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Admission Data for UCL Economics courses with and without further maths.

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Dear University College London,

May I please request the following information for the entry years of 2017, 2018 and 2019 for the courses : Economics BSc (Econ), Economics and Statistics BSc (Econ), Economics with a Placement Year BSc (Econ), Mathematics with Economics BSc and Statistics, Economics and Finance BSc.

1) Number of Applicants with Further Maths
2) Number of Applicants without Further Maths
3) Number of Offers Made to both parties
4) Number of Places
5) Mean number of A* predicted grades for those sitting the A-Level, of whom received an offer 6) Mean number of A* achieved grades at GCSE, of whom received an offer

Yours faithfully,

Humzah Enver

Finance.FOI Requests, University College London

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Finance.FOI Requests, University College London

Dear Humzah

 

Thank you for your Freedom of Information request of 14^th August 2020. 
Apologies for the delay in responding to your request.

 

We have completed the compilation of information in response to your
request for information about admission statistics for the following UCL
programmes for 2017, 2018 and 2019:

 

·         Economics BSc (Econ)

·         Economics and Statistics BSc (Econ)

·         Economics with a Placement Year BSc (Econ)

·         Mathematics with Economics BSc and Statistics

·         Economics and Finance BSc

 

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

 

Your Request

 

1)      Number of Applicants with Further Maths

2017 2018 2019
BSc
Mathematics
with
Economics 198 150 150
BSc
Statistics,
Economics
and Finance 288 357 341
BSc(Econ)
Economics 856 850 866
BSc(Econ)
Economics
and
Statistics 130 168 153
BSc(Econ)
Economics
with a
Placement
Year 0 65 64

 

2)      Number of Applicants without Further Maths

2017 2018 2019
BSc
Mathematics
with
Economics 139 181 173
BSc
Statistics,
Economics
and Finance 331 437 482
BSc(Econ)
Economics 1708 1860 2039
BSc(Econ)
Economics
and
Statistics 199 225 290
BSc(Econ)
Economics
with a
Placement
Year 0 197 214

 

3)      Number of Offers Made to both parties

Please note: We have assumed that by ‘both parties’ you mean the set of
individuals referred to in the preceding two questions.  The data below
has therefore been split into two parts – applicants with Further Maths
and applicants without Further Maths.

If our assumption is incorrect, please provide clarification as to what
was meant.

Number of
Offers Made
to
Applicants
with
Further
Maths 2017 2018 2019
BSc
Mathematics
with
Economics 168 119 84
BSc
Statistics,
Economics
and Finance 154 188 100
BSc(Econ)
Economics 596 457 486
BSc(Econ)
Economics
and
Statistics 100 104 64
BSc(Econ)
Economics
with a
Placement
Year 0 23 34

 

Number of
Offers Made
to
Applicants
without
Further
Maths 2017 2018 2019
BSc
Mathematics
with
Economics 57 87 54
BSc
Statistics,
Economics
and Finance 103 103 108
BSc(Econ)
Economics 653 563 627
BSc(Econ)
Economics
and
Statistics 82 75 95
BSc(Econ)
Economics
with a
Placement
Year 0 29 47

 

4)      Number of Places

Intake
(i.e. the
number of
students
starting
the
programme) 2017 2018 2019
BSc
Mathematics
with
Economics 44 41 28
BSc
Statistics,
Economics
and Finance 52 83 58
BSc(Econ)
Economics 293 219 252
BSc(Econ)
Economics
and
Statistics 47 46 29
BSc(Econ)
Economics
with a
Placement
Year 0 <5 21

 

5)      Mean number of A* predicted grades for those sitting the A-Level,
of whom received an offer

2017 2018 2019
BSc
Mathematics
with
Economics 2.3 2.3 2.8
BSc
Statistics,
Economics
and Finance 2.1 2.3 2.3
BSc(Econ)
Economics 2.5 2.7 2.8
BSc(Econ)
Economics
and
Statistics 2.2 2.1 2.5
BSc(Econ)
Economics
with a
Placement no
Year data 2.6 2.5

 

6)      Mean number of A* achieved grades at GCSE, of whom received an
offer

2017 2018 2019
BSc
Mathematics
with
Economics 4.6 5.5 3.9
BSc
Statistics,
Economics
and Finance 3.4 3.6 3.6
BSc(Econ)
Economics 5.3 5.6 4.2
BSc(Econ)
Economics
and
Statistics 5.1 4.4 3.5
BSc(Econ)
Economics
with a
Placement no
Year data 5.2 3.9

 

As you will see within the table provided for question 4 above, where the
number of students is fewer than 5, the information has been withheld
because this is personal data of third parties or, if linked with other
personal identifiers in the public domain, would likely to become personal
data.  This information has been withheld under Section 40(2) of the FOIA
by virtue of Section 40(3)(a)(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
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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
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As the Section 40(2) exemption is an absolute one, there is no need to
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Kind regards

Janine

 

Janine Small

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University College London

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References

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