MSc Artificial Intelligence

This MSc allows you to focus your studies and combine different AI topics to suit your personal requirements and future plans. Our world-class teaching, research and industrial contacts will support you as you understand fundamental AI concepts. You will study universal machine learning tools essential for any AI job profile, and specific practical and research skills on all five of the AI topics.

You will gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), and Deep Reinforcement Learning (Deep RL) via regular exercises and practical labs.

You will work closely with your lecturers and supervisors to carry out a major project on the AI topic that you want to specialise in.

The MSc Artificial Intelligence (AI) is structured in three different streams.

All students studying MSc Artificial Intelligence will study a set of compulsory modules that teach the fundamentals of probability, statistics, machine and deep learning, an overview of AI and how it fits in society, and ethics and regulations for the best approaches for AI and data science. Therefore, no matter the stream you choose, you’ll learn the following:

Elective modules on this programme will be split into three educational streams. Each stream will offer you a range of specialised elective modules which are industry focussed and research-orientated. 

During Welcome Week, you will be asked to choose one education stream of elective modules which you will choose according to your interests.

This degree is accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. 

This degree is also accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer.

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£31,850 Per Year

International student tuition fee

1 Year

Duration

Sep 2024

Start Month

Aug 2024

Application Deadline

Upcoming Intakes

  • September 2024
  • September 2025

Mode of Study

  • Full Time