IELTS 6.0 overall with minimum 5.5 in each skill
Our financial mathematics degree provides an ideal platform if you are interested in pursuing a career in the financial sector.
This degree in financial mathematics is based on the type of mathematics and statistics used daily in the financial industry. You will study asset price modelling, risk-neutral pricing, time series analysis and actuarial mathematics. An optional work placement means you can test new skills and knowledge in a working environment.
Popular career destinations for our financial mathematics graduates include the financial, insurance, banking and investment sectors. The course is accredited by the Institute of Mathematics and its Applications, the UK's chartered professional body for mathematicians, so with further experience, you could achieve chartered mathematician status.
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Year 1
Students are required to study the following compulsory modules.
Mathematical Algorithms and Methods (30 credits)
Vectors and Matrices (15 credits)
Mathematical Coding (15 credits)
Calculus and Mathematical Analysis (30 credits)
Analysis of Data (15 credits)
Probability and Randomness (15 credits)
Year 2
Students are required to study the following compulsory modules.
Linear Algebra and Differential Equations (30 credits)
Numerical Mathematics (15 credits)
Operational Research: Linear Programming (15 credits)
Simulation and Modelling (15 credits)
Vector Calculus (15 credits)
Statistical Data Analysis and Time Series (30 credits)
Year 3
Students are required to choose 30 credits from this list of options.
Research Methods and Mathematics Project (30 credits)
UAS: Mathematics Education and Communication (30 credits)
Mathematics Work Placement (30 credits)
Students are required to choose 30 credits from this list of options.
Actuarial Mathematics and Risk Modelling (15 credits)
Modelling and Analysis of Financial Instruments (15 credits)
Financial Time Series (15 credits)
Linear Models and Statistical Inference (15 credits)
Students are required to choose 60 credits from this list of options.
Machine Learning (15 credits)
Actuarial Mathematics and Risk Modelling (15 credits)
Optimisation Techniques (15 credits)
Modelling and Analysis of Financial Instruments (15 credits)
Financial Time Series (15 credits)
Mathematics for the Life Sciences (15 credits)
Graph Theory and Applications (15 credits)
Coding and Cryptography (15 credits)
Partial Differential Equations (15 credits)
Bayesian Methods and Their Applications (15 credits)
Linear Models and Statistical Inference (15 credits)
Students from Mathematical Sciences have secured placement years at the Department for Work & Pensions, NHS England, NATS, Home Office, HMRC, Department of Health, GSK, Intel and Lloyds Banking Group.
Career opportunities for this course are varied. Most industries are always on the lookout for graduates with intellectual, mathematical and numerical skills that can be applied to a wide range of practical situations.
You may choose to work in a variety of fields such as data science, statistical modelling, operational research, research, internet technology, the pharmaceutical industry, accounting, banking, the Civil Service, teaching, logistics, consultancy, actuarial science, risk management and marketing.
Insurance - Single: 300 (£) per year
