MSc Artificial Intelligence
University of Surrey
Key Information
Campus location
Guildford, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 - 5 year
Pace
Full time, Part time
Tuition fees
GBP 24,400 / per year *
Application deadline
01 Jul 2024
Earliest start date
Sep 2024
* for full-time Overseas students | full-time UK students: £10,900 | part-time UK students: £1,200/15 credits; overseas students: £2,700/15 credits
Introduction
Why Choose This Course
Our Artificial Intelligence MSc stands apart as the sole program of its kind in the UK. It is designed to provide students with a comprehensive understanding of artificial intelligence (AI) by incorporating a wide range of core topics. In this program, 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 specialized 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 capitalize 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 specializing in your chosen subject area.
Admissions
Curriculum
Academic Year Structure
If you’re studying this course full-time, you’ll study eight modules across the year – four in each semester. You will work on your project full-time during the summer period for approximately two and a half months, whilst prior to that during semester time you will work on the initial stages of the project part-time and complete an interim report. This means that if you begin your course in February, you will complete your project between the two semesters, while if you begin your course in September, you will complete your project after the two semesters.
You can also study this MSc part-time, taking between two and five years. The length depends on how many modules you study each year. You can study between two and six modules each year. We recommend part-time students work on their project in their final year of study when all eight modules have either been completed or are near completion.
Modules
Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand, and/or class size caps.
The University operates a credit framework for all taught programs based on a 15-credit tariff. Modules can be either 15, 30, 45, 75, or 120 credits, and additionally for some masters dissertations, 90 credits.
The structure of our programs follows clear educational aims that are tailored to each program. These are all outlined in the program specifications which include further details such as the learning
Year 1
Full-time
- AR, VR And The Metaverse
- Computer Vision And Pattern Recognition
- Ethics And Regulation Of Artificial Intelligence
- Fundamentals Of Machine Learning
- Speech & Audio Processing & Recognition
- Topics In People-centred AI
- Advanced Topics In Computer Vision And Deep Learning
- AI And AI Programming
- AI and Health
- Applied Machine Learning
- Innovation Management
- Law, Artificial Intelligence, And Technology
- Natural Language Processing
- 60 Credit Standard Project
Part-time
- Ar, Vr And The Metaverse
- Computer Vision And Pattern Recognition
- Ethics And Regulation Of Artificial Intelligence
- Fundamentals Of Machine Learning
- Speech & Audio Processing & Recognition
- Topics In People-centred Ai
- Advanced Topics In Computer Vision And Deep Learning
- Ai And Ai Programming
- Ai And Health
- Applied Machine Learning
- Innovation Management
- Law, Artificial Intelligence, And Technology
- Natural Language Processing
- 60 Credit Standard Project
Timetable
Course timetables are normally available one month before the start of the semester.
New students will receive their personalized timetable in Welcome Week, and in subsequent semesters, two weeks prior to the start of the semester.
Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week (Monday – Friday). Wednesday afternoons are normally reserved for sports and cultural activities. Part-time classes are normally scheduled on one or two days per week, details of which can be obtained from the Academic Hive.
Gallery
Scholarships and Funding
About the Discounts for Surrey Graduates 2023 entry
If you are a fully self-funded Home or International student who has studied for an undergraduate degree at the University of Surrey campus in Guildford, you may be eligible for a 20 percent discount on our taught postgraduate masters program fees.
The discount applies to:
- September/October 2023 entrants
- February 2024 entrants
- February 2024 entrants. Note: if applicable and Masters's programs are running with a February intake for the 2023/24 academic year.
- This scheme is only open to 2023 postgraduate taught entry students who are not in receipt of any external sponsorship.
Postgraduate Master's Loans
A Postgraduate Master’s Loan can help with course fees and living costs while you study a postgraduate course.
What you'll get
You can get up to:
- £12,167 if your course starts on or after 1 August 2023
- £11,836 if your course started between 1 August 2022 and 31 July 2023
- £11,570 if your course started between 1 August 2021 and 31 July 2022
- £11,222 if your course started between 1 August 2020 and 31 July 2021
- £10,906 if your course started between 1 August 2019 and 31 July 2020
- £10,609 if your course started between 1 August 2018 and 31 July 2019
This loan is non-means tested, i.e. the amount you can request is not dependent on your or your family's income. Your loan can be used towards the cost of your course fees and living expenses.
Eligibility
To be eligible, you will need to meet several eligibility criteria set by the Government including residency, age, and course. See the full eligibility criteria.
Not all courses at the University of Surrey are eligible for postgraduate loan funding, for example, unstructured, part-time, or distance learning courses where the maximum period of registration is five years are not eligible.
Contact the Student Records team for more information on whether your course is eligible.
Repayment
You’ll repay your postgraduate loan using a percentage of your income. Once you are earning more than £21,000 a year (or £1,750 a month), you’ll pay six percent of the amount you earn above the £21,000 threshold.
You’ll be charged interest from the day you get the first payment.
Get more information on repaying your postgraduate loan.
How to apply
The quickest and easiest way to apply is through the Government's Postgraduate Master's Loans website.
Receiving your loan
To receive the first payment of your loan, you’ll need to have fully completed registration with the University (which includes part payment of tuition fees).
You get the first payment after your course start date, once your university or college confirms that you’ve registered.
There are specific rules around students who transfer or repeat the study and how this affects eligibility. For further information, please contact the Student Records team.
If you have been accepted for the Postgraduate Master's Loan, and are having difficulties in paying your fees before your first installment is due, please contact our Student Finance team once you’ve received a tuition fee invoice.
Please be aware this page is a summary correct as of January 2023. For full details, please visit the Government website.
Career Opportunities
We offer career information, advice, and guidance to all students whilst studying with us, which is extended to our alumni for three years after leaving the University. Our graduates have lifetime access to Surrey Pathfinder, our online portal for appointment and event bookings, jobs, placements, and interactive development tools.
Our graduates have numerous opportunities in AI-driven businesses such as Google, Facebook, Amazon , and Samsung, as well as roles in the mobile and gaming industries.
More specifically, our MSc will equip you for a wide range of roles such as:
- AI scientist at a global technology company (e.g. Facebook, Google, Samsung)
- AI analyst in finance/banking and other jobs requiring a systematic understanding of AI
- Entrepreneurial roles (e.g. business start-ups focused on AI technology)
- Industry-sponsored PhD studentship at the cutting edge of AI research.
97 percent of our electrical and electronic engineering postgraduate taught students to go on to employment or further study (Graduate Outcomes survey 2023).
Facilities
Program Tuition Fee
English Language Requirements
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