PROGRAMME SPECIFICATION
Programme title:
Final award (BSc, MA etc):
(where stopping off points exist they should be
Mathematics and Mathematical Physics
MSci detailed here and defined later in the document)
UCAS code:
(where applicable)
Cohort(s) to which this programme specification is applicable:
(e.g. from 2015 intake onwards)
Awarding institution/body:
Teaching institution:
Faculty:
Parent Department:
(the department responsible for the administration of the programme)
Departmental web page address:
(if applicable)
Method of study:
Full-time/Part-time/Other
Criteria for admission to the programme:
Length of the programme:
(please note any periods spent away from UCL, such as study abroad or placements in industry)
Level on Framework for Higher
Education Qualifications (FHEQ)
(see Guidance notes )
Relevant subject benchmark statement
(SBS)
(see Guidance notes)
Brief outline of the structure of the programme and its assessment methods:
(see guidance notes)
Board of Examiners:
Professional body accreditation
(if applicable):
G1FH
Intakes from 2000
University College London
University College London
Mathematical and Physical Sciences
Mathematics http://www.ucl.ac.uk/maths/
Full time
See: http://www.ucl.ac.uk/maths/prospective-students/undergraduates
4 years
Masters Level (Level 7)
Mathematics
See: http://www.ucl.ac.uk/maths/prospectivestudents/undergraduates/degree-programmes
Name of Board of Examiners:
Mathematics
Date of next scheduled accreditation visit:

EDUCATIONAL AIMS OF THE PROGRAMME:
To provide a four year degree programme for undergraduate students which is intellectually challenging and rigorous as well as providing a qualification that will enable graduates to be well-placed to continue study for a postgraduate qualification or to enter employment.
PROGRAMME OUTCOMES:
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the following areas:
A: Knowledge and understanding
Knowledge and understanding of:
1. Core topics in various branches of advanced pure and applied mathematics and together with physics and/or astronomy.
Teaching/learning methods and strategies:
Lectures, problem classes, tutorials and private study.
2. A range of optional advanced topics in courses which are informed by the scholarship and/or research interests of the staff.
3. The application of critical and analytical reasoning and the presentation of logical and concise arguments.
Intellectual (thinking) skills:
1. Understanding sophisticated mathematical arguments and rigorous proofs.
2. Comprehension of high levels of abstraction in pure mathematics.
Assessment:
Written unseen examinations for all courses apart from the totally computer-based courses that have project based examinations. There is also an additional coursework and/or project component to the assessment for all core courses and most optional courses.
B: Skills and other attributes
Teaching/learning methods and strategies:
Lectures, problem classes, tutorials and projects where appropriate.
Assessment:
See above.

Practical skills (able to):
1. The assimilation and manipulation of substantial bodies of knowledge
C: Skills and other attributes
Teaching/learning methods and strategies:
Written presentations of solutions to problems set as coursework and/or projects.
2. Apply physical insight and mathematical techniques to the solution of problems in applied mathematics, particularly as well as physics and/or astronomy.
The accumulation of material necessary to write a report on s project.
Written work produced under examination conditions.
3. Develop investigative skills required for problem solving.
Assessment:
See above.
Transferable skills (able to):
1. Structure and communicate ideas effectively.
2. Manage time and work to deadlines.
3. Work independently or within a group.
4. Develop self-confidence and reliance.
5. Use information technology and retrieval systems in acquiring investigative skills.
6. Assess the relevance and importance of ideas and develop the ability to identify the significant aspects in a problem that is necessary in mathematical modelling.
D: Skills and other attributes
Teaching/learning methods and strategies:
Courses with coursework and/or project work introduce information that needs to be assessed critically.
Training in the presentation of logical and precise arguments.
Contribute to Peer Assisted Learning programmes.
Encouragement to participate effectively in discussion groups such as tutorials.
Assessment:
See above.
The following reference points were used in designing the programme:

the Framework for Higher Education Qualifications
( http://www.qaa.ac.uk/en/Publications/Documents/Framework-Higher-Education-Qualifications-08.pdf
);

the relevant Subject Benchmark Statements ( http://www.qaa.ac.uk/assuring-standards-and-quality/the-qualitycode/subject-benchmark-statements );

the programme specifications for UCL degree programmes in relevant subjects (where applicable);

UCL teaching and learning policies;

staff research.
Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if he/she takes full advantage of the learning opportunities that are provided. More detailed information on the learning outcomes, content and teaching, learning and assessment methods of each course unit/module can be found in the departmental course handbook. The accuracy of the information contained in this document is reviewed annually by UCL and may be checked by the Quality Assurance Agency.

Programme Organiser(s)
Name(s):
Date of Production:
Date of Review:
Date approved by Head of
Department:
Date approved by Chair of
Departmental Teaching
Committee:
Date approved by Faculty
Teaching Committee
Dr M L Roberts
August 2003
November 2014
November 2014
November 2014
February 2015

APPENDIX
The Mathematics with Theoretical Physics MSci degree programme structure is summarised in the following
Table.
Year
Analysis
Algebra
1
MATH1101/1102
Analysis 1 & 2 *
MATH 1201/1202
Algebra 1 & 2 *
2
MATH 2101 Analysis 3:
Complex Analysis *
MATH 7102 Analysis 4: Real
Analysis
MATH 2201 Algebra 3: Further
Linear Algebra
MATH7112 Geometry and
Groups
MATH 7202 Algebra 4: Groups and Rings
3
Applied
Mathematics
Methods
Probability and
Statistics
Numerical Methods and Programming
Number Theory
MATH 1301/1302
Applied
Mathematics 1 &
Newtonian
Mechanics *
MATH 1401/1402
Mathematical
Methods 1 & 2 *
MATH 2301 Fluid Mechanics *
MATH 7302 Analytic Dynamics
MATH7304 Electromagnetism
MATH 2401 Mathematical
Methods 3*
MATH 7402 Mathematical
Methods 4
MATH3305
General
Relativity*
MATH 7501 Probability and
Statistics
MATH 7601 Numerical
Computation
MATH 7701
4
Project (1 unit) *
Physics PHAS2222 Quantum
Mechanics
Up to 1 unit
Outside Option At most 1/2 unit At most 1 unit At most 1 unit
In the above table, * denotes a compulsory core course.
In Year 3 of the MSci programme, students choose at least 1.5 units of designated maths options. In Year 4, they take a compulsory project in Mathematics or Physics and a suitable range of 4 th year modules in
Mathematics, including up to one unit of Physics.
Up to one unit of "outside" options may also be taken.
Assessment includes a written unseen examination for each course except the two computer-based courses.
All core courses and some optional courses have a coursework component which contributes 10% to the total assessment mark. Some courses have a project that contributes to the assessment.

The fourth year project is examined by a written dissertation together with an oral presentation with questions.