If you have submitted a Freedom of Information request please accept this
email as acknowledgement that your request has been received. You should
expect a response from us within 20 working days. 

For details on how we use your personal information, please see UCL's
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Data Protection Office
Office of General Counsel 

References

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Dear Pranay,

 

Thank you for your Freedom of Information request of 7 July 2023. 

 

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

 

I would like to request the 5th percentile, 25th percentile, 50th
percentile, 75th percentile, 95th percentile and the average mark (mean)
for 2022/2023 for the following modules:

 

MATH0022 Galois Theory

MATH0023 Algebraic Topology

MATH0024 Geophysical Fluid Dynamics

MATH0025 Mathematics for General Relativity

MATH0026 Biomathematics

MATH0027 Mathematical Methods 5

MATH0028 Combinatorial Optimisation

MATH0029 Graph Theory and Combinatorics

MATH0030 Mathematical Ecology

MATH0031 Financial Mathematics

MATH0032 Introduction to Mathematica

MATH0033 Numerical Methods

MATH0035 Algebraic Number Theory

MATH0036 Elliptic Curves

MATH0037 Logic

MATH0038 History of Mathematics

MATH0054 Analytical Dynamics

MATH0055 Mathematics of Electromagnetism and Special Relativity

MATH0056 Mathematical Methods 4

MATH0061 Further Topics in Algebraic Number Theory

MATH0065 Advanced Modelling Mathematical Techniques

MATH0069 Probability

MATH0070 Linear Partial Differential Equations

MATH0071 Spectral Theory

MATH0072 Riemannian Geometry

MATH0073 Representation Theory

MATH0074 Topology and Groups

MATH0075 Lie Groups and Lie Algebras

MATH0076 Algebraic Geometry

MATH0077 Real Fluids

MATH0078 Asymptotic Approximation Methods

MATH0079 Cosmology

MATH0080 Waves and Wave Scattering

MATH0082 Evolutionary Games and Population Genetics

MATH0083 Prime Numbers and their Distribution

MATH0084 Project in Mathematics

MATH0085 Asset Pricing in Continuous Time

MATH0086 Computational and Simulation Methods

MATH0088 Quantitative and Computational Finance

MATH0090 Elliptic Partial Differential Equations

MATH0092 Variational Methods for Partial Differential Equations

MATH0102 Applied Stochastic Methods

ECON0027 Game Theory

STAT0018 Stochastic Methods in Finance II

INST0002 Programming 1

INST0060 Foundations of Machine Learning

LCSP0002 Spanish Level 1

LCSP0010 Spanish Levels 2+3

MSIN0004 Accounting for Business

 

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

 

Whilst UCL is committed to openness and transparency, we are also mindful
of our obligations under the Data Protection regime. We adopt the
following approach when releasing statistics that relate to people, to
prevent unauthorised disclosure of information that relates to
individuals:

 

•               Percentages that are based on a group of 22 individuals or
less are not provided, and this includes requests for percentile
information about marks.

•               Averages based on 7 or fewer individuals are not provided.

 

We have identified that there is a risk of the identification of
underlying individuals in the information that you have requested. 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 the
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.

 

If you are unhappy with our response to your request and wish to make a
complaint or request a review of our decision, please email
[1][email address]. Emails should include the words ‘Internal
Review’ in the subject and be marked For the Attention of the
Vice-President (Operations), alternatively you should write to:

 

Vice-President (Operations)

University College London

Gower Street

London

WC1E 6BT

 

Please note, complaints and requests for internal review received more
than two months after the initial decision will not be handled.

 

If you are not content with the outcome of the internal review, you may
apply directly to the Information Commissioner at the address given below.
You should do this within two months of our final decision.

 

If you have any queries or concerns, please contact me using the details
provided in this letter and including the request reference number.

 

Further information on the Freedom of Information Act is available from
the Information Commissioner’s Office:

 

Wycliffe House

Water Lane

Wilmslow

SK9 5AF

 

01625 545700

[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]

 

References

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