Percentile Module Marks

The request was successful.

Dear University College London,

May I please request the mean and median marks as well as marks by percentile (including 75th , 90th, 95th and 99th percentiles) for the following UCL modules for the academic years 2021(-2022) and 2022(-2023):

Frontiers of History (SEHI0003)
Introduction to Microeconomics (SESS0007)
Introduction to Macroeconomics (SESS0008)
Understanding Politics I: The Big Questions in Contemporary Europe (SESS0016)
Understanding Politics II: How Politics Works (SESS0017)
History of Economic Thought (ECON0008)
Topics in Microeconomics (SESS0020)
European Macroeconomics (SESS0021)
Applied Econometrics (SESS0023)
Economic History and Ideas (SESS0024)
History of the Soviet Union (HIST0721)
Qualitative Research Methods for Economics and Business (SESS0087)
International Trade (SESS0063)
The Crisis of 1989 and the New Global Revolutions (SESS0050)
Free-standing Dissertation (SESS0053)
International Macroeconomics (SESS0068)
Linear Algebra for Data Science (MATH0101)

Thank you.

Yours faithfully,

Pika Qiu

Finance.FOI Requests, University College London

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Finance.FOI Requests, University College London

1 Attachment

Dear Pika,

 

Thank you for your Freedom of Information request of 10 September 2023.

 

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

 

May I please request the mean and median marks as well as marks by
percentile (including 75th , 90th, 95th and 99th percentiles) for the
following UCL modules for the academic years 2021(-2022) and 2022(-2023):

 

Frontiers of History (SEHI0003)

Introduction to Microeconomics (SESS0007)

Introduction to Macroeconomics (SESS0008)

Understanding Politics I: The Big Questions in Contemporary Europe
(SESS0016)

Understanding Politics II: How Politics Works (SESS0017)

History of Economic Thought (ECON0008)

Topics in Microeconomics (SESS0020)

European Macroeconomics (SESS0021)

Applied Econometrics (SESS0023)

Economic History and Ideas (SESS0024)

History of the Soviet Union (HIST0721)

Qualitative Research Methods for Economics and Business (SESS0087)

International Trade (SESS0063)

The Crisis of 1989 and the New Global Revolutions (SESS0050)

Free-standing Dissertation (SESS0053)

International Macroeconomics (SESS0068)

Linear Algebra for Data Science (MATH0101)

 

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, and therefore take
steps to anonymise data before it is released. 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.

 

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.

 

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Vice-President (Operations)

University College London

Gower Street

London

WC1E 6BT

 

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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]

 

 

 

References

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