London Metropolitan University

Course Introduction

**Why study this course?**

Graduates from this degree can progress into financial mathematics careers, but also work more broadly in the finance and banking industry as a whole. In addition the graduates from this course can proceed to PGCE in Secondary Mathematics Teaching as well as MSc in Financial and Mathematics areas. Since at least half of this degree is in Mathematics and Mathematics is SIV (Strategically Important and Vulnerable) subject, the students on this course will be eligible for ELQ (Equal Level Qualifications) funding.

**More about this course**

Learning activities include lectures, tutorials, seminars, computer'based learning, case studies and investigations.

You'll learn how to apply mathematical processes in problem solving, developing arguments with appropriate conclusions and an evaluation of their limitations. You'll also formulate complex problems and analyse the results in context. These skills will be developed by learning activities such as problem solving classes, case studies, data'driven analysis, independent research and study.

All mathematics and computing modules will have presence on the University virtual learning environment. Apart from standard information such as modules, staff contact details, surgery/office hours and regular notice boards, it will also include, where appropriate, online submission of assessments, marking and feedback; online quizzes, reusable learning objects, e'portfolios and social networking tools.

Further in the course the specific local software will be used such as Computer Algebra packages (MAPLE), SQL, ORACLE and programming language (e.g. Python) to enhance students learning.

Course Modules

Modules include:

(all modules are 30'credit modules unless otherwise stated)

Level 4 topics include:

Calculus and Linear Algebra

Mathematical Proof and Structures

Financial Maths with Statistics 1

Mathematical Programming

Level 5 topics include:

Further Calculus

Differential Equations (15 Credit)

Financial Maths with Statistics 2

Project Management (15 Credit)

Computational Mathematics

Level 6 topics include:


Academic Independent Study (15 Credit)

Work Related Learning (15 Credit)

Financial and Statistical Modelling

Mathematical Modelling


Cryptography and Error Correcting Codes

Algebra and Analysis

Start Date:


Duration & Attendance Qualification Tuition fees Fee type
3 years
Full Time
Bachelor of Science (with Honours) - BSc (Hons) £9,250 Home Fees