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Module Grade Results

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Dear University College London,

May I please request the mean, median and standard deviation of marks as well as marks by percentile (including the 25th, 75th, 80th, 90th, 95th and 99th percentiles, as well as Highest mark achieved) for the following UCL modules for the academic years 2021/22, 2022/23 and 2023/24 (please respond to this request when data for the current academic year becomes available) along with the number of students taking each module for each year. Please also provide the mean mark for each module over all 3 years specified (averaged over all 3 years, exclude missing years from average should data not exist):

Research Methodologies and Transferable Skills (SURG0002)

Nanotechnology (SURG0084)

Tissue Culture and Bionanotechnology Techniques (SURG0085)

Biomaterials in Tissue Regeneration: Micro and Nanoscale Surface Structuring (SURG0087)

Applied Tissue Engineering (SURG0058)

MSc in Nanotechnology and Regenerative Medicine: Research Project (SURG0089)

Stem Cells and Their Applications in Surgery (SURG0059)

Translation of Nanotechnology and Regenerative Medicine (Bench to Bedside) (SURG0086)

Performing Systematic Reviews of Interventions (Part 1) (SURG0098)

Thank you.
Yours faithfully,
Yifan

Finance.FOI Requests, University College London

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Finance.FOI Requests, University College London

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Dear Yifan,

Thank you for your request for information made under the Freedom of
Information Act (FOIA) 2000.

We confirm that we hold some information of the description specified in
your request, please see our response below and the attached document. I
apologise for the delay in the provision of this response.

Your request 

Dear University College London,

May I please request the mean, median and standard deviation of marks as
well as marks by percentile (including the 25th, 75th, 80th, 90th, 95th
and 99th percentiles, as well as Highest mark achieved) for the following
UCL modules for the academic years 2021/22, 2022/23 and 2023/24 (please
respond to this request when data for the current academic year becomes
available) along with the number of students taking each module for each
year. Please also provide the mean mark for each module over all 3 years
specified (averaged over all 3 years, exclude missing years from average
should data not exist):

Research Methodologies and Transferable Skills (SURG0002)

Nanotechnology (SURG0084)

Tissue Culture and Bio nanotechnology Techniques (SURG0085)

Biomaterials in Tissue Regeneration: Micro and Nanoscale Surface
Structuring (SURG0087)

Applied Tissue Engineering (SURG0058)

MSc in Nanotechnology and Regenerative Medicine: Research Project
(SURG0089)

Stem Cells and Their Applications in Surgery (SURG0059)

Translation of Nanotechnology and Regenerative Medicine (Bench to Bedside)
(SURG0086)

Performing Systematic Reviews of Interventions (Part 1) (SURG0098)

Our response

We do not hold all of the information in the format you have requested
(i.e., the standard deviation and 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 (sections for each 10% of the possible score
a student could achieve). The table attached shows the mean mark and the
10-point decile marks for the requested modules for the academic years
2021/22 to 2023/24. The figure under each decile is the number of students
who achieved a score in that range that year. For example, with regards to
the SURG0002 ‘Research Methodologies and Transferable Skills’ module, this
shows that 30 students achieved a score between 70 and 79.99 in 2021/22.

Please note the following:

·       The 2023/24 results are preliminary as late summer assessments
have not yet taken place.

·       If a module does not appear for a year, it means that no one took
that module that year.

·       For module SURG0089, as it is a master’s research project, there
are no results for 2023/24 academic year yet.

·        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].
Emails should include the words ‘Internal Review’ in the subject and be
marked ‘For the Attention of the Vice-President (Operations)’.
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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We don't know whether the most recent response to this request contains information or not – if you are Yifan Chen please sign in and let everyone know.