Mathematics and Computer Science

Paradigms of Programming (30 credits)

Algorithms and Data Structures (15 credits)

Vectors and Matrices (15 credits)

Calculus and Mathematical Analysis (30 credits)

Analysis of Data (15 credits)

Probability and Randomness (15 credits)

Advanced Programming (15 credits)

Information Security (15 credits)

Introduction to Artificial Intelligence (15 credits)

Advanced Algorithms and Data Structures (15 credits)

Linear Algebra and Differential Equations (30 credits)

Operational Research: Linear Programming (15 credits)

Vector Calculus (15 credits)

Students are required to study the following compulsory modules:
Machine Learning (15 credits)
Artificial Intelligence Applications (15 credits)
Coding and Cryptography (15 credits)

Students are required to choose 1 module 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:
Natural Computing (15 credits)
JVM Programming Languages (15 credits)
Information Visualisation and Big Data (15 credits)
Optimisation Techniques (15 credits)
Mathematics for the Life Sciences (15 credits)
Graph Theory and Applications (15 credits)
Partial Differential Equations (15 credits)

Students are required to choose 15 credits from this list of options:
Natural Computing (15 credits)
JVM Programming Languages (15 credits)
Information Visualisation and Big Data (15 credits)