Artificial Intelligence (AI) is changing how we live, work and socialise. This programme will expose you to all aspects of AI, from its fundamentals to cutting edge techniques, enabling you to work in this dynamic, fast-moving field. The University of Aberdeen has over 30 years’ experience, and a world-wide reputation in AI-related research, focusing on areas such as machine learning, data science, natural language generation, and multi-agent systems. Spin-out successes include ARRIA NLG, one of the world’s leading natural language generation companies. This programme covers the theoretical underpinning of a wide variety of AI-related techniques including data and text mining, machine learning (deep learning), reasoning, natural language generation, knowledge representation, and distributed AI systems as well as the technology, techniques, tools, software and methodologies used to apply these underlying theories to real-world problems. Students also learn how to engineer and evaluate AI systems. Our close industry links mean you will have opportunities to apply your skills through training and networking events and industrial placements organised through organisations such as the Data Lab, Intel AI Academy, IBM, Intelligent Plant, and Aberdeen City Council.
View all modules on the programme page to find out more about what you will be studying and when. University of Aberdeen modules are designed to give you breadth and depth to your master’s degree. The range of modules you study will allow you to become proficient in all subjects which are directly relevant to your degree giving you greater career options.
View the programme page to find out more about how you will be assessed. You can be assessed by coursework, written or oral examination, essays, your dissertation and other methods of assessment relevant to your subject. The University offers Student Support Advisors, personal tutors and peer mentoring to help you study towards the different methods of assessment.
How to apply
When you are thinking about studying overseas, it is important that you understand all the costs involved and budget accordingly. It is essential to budget for your studies prior to leaving your home country and to arrange all your funding for BOTH your tuition fees and your living costs. In addition, it is important to check all immigration requirements regularly and before travelling, as they can change. Students without the necessary visa will be refused entry to the UK. You should allow plenty of time to organise your visa and ensure you are aware of all your responsibilities under the terms and conditions of your visa. Please note that the advice provided via the University is the Student Visa category of the UK's Points Based Immigration Scheme. For further information, please visit the United Kingdom Visas and Immigration (UKVI) website: www.gov.uk/government/organisations/uk-visas-and-immigration.
Our minimum entry requirement for this programme is a Computing Science degree at 2:2 (lower second class) UK Honours level (or an Honours degree from a non-UK institution which is judged by the University to be of equivalent worth). Key subjects you must have covered: Python, Algorithmic problem solving and Data Structures. Programming experience in other languages, such as Java, C and C++, is recommended - but not required - to follow the courses taught in this programme. Applicants with a 2:2 or equivalent in Engineering (e.g. Electronic/Electrical Engineering) will be reviewed by the selectors for suitability on a case-by-case basis.
English language requirements
|IELTS (Academic)||6.5||Overall - 6.5 with: Listening - 5.5 or above; Reading - 5.5 or above; Speaking - 5.5 or above; Writing - 6.0 or above. IELTS Indicator or IELTS General Training are not accepted.|
|TOEFL (iBT)||90||TOEFL iBT and TOEFL Home Edition: Overall - 90 with: Listening - 17 or above; Reading - 18 or above; Speaking - 20 or above; Writing - 21 or above. DI code is 0818|
|PTE Academic||62||Overall - 62 with: Listening - 59 or above; Reading - 59 or above; Speaking - 59 or above; Writing - 59 or above. Online Test is not accepted|
|Institution's Own Test||Academic English Pre-sessional Programme (PSE) - Pass (valid for one year) Academic English Preparation Programme undertaken at other UK HEI - accredited by BALEAP and within 1 year of start of course|
To study for a postgraduate degree at the University of Aberdeen it is essential that you can speak, understand, read, and write academic English fluently. These skills will allow you to understand lectures, produce high standards of written work, and perform well in examinations. We can assess your English language proficiency through a variety of means: through your nationality, through the qualifications you gained in high school, through the degree you undertook or are undertaking at university, or through a recognised English language test. Postgraduate Standard requirements are used by the Schools of Biological Sciences; Engineering; Geosciences; Medicine, Medical Sciences and Nutrition; Natural and Computing Sciences; and Psychology. Please note certification must be within the two years prior to commencement of your course, unless otherwise stated.
Please use the checklist at the following webpage to determine how you can meet our English language requirements:
Fees and funding
|Republic of Ireland||£11900||Year 1|
|Northern Ireland||£11900||Year 1|
|Channel Islands||£11900||Year 1|
Additional fee information
Eligible self-funded international Masters students will receive the Aberdeen Global Scholarship. Visit our Funding Database to find out more and see our full range of scholarships: www.abdn.ac.uk/study/funding/. The University of Aberdeen provides an Alumni Discount Scheme: The University of Aberdeen is very pleased to offer a 20% discount on postgraduate tuition fees for all alumni who have graduated with a degree from the University of Aberdeen.