please also note the following:

• We are unable to provide you with individualised bespoke data because
this would constitute us creating new data. However, we have a
standard set of data which shows, for the academic years 2024/23,
2023/22, 2022/21 and 2021/2020, the mean mark and the number of
students whose marks were within each respective decile for the
modules listed. The figure under each decile is the number of students
who achieved a score in that range that year.

• Marks for the 2023/24 academic year are preliminary, because the
results of Late Summer Assessments are not known yet.

• If a module does not appear for one of the years, this means that
nobody took the module that year.

• Exact numbers of students totalling 5 or fewer have been withheld.
This is because to provide the exact numbers may inadvertently lead to
the identification of these individuals. Whilst there are no
personally identifiable details within the data being withheld, that
data, when combined with other data that may already be available in
the public domain, could be used by ‘motivated intruders’ and other
knowledgeable third parties to identify the individuals concerned.
Linking together separate strands of data available in this way can
indirectly lead to an individual being identified which would breach
the first data protection principle. Further, these individuals would
have no expectation that their identities, by virtue of disclosing
this type of information, would be made known to the wider public and
it would be considered unfair to do so.

As this data would be likely to become personal data, this information is
exempt from disclosure and has been withheld under section 40(2) of the
FOIA by virtue of s40(3A)(a). 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. It is for these reasons that this information is exempt under
section 40(2) of the Act. As the section 40(2) exemption is absolute,
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
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Vice-President (Operations)
University College London
Gower Street
London
WC1E 6BT

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Wycliffe House
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[3]https://ico.org.uk/

You should do this within two months of our final decision. Further
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[4]https://ico.org.uk/for-the-public/offici....

Kind regards,

Gladys Mandangu

Data Protection and Freedom of Information Administrator

Data Protection Office

Office of the General Counsel

University College London

Tel: 020 80168488 (ext. 68488)

Email: [5][email address]

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References

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