This is a full-time master’s course. You’ll study for 12 months, from September to the following September.

In the first 9 months (semesters 1 and 2) you’ll study the taught part of your course.

This is made up of modules that everyone on the course takes, and modules we’ll ask you to choose from a list of options. You’ll take exams at the end of both semesters.

You’ll begin preparing for your research project and dissertation during semester 1, and continue this work in semester 2.

For the last 3 months, over the summer, you’ll work independently to research and write your dissertation. You’ll have one-to-one meetings with your supervisor during this time to discuss your progress.

Modules

The modules outlined provide examples of what you can expect to learn in this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.

You must study the following modules :

• MSc Project
• Research Methods and Project Preparation
• Topics in Computer Science

You must also choose from the following modules :

• Advanced Databases
• Advanced Programming Language Concepts
• Algorithmic Game Theory
• Bayesian, Active & Reinforcement Learning
• Biometrics
• Computational Finance
• Computer Vision (MSc)
• Cryptography
• Data Mining
• Data Visualisation
• Deep Learning Technologies
• Differentiable Programming and Deep Learning
• Digital Forensics
• Evolution of Complexity
• Foundations of Artificial Intelligence
• Foundations of Cyber Security
• Foundations of Data Science
• Foundations of Machine Learning (MSc)
• Image Processing
• Intelligent Agents
• Knowledge Graphs for AI Systems
• Machine Learning Technologies (MSc)
• Mobile Applications Development
• Natural Language Processing (MSc)
• Network and Web-Based Security
• Optimisation for Machine Learning
• Probability in Computing
• Simulation Modelling for Computer Science
• Social Media and Network Science
• Software Modelling Tools and Techniques for Critical Systems
• Software Project Management and Secure Development
• Software Security
• Web and Cloud Applications Development

Our graduates go on to earn a competitive salary working as:

• Software Developers
• Consultants
• Project Managers
• Testing, Support or Technical Specialists

These roles support a wide range of sectors including:

• Banking and Finance
• Consumer Electronics
• Defence
• Entertainment
• Insurance
• Telecommunications

The way we’ll teach you will depend on the modules you choose. Most modules involve a mixture of lectures, seminars and computer-based practical work.

You will enhance your knowledge and understanding of:

• Key Concepts in Computer Science
• Specialist Fields Such as Artificial Intelligence, Cyber Security and Software Engineering
• The Latest Tools and Techniques Used in These Specialist Fields
• The Most Effective Methods of Research and Enquiry in Computer Science

Assessment

Depending on the modules you take, we’ll assess your progress through a mixture of:

• Exams
• Lab Reports
• Technical Reports
• Design Exercises
• Individual and Group Projects
• Your Dissertation