menu icon
Computing (Artificial Intelligence and Machine Learning) MSc

Computing (Artificial Intelligence and Machine Learning) MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai)

Course type

Taught

Course Summary

This course focuses on artificial intelligence and knowledge engineering, as well as the development of computational and engineering models of complex cognitive and social behaviours. This taught postgraduate course is aimed at students who may not have studied computing exclusively, but who have studied a considerable amount of computing already. If you want to become a specialist in a particular area of computing, this course will provide a first crucial step towards that goal. This specialism focuses on artificial intelligence and knowledge engineering, and the development of computational and engineering models of complex cognitive and social behaviours. Study areas include: cognitive robotics, complexity, complex systems, computational finance, computer networks, and distributed systems. We also offer specialisms in: Computational Management; Security and Reliability; Software Engineering and Visual Computing and Robotics. Our MSc Computing Master's degrees are professionally accredited by the IET (Institute of Engineering and Technology).

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP

Modules

Introduces declarative relational programming using the logic based programming language, Prolog. Focus is on writing small Prolog applications an artificial intelligence dimension.
MSc Computing Science (Specialist) Individual Project (Summer) - Core

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£14,750

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£32,000

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students need to have a minimum requirement of first-class degree in a subject with a substantial computing component. They are required to sit GRE Quantitative Reasoning and Verbal Reasoning tests. There is no minimum requirement for GRE scores, though a strong application would include scores higher than 159 for Quantitative Reasoning and higher than 145 for Verbal Reasoning.