Advanced Artificial Intelligence MRes

Entry requirements

You should have an upper second class (2:1)undergraduate honours degree (or above) in computer science, mathematics, physics or engineering but must contain modules in: machine learning / statistical modelling / artificial intelligence, and linear algebra / mathematics, and computer programming using Python / R / C / C++ / MATLAB / Java. Candidates with degrees in other subject areas which contain these modules will also be considered on a case by case basis. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Months of entry

September

Course content

• Artificial Intelligence (AI) is rapidly becoming a core technology with a diverse range of applications across science, healthcare and society. This MRes goes beyond basic principles. It offers research-focused training that will equip you with the skills and knowledge for doctoral study, and industrial AI research or engineering roles.
• This course is for you if you have recently studied a closely related technical degree and have a deep interest in artificial intelligence research methods. You’ll explore:
• cutting-edge machine learning and bio-inspired AI techniques
• how AI can be applied in a range of contexts, and the potential of implications of this
• AI research and scientific communication skills.
• A research project on a topic of your choice will give you the opportunity to develop and demonstrate your skills and understanding.
• At Sussex, you’ll learn from experts with an established history and reputation in AI. We have recently created Sussex AI, a Centre of Excellence, based in the Department of Informatics and led by members of the AI research group. We have strong links with other interdisciplinary centres such as:
• Sussex Neuroscience
• Sussex Digital Humanities Lab
• Sussex Centre for Consciousness Science.
• You’ll also benefit from our established industrial collaborations.
• When you graduate, you’ll enter a workplace with strong employer demand for skilled people in AI and data science.