Taught courses

We have a wide variety of MSc-level courses in data science, which will be available to you during the first year of the programme. Please note that not all course are available every year. Our courses include:
 

Machine Learning, Statistics and Optimization

Bayesian Data Analysis
Bayesian Theory
Biomedical Data Science
Combinatorial Optimization
Data Mining and Exploration
Fundamentals of Optimization
Information Theory
Introductory Applied Machine Learning
Large Scale Optimization for Data Science
Likelihood and Generalized Linear Models
Machine Learning and Pattern Recognition
Modern Optimization Methods for Big Data Problems
Nonlinear Optimization
Probabilistic Modelling and Reasoning
Reinforcement Learning
Statistical Programming
Statistical Regression Models
Statistical Theory
Stochastic Optimization
The Analysis of Survival Data

Databases and Data Management

Advanced Databases
Advanced Topics in Foundations of Databases
Applied Databases
Databases Systems
Extreme Computing

Applications of Data Science

Accelerated Natural Language Processing
Advanced Vision
Automatic Speech Recognition
Bioinformatics 1
Bioinformatics 2
Foundations of Natural Language Processing
Machine Translation
Natural Language Generation
Natural Language Understanding
Neural Information Processing
Optimization Methods in Finance
Speech Synthesis
Social and Technological Networks
Text Technologies for Data Science

Students in the CDT in Data Science are also required to take Introduction to Research in Data Science.