Artificial Intelligence MSc
    Duration1 year(s)
    Tuition Fee
    GBP 23,737 / year(s)
    Next IntakeSeptember 1, 2026

    Artificial Intelligence MSc

    About

    What you'll study

    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 learn to understand fundamental AI concepts. You will study universal machine learning tools essential for any AI job profile, as well as specific practical and research skills across various AI topics.

    You will gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Deep Reinforcement Learning (Deep RL), and Large Language Models (LLMs) through regular exercises and practical labs. You will work closely with your lecturers and supervisors to carry out a major project on the AI topic you wish to specialise in.


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

    All students will study a set of compulsory modules that cover the fundamentals of machine learning, artificial intelligence, natural language processing, and ethics, regulation, and law in digital information processing and decision making.

    In addition to the compulsory modules, you will choose one educational stream of elective modules during Welcome Week, based on your interests.

    Professional Recognition

    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. It 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.

    In addition, this degree is accredited by the Institution of Engineering and Technology on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.

    Disciplines

    School of Electronic Engineering and Computer Science - Department of Computer Science

    Requirements

    Entry Requirements

    Saudi Arabia
    We normally consider the following qualifications for entry to our postgraduate taught programmes: Bachelor Degree from a recognised institution.

    UK 1st class degree: GPA 4.75 out of 5.0; or GPA 3.75 out of 4.0
    UK 2:1 degree: GPA 3.75 out of 5.0; or GPA 3.0 out of 4.0
    UK 2:2 degree: GPA 3.0 out of 5.0; or GPA 2.4 out of 4.0

    English Requirements

    • PTEMin 62
    • IELTSMin 6.5
    • TOEFLMin 92

    English Program Requirements

    The English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is administered. Note that for some academic departments there are programmes with non-standard English language requirements. The English Language requirements for entry to postgraduate taught and research programmes in the School of Electronic Engineering and Computer Science falls within the following English band: Band 4: IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking We accept a range of English tests and qualifications categorised in our English bands for you to demonstrate your level of English Language proficiency. See all accepted English tests that we deem equivalent to these IELTS scores.

    Career

    Career paths

    The demand for qualified experts in artificial intelligence is high; AI jobs are amongst the best paid in the industry, and a solid background in AI is highly desirable in many research disciplines.

    Software Developer/Engineer, Data Scientist and Data Engineer are occupations that have seen a significant growth in demand for AI skills, according to a recent report from Lightcast. AI skills will also be integral for many 'jobs of the future' emerging across a diverse range of fields, including health, agriculture and the creative industries.

    100% of graduates from this programme are in highly skilled employment 15 months after graduation.   The average salary of these graduates is £48,219. 
    The types of roles they have gone into include: Data Engineer, Machine Learning Engineer, Software Engineer, AI research Specialist, Application Engineer, Data Analyst
    At companies such as: Amazon Web Services, Cerno Health, Fitch Ratings Ltd, Grid Edge Ltd, JP Morgan Chase and Co, Kloflett, Lingio, McKinsey and Company, Play N' Go, Wireless Coverage Ltd.

    This data was taken from Graduate Outcomes Survey 2021/22
    • 100% of graduates in highly skilled employment 15 months after graduation. 
    • £48,219 Average salary 15 months after graduation.

    Fee Information

    Tuition Fee
    23,737 / year(s)

    Artificial Intelligence MSc

    Queen Mary University of London

    Queen Mary University of London

    United Kingdom

    United Kingdom, London