BSc Mathematics, Statistics and Data Science
Entry requirements
A level: A*A*A including A* in Mathematics and A in a second quantitative subject. IB: 36 points overall and either 7, 7, 6 in three Higher Level subjects including 6 in Mathematics: Analysis & Approaches or 7, 6, 6 or 7, 7, 5 in three Higher Level subjects including 7 in Mathematics: Analysis & Approaches.
About this course
BSc (Hons) in Mathematics, Statistics and Data Science, a mathematics and mathematics and statistics degree focused on quantitative methods and computational techniques. Core topics include Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Students complete a study abroad or professional placement year before undertaking advanced final-year study. The first year establishes fundamental concepts through modules such as Core pure and applied mathematics A, Core pure and applied mathematics B, Statistics and data science 1A, and Statistics and data science 1B. The second year develops more advanced analytical techniques via Differential equations and vector calculus, Introduction to data science, Machine learning 1, Statistics 2A, and Statistics 2B. The third year consists of Study abroad (BSc) and Professional placement. The fourth year covers specialized advanced topics through Applied data science, Deep learning, Statistical modelling and data analytics 3A, and Statistical modelling and data analytics 3B.
Modules
- Core pure and applied mathematics A
- Core pure and applied mathematics B
- Statistics and data science 1A
- Statistics and data science 1B
- Differential equations and vector calculus
- Introduction to data science
- Machine learning 1
- Statistics 2A
- Statistics 2B
- Study abroad (BSc)
- Professional placement
- Applied data science
- Deep learning
- Statistical modelling and data analytics 3A
- Statistical modelling and data analytics 3B