MSc (Research) Computer Science

University of Hull

About our programmes

Whether you choose to study at Masters or PhD level, you'll find that Computer Sciences at Hull combines research expertise and cutting-edge facilities to deliver a unique experience in your postgraduate journey. The qualification you earn will allow you to face the challenges that lie ahead in the rapidly-developing world of computer science and to gain a head start in your career. The research we do in Computer Science - from AI and informatics to gamification, computational science, robotics and visualization - builds on a long history of successful research and innovation.

In the 2014 Research Excellence Framework (REF), the UK's assessment of research quality, we were ranked joint fifth in the country for the international, real-world impact of our research. Studying with us for a postgraduate research degree means you get to benefit from this expertise to solve a world-leading research problem of your own. Along the way, you will also acquire a wealth of other vital skills and enjoy being part of our active and friendly postgraduate student community.

Research

Our academic experts welcome applications for postgraduate research across a broad range of topics.

Artificial Intelligence and Informatics

Decision support and data mining (in telehealth)
Applied distributed information systems (privacy and security)
Big data
Digital healthcare technologies

Computational Science

Agent-based modelling
Data structures and analytics
Domain-specific languages
Crowd-sourced data
High-performance computing

Computer Gamification and Instruction

Using game technologies to improve motivation and engagement
Technology enhanced learning
Intelligent and personalised systems
Data mining (including educational data mining)
Human-computer interface aspects
Mobile and web-based applications

Dependable Systems

Optimal design refinement and allocation of dependability requirements - automation of processes in dependability standards
Automated dependability (safety, reliability, availability) analysis
Multi-objective optimisation of system architecture and maintenance
Automatic test data generation
New generation user interfaces for system design tools
Meta-heuristics, intelligent agents and application of AI in system design

Robotics

Intelligent robots
Intelligent diagnostic tools
Cognitive architectures
Fuzzy logic and robotics
Assistive living robots

Simulation and Visualization

Applications of simulation and visualization
Underpinning technologies