MSci Mathematics with Computer Science
Entry requirements
A level: A*AA. This should include Mathematics grade A or Further Mathematics grade A. The overall offer grades will be lowered to AAA for applicants who achieve both Mathematics and Further Mathematics at grades AA. IB: 38 points overall with 17 points from the best 3 HL subjects including 6 in Mathematics HL (either analysis and approaches or applications and interpretations)
About this course
MSci Hons in Mathematics with Computer Science, a mathematics and computer science degree exploring the theoretical and practical intersections of both fields. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Ethics & Professional Practice, and Artificial Intelligence & Machine Learning. The four-year programme concludes with a major research project, which can be completed as an individual dissertation or through a combination of project and industry placement.
Modules
- Fundamentals of Computer Science
- Logic and Discrete Mathematics
- Matrices and Calculus
- Probability and Statistics
- Software Development
- Symmetry and Sequences
- Linear Algebra
- Project Skills
- Secure Data and Systems
- Abstract Algebra
- Applied Data Science
- Artificial Intelligence
- Complex Analysis
- Extended Reality
- Internet Applications
- Mathematics of Artificial Intelligence
- Multivariate Probability and Statistics
- Real Analysis
- Commutative Algebra
- Dynamic Modelling
- Environmental Statistics
- Graph Theory and Algorithms
- Hilbert Spaces
- Knots and Geometry
- Linear Systems
- Machine Learning
- Mathematical Cryptography
- Mathematical Finance
- Mathematics of Generative Modelling
- Medical Statistics
- Metric Spaces and Topology
- Statistical Inference
- Stochastic Processes
- Statistical Learning and Prediction
- Advanced Programming
- Computer Vision
- Digital Health
- Secure Distributed Systems
- Languages and Compilation
- Natural Language Processing
- Quantum Computing
- Secure Artificial Intelligence
- Secure Cyber Physical Systems
- Research Methods & Innovation
- Dissertation or Combination of Project and Placement
- Advanced Statistical Modelling
- Clinical Trials
- Combinatorics
- Computing and Algorithms for Statistics
- Deep Learning
- Epidemiology and Disease Modelling
- Estimation and Inference
- Galois Theory
- Hidden-Process Models
- Lie Groups and Lie Algebras
- Measure and Integration
- Operators and Spectral Theory
- Probability Theory
- Stochastic Calculus for Finance
- Survival and Longitudinal Statistics
- Number Theory