BSc Mathematics for Data Science
Entry requirements
A level: ABB including Maths or Further Maths IB: International Baccalaureate Diploma 31 points including HL 5 in Maths (AA or AI). GCSE English equivalent SL 5 or HL 4 and Mathematics SL 2 or HL 2
About this course
BSc (Hons) in Mathematics and Statistics, combining quantitative methods with data-driven analysis. Core topics include Statistics, Mathematical Modelling, Programming, Data Analysis, and Artificial Intelligence & Machine Learning. A third of the credits at each level are based on project-oriented work, and a four-year Professional Placement option is available with industry placements.
Modules
- Calculus 1
- Calculus 2
- Elements of Applied Mathematics 1
- Elements of Applied Mathematics 2
- Fundamentals of Mathematics
- Linear Algebra
- Probability and Statistics 1
- Applied Statistics
- Calculus 3
- Discrete Mathematics
- Linear and Abstract Algebra
- Machine Learning for Artificial Intelligence
- Probability and Statistics 2
- Professional Development and Project Work
- Practical Machine Learning
- Experimental Design and Regression Analysis
- Stochastic Models
- Data Mining and AI for Big Data Analytics
- Applied Optimisation
- Data Science Project