Artificial Intelligence (MSc)

Why study this course
 

Learn the ethical and social impacts of AI technologies while developing your critical judgement, intellectual integrity and practical skills on client-facing projects.

This unique course provides specialist knowledge in areas such as automated reasoning, knowledge representation and machine learning. You also have the opportunity to customise your learning experience to suit your interests and career aspirations by choosing from a range of optional modules, professional work placements and projects.
 

High-performing graduates from this programme will be well-prepared for commencing a research career in AI.

 

This one-year degree falls under the umbrella of the Data Science Academy (DSA), run by the School of Computer Science and Informatics, in partnership with the School of Mathematics. You will benefit from the shared knowledge and skills of both Schools. However, your degree will still be run by the School of Computer Science & Informatics. 

Distinctive features

• This course incorporates project-based learning using real-world datasets and problems.

• You will have the opportunity to gain valuable work experience in professional work placements and projects with leading AI practitioners.

• Some of your modules will be taught in our newly-renovated Turing Suite.

• You will be provided with a laptop during induction week that will remain with you throughout the duration of the course.

• This course is informed by the most up-to-date research and co-designed by world-renowned AI researchers from the Knowledge and Reasoning Priority Area.

• You will be provided with a laptop during induction week that will remain with you throughout the duration of the course.

Academic requirements:

Typically, you will need to have either:

• a 2:1 honours degree in a relevant subject area such as computer science or computing, or an equivalent international degree
• or a university-recognised equivalent academic qualification.
   

If you have a 2:2 honours degree in computer science, computing or a cognate subject may be invited to participate in a telephone or remote interview.
 

English Language requirements:

IELTS with an overall score of 6.5 with 5.5 in all subskills, or an accepted equivalent.

Other essential requirements:

You may choose to supplement your application with:

• a detailed CV
• or any other supporting material you may consider to be appropriate.

Application deadline:

We allocate places on a first-come, first-served basis, so we recommend you apply as early as possible.

Selection process:

We will review your application and if you meet the entry requirements, we will make you an offer.

Fees for home status

 

Year	Tuition fee	Deposit
Year one	£10,200

 

Fees for overseas status

Year	Tuition fee	Deposit
Year one	£24,950	£1,000

Graduates from this programme will be ideally placed to develop careers as data scientists, artificial intelligence engineers, and data engineers.

Placements

Industrial partners are invited to support the delivery of a variety of modules by providing real data and problems to be addressed as part of coursework examination.