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 School of Natural and Computing Science, in association with The Data Lab, is offering 9 scholarships to cover the cost of tuition for eligible Scotland-based* students commencing the MSc Artificial Intelligence programme in September 2021. *Find out more about the eligibility criteria...
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.
See how the courses are scheduled in our September and January start programmes in this infographic.
Why Study Artificial Intelligence?
The University of Aberdeen has a strong history and worldwide reputation in computing science, in particular around Data Science, Natural Language Generation and Artificial Intelligence.
Home to the research success of ARRIA NLG, the University has been ahead of the game in computing science research and teaching for years. Find out more about this hugely successful spin-out company and how it impacts on Artificial Intelligence -
The information below is provided as a guide only and does not guarantee entry to the University of Aberdeen.
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.
Please enter your country to view country-specific entry requirements.
English Language Requirements
To study for a Postgraduate Taught degree at the University of Aberdeen it is essential that you can speak, understand, read, and write English fluently. The minimum requirements for this degree are as follows:
OVERALL - 6.5 with: Listening - 5.5; Reading - 5.5; Speaking - 5.5; Writing - 6.0
OVERALL - 90 with: Listening - 17; Reading - 18; Speaking - 20; Writing - 21
OVERALL - 62 with: Listening - 59; Reading - 59; Speaking - 59; Writing - 59
Cambridge English B2 First, C1 Advanced, C2 Proficiency:
OVERALL - 176 with: Listening - 162; Reading - 162; Speaking - 162; Writing - 169
Read more about specific English Language requirements here.
You will be required to supply the following documentation with your application as proof you meet the entry requirements of this degree programme. If you have not yet completed your current programme of study, then you can still apply and you can provide your Degree Certificate at a later date.
an up-to-date CV/Resumé
a degree certificate showing your qualifications
a full transcript showing all the subjects you studied and the marks you have achieved in your degree(s) (original & official English translation)
a detailed personal statement explaining your motivation for this particular programme