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UCL Percentile Module Marks for Statistics (23/24)

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Dear University College London,

I would like to request information on the distribution of marks (specifically: 50, 75, 90, 95 and 99 percentiles) for the 2023/2024 cohort for the following modules (or all modules if possible) of the BSc/MSc Statistics programme:

STAT0008 Statistical Inference
STAT0009 Stochastic Systems
STAT0010 Forecasting
STAT0011 Decision & Risk
STAT0013 Stochastic Methods in Finance 1
STAT0014 Medical Statistics 1
STAT0015 Medical Statistics 2
STAT0017 Selected Topics in Statistics
STAT0018 Stochastic Methods in Finance 2
STAT0019 Bayesian Methods in Health Economics

Yours faithfully,

Weisi Zhai

Finance.FOI Requests, University College London

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Finance.FOI Requests, University College London

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Dear Weisi,

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

I would like to request information on the distribution of marks
(specifically: 50, 75, 90, 95 and 99 percentiles) for the 2023/2024 cohort
for the following modules (or all modules if possible) of the BSc/MSc
Statistics programme:

STAT0008 Statistical Inference

STAT0009 Stochastic Systems

STAT0010 Forecasting

STAT0011 Decision & Risk

STAT0013 Stochastic Methods in Finance 1

STAT0014 Medical Statistics 1

STAT0015 Medical Statistics 2

STAT0017 Selected Topics in Statistics

STAT0018 Stochastic Methods in Finance 2

STAT0019 Bayesian Methods in Health Economics

Our response

Please also note the following:

• We do not hold the requested information in percentiles, and 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 the module results in deciles rather than
percentiles. The document attached shows, for academic year 2023/24,
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.

• 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
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 have any queries or concerns, please contact me using the details
provided in this letter and including the request reference number. 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].
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Alternatively, please write to:

Vice-President (Operations)
University College London
Gower Street
London
WC1E 6BT

Please note that 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’s Office (ICO) by using the
following web address: [2]www.ico.org.uk/foicomplaints or by writing to
the ICO at the following address:

Wycliffe House
Water Lane
Wilmslow
SK9 5AF
0303 123 1113
[3]https://ico.org.uk/

You should do this within two months of our final decision. Further
information on the FOIA is available on the ICO’s website:
[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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5. mailto:[email%20address]

We don't know whether the most recent response to this request contains information or not – if you are Weisi Zhai please sign in and let everyone know.