On this degree in statistics and data analytics, 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.
The course is one of our popular suite of mathematics degrees; in the 2019 Guardian University Guide, these were ranked in the top 10 in the UK.
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.
What you should know about this course
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)
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