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Dear Qing

Thank you for your Freedom of Information request of 19^th August 2021.
Apologies for the delay in responding to your request.

We have completed the compilation of information in response to your
request for information about the mean, median, 10^th, 25^th, 75^th and
90^th percentile scores in the 2018/19 and 2020/21 academic years for the
following modules:

o MATH0047 Advanced Linear Algebra
o ECON0004 Applied Economics
o ECON0048 Economics of Finance
o ECON0052 Environmental Economics
o STAT0005 Probability and Inference
o STAT0006 Linear Models and the Analysis of Variance
o STAT0007 Introduction to Applied Probability
o STAT0023 Computing for Practical Statistics
o STAT0024 Social Statistics
o STAT0017 Selected Topics in Statistics
o STAT0014 Medical Statistics 1
o STAT0019 Bayesian Methods in Health Economics
o STAT0020 Quantitative Modelling of Operational Risk and Insurance
Analytics
o STAT0035 Project
o STAT0036 Project

OUR RESPONSE

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

Academic Module 10th 25th 75th 90th
year code Module name Mean Median percentile percentile percentile percentile
Applied
2018 ECON0004 Economics 62 64 43 55 71 77
Advanced
Linear
2018 MATH0047 Algebra 72 74 51 64 84 89
Probability
2018 STAT0005 and Inference 61 64 41 52 70 78
Linear Models
and the
Analysis of
2018 STAT0006 Variance 61 62 44 51 72 78
Introduction
to Applied
2018 STAT0007 Probability 59 59 41 49 70 79
Medical
2018 STAT0014 Statistics 1 57 55 41 46 69 80
Selected
Topics in
2018 STAT0017 Statistics 74 74 66 69 79 82
Bayesian
Methods in
Health
2018 STAT0019 Economics 62 63 50 53 71 80
Quantitative
Modelling of
Operational
Risk and
Insurance
2018 STAT0020 Analytics 69 71 53 66 75 78
Computing for
Practical
2018 STAT0023 Statistics 65 66 51 59 74 78
Social
2018 STAT0024 Statistics 65 66 49 60 73 78
2018 STAT0035 Project 70 70 61 66 73 81
2018 STAT0036 Project withheld 74 withheld withheld withheld withheld
Applied
2020 ECON0004 Economics 63 65 48 57 70 75
Economics of
2020 ECON0048 Finance 60 60 44 51 70 74
Environmental
2020 ECON0052 Economics 69 70 63 66 74 77
Advanced
Linear
2020 MATH0047 Algebra 79 81 63 73 88 92
Probability
2020 STAT0005 and Inference 62 64 45 56 70 76
Linear Models
and the
Analysis of
2020 STAT0006 Variance 65 67 53 59 72 76
Introduction
to Applied
2020 STAT0007 Probability 65 68 42 60 76 82
Medical
2020 STAT0014 Statistics 1 65 67 45 57 75 81
Selected
Topics in
2020 STAT0017 Statistics 76 76 66 70 86 91
Bayesian
Methods in
Health
2020 STAT0019 Economics 67 68 54 62 75 82
Quantitative
Modelling of
Operational
Risk and
Insurance
2020 STAT0020 Analytics 69 69 54 62 76 85
Computing for
Practical
2020 STAT0023 Statistics 68 70 46 60 79 88
Social
2020 STAT0024 Statistics 72 74 57 67 78 83
2020 STAT0035 Project 69 71 58 65 75 78
2020 STAT0036 Project Withheld 73 withheld withheld withheld withheld

*There were no students in the ECON modules: ECON0048 Economics of Finance
and ECON0052 Environmental Economics in 2018.

Whilst UCL is committed to openness and transparency, we are also mindful
of our obligations under the Data Protection regime, and therefore take
steps to anonymise data before it is released. We therefore adopt the
following approach when releasing statistic 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 in respect of 2018 STAT0036 Project and 2020
STAT0036 Project there were fewer than 7 individuals enrolled. 
Accordingly, even providing information on an anonymised basis, there is a
risk of the identification of underlying individuals in the information
that you have requested. The information withheld is personal data of
these individuals, 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 Freedom of Information Act
2000 (FOIA) by virtue of Section 40(3A)(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
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You are free to use any information supplied for your own use, including
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Further information on the Freedom of Information Act is available from
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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]

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