IELTS 6.0 overall with minimum 5.5 in each skill
This mathematics degree gives you the advanced mathematical methods and techniques you will need to succeed in mathematics-based roles.
Through this degree in mathematics, you will grow as a mathematician, gaining analytical skills that you can apply to problems in the real world. We will also train you to use mathematical software so you can understand the strengths and limitations of computers and other tools. If you are interested in becoming a mathematics teacher, you can gain classroom experience by taking part in the Undergraduate Ambassadors Scheme.
Our mathematics courses are highly regarded, we are ranked 3rd in the UK in Mathematics for Student Satisfaction (Complete University Guide, 2022). Also, we are ranked 3rd in London overall, 1st for student satisfaction with the course, and also with feedback, and 2nd for student satisfaction with teaching (Guardian league table, 2022).
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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 1 module 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.
Machine Learning (15 credits)
Actuarial Mathematics and Risk Modelling (15 credits)
Optimisation Techniques (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)
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
