Advanced Computer Science (Intelligent Systems)

Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming, as well as the basic principles of automated reasoning, machine learning and how computers can be made to represent knowledge.

From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, cloud computing, graph theory and developing mobile apps.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?
Take a look at the Advanced Computer Science (Intelligent Systems) module descriptions for more detail on what you will study.

Course structure

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

Modules Year 1

Compulsory modules

• MSc Project 60 credits
• Bio-Inspired Computing 15 credits
• Knowledge Representation and Reasoning 15 credits
• Image Analysis 15 credits

Optional modules

• Distributed Systems 10 credits
• Mobile Application Development 10 credits
• Machine Learning 10 credits
• Intelligent Systems and Robotics 20 credits
• User Adaptive Intelligent Systems 10 credits
• Data Mining and Text Analytics 10 credits
• Combinatorial Optimisation 10 credits
• Graph Algorithms and Complexity Theory 10 credits
• Big Data Systems 15 credits
• Data Science 15 credits
• Algorithms 15 credits
• Parallel and Concurrent Programming 15 credits
• Cloud Computing 15 credits
• Semantic Technologies and Applications 15 credits
• Scheduling 15 credits
• Scientific Computation 15 credits
• Graph Theory: Structure and Algorithms 15 credits

For more information on typical modules, read Advanced Computer Science (Intelligent Systems) MSc in the course catalogue

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.