Grade statistics for Machine Learning 2022/2023

Jalil made this Freedom of Information request to University College London Automatic anti-spam measures are in place for this older request. Please let us know if a further response is expected or if you are having trouble responding.

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Dear University College London,

I am seeking information on the grade distribution, specifically the 5th, 25th, 50th, 75th, 90th, 95th, and 99th percentiles, along with the total number of students enrolled in the following Postgraduate Taught (PGT) courses for the 2022/2023 academic year:

MSc in Machine Learning
MSc in Computational Statistics and Machine Learning
MSc in Data Science and Machine Learning
This request includes details on the final overall course grades.

Furthermore, I request similar distribution data for the research projects in these courses, focusing on the same percentiles, but for the 2022/2023 cohort. The specific modules of interest are:

COMP0091 MSc Machine Learning Project
COMP0098 MSc Computational Statistics and Machine Learning Project
COMP0158 MSc Data Science and Machine Learning Project

Yours faithfully,
Jalil Liu

Finance.FOI Requests, University College London

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Finance.FOI Requests, University College London

1 Attachment

Dear Jalil Liu,

 

Thank you for your Freedom of Information request of 8 January 2024.

 

We have completed the compilation of information in response to your
request which read:

 

I am seeking information on the grade distribution, specifically the 5th,
25th, 50th, 75th, 90th, 95th, and 99th percentiles, along with the total
number of students enrolled in the following Postgraduate Taught (PGT)
courses for the 2022/2023 academic year:

 

MSc in Machine Learning

MSc in Computational Statistics and Machine Learning MSc in Data Science
and Machine Learning This request includes details on the final overall
course grades.

 

Furthermore, I request similar distribution data for the research projects
in these courses, focusing on the same percentiles, but for the 2022/2023
cohort. The specific modules of interest are:

 

COMP0091 MSc Machine Learning Project

COMP0098 MSc Computational Statistics and Machine Learning Project

COMP0158 MSc Data Science and Machine Learning Project

 

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

 

As you will see within the attached spreadsheet, where percentages are
based on a group of 22 individuals or fewer, and this includes requests
for percentile information about marks, the information has been withheld
because, with such low numbers, even providing this information without
names it is possible that the underlying individuals could be identified,
which means that this is 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(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. 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.

 

Please note that not all enrolled students took the exam. This means that
in row 3, where the number of enrolled students is 23, we have withheld
the percentiles because the number of students that sat the exam was 22 or
fewer.

 

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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Vice-President (Operations)

University College London

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[2]www.ico.org.uk

[3][email address]

 

Kind regards,

 

Josh Keyte

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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