UCL MSc Statistics: Results percentiles
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 2020/2021 cohort for the following modules (which are part of the MSc Statistics programme):
STAT0028 Statistical Models & Data Analysis
STAT0029 Statistical Design of Investigations
STAT0030 Statistical Computing
STAT0031 Applied Bayesian Methods
STAT0008 Statistical Inference
STAT0009 Stochastic Systems
STAT0010 Forecasting
STAT0011 Decision & Risk
STAT0013 Stochastic Methods in Finance
STAT0014 Medical Statistics
STAT0015 Medical Statistics
STAT0017 Selected Topics in Statistics
STAT0018 Stochastic Methods in Finance
STAT0019 Bayesian Methods in Health Economics
STAT0020 Quantitative Modelling of Operational Risk & Insurance
Analytics
STAT00349 Research Project
Yours faithfully,
Hugh Dance
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.
Note: UCL's Christmas closure will run from Thursday 23 December 2021 -
Monday, 3 January 2022.
“You will appreciate that all information requests place some degree of
demand on a public authority’s resources in terms of costs and staff time
and that UCL may need to prioritise resources to other areas, or adapt its
usual approach to information compliance work, in order to meet the
unprecedented challenges we are all facing during the Coronavirus
(COVID-19) pandemic.
Therefore, we need to advise you may experience delays in receiving
responses to information rights requests during the Coronavirus (COVID-19)
pandemic.”
For details on how we use your personal information, please see UCL's
general privacy
notice: [1]www.ucl.ac.uk/legal-services/privacy/general-privacy-notice
Data Protection & FOI
Legal Services
UCL
References
Visible links
1. https://www.ucl.ac.uk/legal-services/pri...
Dear Hugh,
Thank you for your Freedom of Information request of 24^th December 2021.
We have completed the compilation of information in response to your
request which read as follows:
I would like to request information on the distribution of marks
(specifically: 50, 75, 90, 95 and 99 percentiles) for the 2020/2021 cohort
for the following modules (which are part of the MSc Statistics
programme):
STAT0028 Statistical Models & Data Analysis
STAT0029 Statistical Design of Investigations
STAT0030 Statistical Computing
STAT0031 Applied Bayesian Methods
STAT0008 Statistical Inference
STAT0009 Stochastic Systems
STAT0010 Forecasting
STAT0011 Decision & Risk
STAT0013 Stochastic Methods in Finance
STAT0014 Medical Statistics
STAT0015 Medical Statistics
STAT0017 Selected Topics in Statistics
STAT0018 Stochastic Methods in Finance
STAT0019 Bayesian Methods in Health Economics
STAT0020 Quantitative Modelling of Operational Risk & Insurance Analytics
STAT00349 Research Project
We can confirm that we do hold information of the description specified in
your request and this information is provided below.
OUR RESPONSE
Module 50th 75th 90th 95th 99th
code Module name percentile percentile Percentile Percentile Percentile
Statistical
Models and
STAT0028 Data Analysis 73.2 76.8 85 86.8 89.7
Statistical
Design of
STAT0029 Investigations 68.1 72.4 77.6 80.4 85.1
Statistical
STAT0030 Computing 69.7 77 82 84.3 86.6
Applied
Bayesian
STAT0031 Methods 74.6 81.9 86.6 88.5 90.5
Statistical
STAT0008 Inference 61.8 71.7 79.4 84.6 89.8
Stochastic
STAT0009 Systems 64.4 70.3 76.4 81.2 82.2
STAT0010 Forecasting 74.2 81.2 86.5 87.4 91.6
Decision and
STAT0011 Risk 74.5 77.4 81.4 84.8 87.4
Stochastic
Methods in
STAT0013 Finance 67.3 73.3 77.7 79.8 82.7
Medical
STAT0014 Statistics 1 66.8 74.9 81.4 85 88.5
Medical
STAT0015 Statistics 2 63.5 70 78.1 83.4 90.1
Selected
Topics in
STAT0017 Statistics 75.3 85 91.1 93.1 94.7
Stochastic
Methods in
STAT0018 Finance II 66.7 75.1 82.2 83.8 91.9
Bayesian
Methods in
Health
STAT0019 Economics 67.4 74.8 82 84.2 86.4
Quantitative
Modelling of
Operational
Risk and
Insurance
STAT0020 Analytics 69.3 76.4 84.6 87.4 90.1
Research
STAT0034 Project 69.3 73.6 78 80.9 85.7
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
Visible links
1. mailto:[email address]
2. http://www.ico.org.uk/
3. mailto:[email address]
4. mailto:[email address]
5. mailto:[UCL request email]
We work to defend the right to FOI for everyone
Help us protect your right to hold public authorities to account. Donate and support our work.
Donate Now