IELTS 6.0 overall with minimum 5.5 in each skill
Our statistics and data analytics degree provides the knowledge and skills to master the statistical modelling techniques used by professional statisticians and data analytics specialists.
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).
On this degree you will learn methods for data collection, analysis, interpretation, statistical estimation, statistical modelling and simulation. If you are an aspiring mathematics teacher, our Undergraduate Ambassadors Scheme will enable you to gain classroom experience.
Career options for our graduates include market research, business analysis, forecasting and teaching. The course is accredited by the Institute of Mathematics and its Applications, the UK's chartered professional body for mathematicians.
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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 study the following compulsory modules.
Optimisation Techniques (15 credits)
Linear Models and Statistical Inference (15 credits)
Students are required to choose 30 credits from this list of options.
Machine Learning (15 credits)
Actuarial Mathematics and Risk Modelling (15 credits)
Modelling and Analysis of Financial Instruments (15 credits)
Financial Time Series (15 credits)
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.
Machine Learning (15 credits)
Actuarial Mathematics and Risk Modelling (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)
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
