2024/25 Undergraduate Programme Catalogue

BSc Economics and Mathematics (For students entering from September 2024 onwards)

Total credits: 360

Entry requirements:

Entry Requirements are available on the Course Search entry

School/Unit responsible for the parenting of students and programme:

School of Mathematics

Examination board through which the programme will be considered:

Relevant QAA Subject Benchmark Groups:

Mathematics, Statistics and Operational Research, Economics

Professional Body Offering Accreditation:

some exemptions from Institute and Faculty of Actuaries available, on satisfactory completion of specified modules

Programme specification:

The information on this page is accurate for students entering the programme from September 2024. For students who entered the programme before September 2024, you can find the details of your programme: BSc Economics and Mathematics

This programme is for students who have a strong interest in mathematics and economics and want to learn how mathematical thinking enhances economic analysis. The programme will prepare you to pursue a career in various industries where your mathematical thinking and economic insights at valued, for example, in banking and finance, large corporations and public institutions and charities.

Through the programme you will develop your understanding of mathematics, statistics, economics and their role in the modern society. The emphasis on a rigorous understanding of the underlying principles coupled with opportunities to develop your professional skills will give you a strong foundation on which to build your future career.


The programme will aim to:
- introduce students to the major branches of mathematics and economics;
- enable students to apply statistical methods to solving economic problems;
- enable the student to appreciate the coherence, logical structure, and broad applicability of mathematics;
- enable the student to appreciate the different approaches, concepts and applications in economics;
- impart an awareness of the values of research and scholarship in mathematics and economics;
- accustom students to the use of tools, including libraries and computers, that are available within mathematics and economics;
- provide a thorough training in the intellectual skills and advanced techniques of modern mathematics and economics;
- develop the ability of students to abstract and generalize, to model various phenomena, and to interpret numerical and empirical data;
- enable the student to develop the skills associated with problem solving, rigorous argument and communication; - educate students to meet the needs of employers, including those in industry, finance, education and the public services;
- broaden and deepen the mathematical and economic background of students;
- prepare students to work in fields where specific and broadly based advanced knowledge in mathematics and economics is required;
- enable students to embark on research in some area of mathematics, economic theory, empirical economics or statistics.

Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

Students will be required to study the following compulsory modules:

Year2 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

We are currently refreshing our courses to make sure students have the best possible experience. Where there is no module code link below the full module details are not yet available. Before you are required to enrol on a module full details will be provided.

Compulsory modules:

Candidates will be required to study the following compulsory modules:

- Statistical Methods - 20 credits
- Optimisation - 10 credits

Optional modules:

Candidates will be required to study in total 30 credits from Lists A and B together, to include not more than 10 credits from List B, and 30 credits from List C. Candidates must ensure that they take in total 40 credits in semester 1 and 20 credits in semester 2 (20 credit year-long modules contribute 10 credits for each semester in this calculation).

For example:

* candidates could select 30 credits in Semester 1 from List A, nothing from List B, and 10 credits in each semester from List C; or

* candidates could select Financial Mathematics from List A (which is 10 credits in each semester), 10 credits from List B (in Semester 2) and then 30 credits in Semester 1 from List C; or

* candidates could select 10 credits in Semester 1 from List A, together with Financial Mathematics, nothing from List B, 20 credits in Semester 1 from List C, and 10 credits in Semester 2 from List C; or

* candidates could select 20 credits in Semester 1 from List A, 10 credits in Semester 2 from List B, 20 credits in Semester 1 from List C, and 10 credits in Semester 2 from List C.

Other combinations are permissible provided they meet the conditions in the paragraph above.

Candidates will be required to study in total 30 credits from Lists A and B together, to include not more than 10 credits from List B, and 30 credits from List C. Candidates must ensure that they take in total 40 credits in semester 1 and 20 credits in semester 2 (20 credit year-long modules contribute 10 credits for each semester in this calculation).
For example:
• candidates could select 30 credits in Semester 1 from List A, nothing from List B, and 10 credits in each semester from List C; or
• candidates could select Financial Mathematics from List A (which is 10 credits in each semester), 10 credits from List B (in Semester 2) and then 30 credits in Semester 1 from List C; or
• candidates could select 10 credits in Semester 1 from List A, together with Financial Mathematics, nothing from List B, 20 credits in Semester 1 from List C, and 10 credits in Semester 2 from List C; or
• candidates could select 20 credits in Semester 1 from List A, 10 credits in Semester 2 from List B, 20 credits in Semester 1 from List C, and 10 credits in Semester 2 from List C.
Other combinations are permissible provided they meet the conditions in the paragraph above.

List A:
Further Linear Algebra and Discrete Mathematics - 20 credits
- Vector Calculus and Transforms - 20 credits
- Stochastic Processes - 10 credits
- Investigations in Mathematics - 10 credits
- Financial Mathematics - 20 credits

List B:
- Calculus of Variations - 10 Credits
- Rings and Polynomials -10 credits
- Time Series - 10 credits

List C:

List B:

Discovery modules:

Year3 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

We are currently refreshing our courses to make sure students have the best possible experience. Where there is no module code link below the full module details are not yet available. Before you are required to enrol on a module full details will be provided.

Optional modules:

Mathematics pathway

Candidates on the Mathematics pathway will be required to select a branch to pursue from Mathematics-A and Mathematics-B.

Mathematics pathway
Candidates on the Mathematics pathway will be required to select a branch to pursue from Mathematics-A and Mathematics-B.

Mathematics-A
Candidates will be required to study the following compulsory modules:
- Project in Mathematics - 40 credits

Candidates will be required to study exactly one module from List A and all modules from List B. Candidates may opt to replace 10 credits from List B with a Discovery module.

List A:
- Statistical Modelling - 20 credits
- Methods of Applied Mathematics - 20 credits

List B:

Mathematics-B
Candidates will be required to study the following compulsory modules:

Project in Mathematics - 40 credits

Candidates will be required to choose exactly one module from List A and 60 credits from List B ensuring that 40 credits from List B are in semester 1 and 20 credits from List B are in semester 2 (20 credit year-long modules contribute 10 credits for each semester in this calculation). Candidates may opt to replace 10 credits from List B with a Discovery module.

List A:
- Graph theory and combinatorics - 20 Credits
- Stochastic Calculus and Derivative Pricing - 20 credits
- Multivariate Analysis and Classification - 20 credits
- Numbers and codes - 20 credits

List B:

Economics pathway
Candidates on the Economics pathway will be required to select a branch to pursue from Economics-A and Economics-B.

Economics-A
Candidates will be required to study the following compulsory modules

Candidates will be required to study 2 modules from List A, 1 module from List B, and 10 credits in semester 1 and 20 credits in semester 2 from List C (20 credit year-long modules contribute 10 credits for each semester in this calculation). Candidates may opt to replace 10 credits from List C with a Discovery module.

List A:
- Methods of Applied Mathematics - 20 Credits
- Groups and Symmetry - 20 Credits
- Statistical Modelling - 20 Credits

List B:
- Graph theory and combinatorics - 20 Credits
- Stochastic Calculus and Derivative Pricing - 20 credits
- Multivariate Analysis and Classification - 20 credits
- Numbers and codes - 20 credits

List C:

Economics-B
Candidates will be required to study the following compulsory modules

Candidates will be required to study 1 module from each of List A, B, C, and 30 credits from List D. Candidates may opt to replace 10 credits from List D with a Discovery module.

List A:
- Groups and Symmetry - 20 Credits
- Methods of Applied Mathematics - 20 credits
- Statistical Modelling - 20 credits

List B:
- Stochastic Calculus and Derivative Pricing - 20 credits
- Numbers and codes - 20 credits

List C:
- Graph theory and combinatorics - 20 credits
- Multivariate Analysis and Classification - 20 credits

List D:

Discovery modules:

Last updated: 10/05/2024 16:40:04

Disclaimer

Browse Other Catalogues

• Undergraduate module catalogue
• Taught Postgraduate module catalogue
• Undergraduate programme catalogue
• Taught Postgraduate programme catalogue

Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD