Full time
Year 1
Students are required to study the following compulsory modules.
- Vectors and Matrices (15 credits)
- Mathematical Coding (15 credits)
- Calculus and Mathematical Analysis (30 credits)
- Discrete Mathematics (15 credits)
- Our Mathematical World (15 credits)
- Analysis of Data (15 credits)
- Probability and Randomness (15 credits)
Year 2
Students are required to study the following compulsory modules.
- Applications in AI and Data Science (15 credits)
- Big Data Analysis and Visualisation (15 credits)
- Linear Algebra and Differential Equations (30 credits)
- Operational Research: Linear Programming (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.
- Machine Learning (15 credits)
- Responsible Artificial Intelligence (15 credits)
- Optimisation Techniques (15 credits)
- Advanced Optimisation Techniques (15 credits)
- Linear Models and Statistical Inference (15 credits)
Students are required to choose 30 credits from this list of options.
- Research Methods and Mathematics Project (30 credits)
- Mathematics Work Placement (30 credits)
Students are required to choose 15 credits from this list of options.
- Financial Time Series (15 credits)
- Graph Theory and Applications (15 credits)
- Bayesian Methods and Their Applications (15 credits)
Part time
Year 1
Students are required to study the following compulsory modules.
- Mathematical Coding (15 credits)
- Calculus and Mathematical Analysis (30 credits)
- Our Mathematical World (15 credits)
Year 2
Students are required to study the following compulsory modules.
- Vectors and Matrices (15 credits)
- Discrete Mathematics (15 credits)
- Analysis of Data (15 credits)
- Probability and Randomness (15 credits)
Year 3
Students are required to study the following compulsory modules.
- Big Data Analysis and Visualisation (15 credits)
- Operational Research: Linear Programming (15 credits)
- Statistical Data Analysis and Time Series (30 credits)
Year 4
Students are required to study the following compulsory modules.
- Applications in AI and Data Science (15 credits)
- Linear Algebra and Differential Equations (30 credits)
- Vector Calculus (15 credits)
Year 5
Students are required to study the following compulsory modules.
- Machine Learning (15 credits)
- Optimisation Techniques (15 credits)
- Advanced Optimisation Techniques (15 credits)
- Linear Models and Statistical Inference (15 credits)
Year 6
Students are required to study the following compulsory modules.
- Responsible Artificial Intelligence (15 credits)
Students are required to choose 30 credits from this list of options.
- Research Methods and Mathematics Project (30 credits)
- Mathematics Work Placement (30 credits)
Students are required to choose 15 credits from this list of options.
- Financial Time Series (15 credits)
- Graph Theory and Applications (15 credits)
- Bayesian Methods and Their Applications (15 credits)
Sandwich
Year 1
Students are required to study the following compulsory modules.
- Vectors and Matrices (15 credits)
- Mathematical Coding (15 credits)
- Calculus and Mathematical Analysis (30 credits)
- Discrete Mathematics (15 credits)
- Our Mathematical World (15 credits)
- Analysis of Data (15 credits)
- Probability and Randomness (15 credits)
Year 2
Students are required to study the following compulsory modules.
- Applications in AI and Data Science (15 credits)
- Big Data Analysis and Visualisation (15 credits)
- Linear Algebra and Differential Equations (30 credits)
- Operational Research: Linear Programming (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.
Year 4
Students are required to study the following compulsory modules.
- Machine Learning (15 credits)
- Responsible Artificial Intelligence (15 credits)
- Optimisation Techniques (15 credits)
- Advanced Optimisation Techniques (15 credits)
- Linear Models and Statistical Inference (15 credits)
Students are required to choose 30 credits from this list of options.
- Research Methods and Mathematics Project (30 credits)
- Mathematics Work Placement (30 credits)
Students are required to choose 15 credits from this list of options.
- Financial Time Series (15 credits)
- Graph Theory and Applications (15 credits)
- Bayesian Methods and Their Applications (15 credits)