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Artificial Intelligence at University of Surrey - UCAS

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Course summary

Why choose this course Our Artificial Intelligence MSc stands apart as the sole programme of its kind in the UK. It draws on the profound knowledge of our pan-University Institute for People-Centred AI (PAI) and the Centre for Vision, Speech and Signal Processing (CVSSP), both top-ranked for AI research: No. 1 in the UK for computer vision. The programme is designed to provide students with a comprehensive understanding of artificial intelligence (AI) by incorporating a wide range of core topics. On this programme, you will study: -Technical subjects, such as computer vision, natural language processing and audio analysis, to develop strong technical expertise -Application-specific areas, such as health and the metaverse, to ensure you develop specialised knowledge in emerging AI fields -Regulatory and legal aspects of AI, to equip you with a critical understanding of the ethical and legal considerations that will shape the future of AI. The growth of AI is rapidly changing the way we live, work and learn. However, there’s a real shortage of AI talent worldwide, both to serve the industry and to drive future research. This course will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research. What you will study This one-year full-time MSc will teach you about fundamental AI concepts and the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in key AI topics and applications. You’ll gain experience with cutting-edge tools such as deep neural networks (DNN), recurrent neural networks (RNN) and deep reinforcement learning (deep RL) through regular hands-on exercises and practical labs. The course consists of technical modules delivered by our School of Computer Science and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You’ll also undertake a year-long project on an AI topic that interests you. You’ll be supervised throughout the project by an academic specialising in your chosen subject area.

Modules

To see the full range of modules for this course please visit our website – the link is under the Course contact details. You will also find full details of the programme, including programme structure and Graduate prospects etc.

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • Engineering and Technology, Institution of

How to apply

International applicants

We are proud to be one of the most culturally diverse universities in the UK, with more than 140 nationalities playing a role in university life. Our International Recruitment team are here to help you throughout the application process – from advising on choosing the right course to applying for a visa and preparing for your first few weeks at Surrey. You can contact them via [email protected] Applicants who require a Student Visa to study in the UK: To apply for a Student Visa, you must have a Confirmation of Acceptance (CAS) for the University you wish to study at. This is a unique number which will enable you to apply for your visa. The University is under no legal obligation to sponsor any individual and exercises caution with respect to issuing a Confirmation of Acceptance for Studies (CAS) to avoid risking its status as a Student sponsor. Confirmation of Acceptance to Study (CAS) will be issued in accordance with the Student Route and CAS Issuing Policy, available at: https://www.surrey.ac.uk/apply/policies

Entry requirements

A minimum of a 2:2 UK honours degree in communication engineering, computer engineering​, computer science​, electronic and computer engineering​, electronic engineering​, information and communication technologies, information systems engineering, maths​, physics, telecommunication engineering​, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. English language requirements IELTS Academic: 6.5 overall with 6.0 in writing and 5.5 in each other element.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

FEES: For current information regarding postgraduate fees, please visit the course page on our website. The link is under Course contact details. SCHOLARSHIPS AND BURSARIES: Discover how we may be able to support your postgraduate taught studies with a host of bursaries and scholarships directly from the University of Surrey and external providers: https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries?field_student_level_value[postgraduate]=postgraduate

Sponsorship information

The University of Surrey offers a range of scholarships and bursaries to support our students, please visit https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries for more details.

Artificial Intelligence at University of Surrey - UCAS