Masters.

Data Structures, Algorithms and Databases

Core algorithms and data structures, combined with relational and non-relational database theory.

Visualisation

Data and information visualisation — perception, design principles, and interactive visual analytics.

Secure Software and Hardware Systems

Natural Language Processing

Algorithms for Data Science

Algorithmic techniques for large-scale data: streaming, sketching, sampling and optimisation.

Neural Computation

Dependable and Distributed Systems

Robot Motion Planning and Control

Trajectory planning, control theory and autonomous navigation for robotic systems.

Evolutionary Computation

Intelligent Interactive Systems

Advanced Cryptography

Programming for Data Science

Data manipulation, statistical programming, and analysis pipelines for data science applications.

Security of Real-World Systems

Designing and Managing Secure Systems

Security engineering — threat modelling, secure design principles and security management.

Mathematical Foundations of AI and Machine Learning

The mathematical underpinnings of AI — linear algebra, probability, optimisation and information theory.

Storing and Managing Data

Advanced database systems — storage engines, distributed data, big data processing and cloud data management.

Artificial Intelligence and Machine Learning

Core AI techniques and machine learning — from probabilistic models to deep learning.

Forensics, Malware and Penetration Testing

Digital forensics techniques, malware analysis and structured penetration testing methodology.

Computer Vision and Imaging

Advanced Networking

Network Security and Cryptography

Cryptographic primitives, protocol design and network-level security attacks and defences.

Computer Systems

Advanced computer architecture, compilers, operating systems and low-level systems programming.

Current Topics in Artificial Intelligence and Data Science

Cutting-edge topics across artificial intelligence and data science, covering recent research and emerging methods.

Robot Vision

Computer vision techniques applied to robotic perception — feature detection, stereo vision and SLAM.

Intelligent Software Engineering

Programming Language Principles, Design and Implementation

Mobile and Ubiquitous Computing

Algorithms and Complexity

Game Theory

Advanced Robotics

Motion planning, kinematics, sensor fusion and autonomous robot systems.