Artificial Intelligence, MSc

Artificial Intelligence, MSc

Introduction

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.

Study Information

Study Options

Learning Mode
On Campus Learning
Degree Qualification
MSc
Duration
12 months, 15 months or 24 months
Study Mode
Full Time or Part Time
Start Month
September or January
Location of Study
Aberdeen

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.

Available Programmes of Study

We will endeavour to make all course options available; however, these may be subject to timetabling and other constraints. Please see our InfoHub pages for further information.

Fee Information

Additional Fee Information

  • Fees for individual programmes can be viewed in the Programmes section above.
  • In exceptional circumstances there may be additional fees associated with specialist courses, for example field trips. Any additional fees for a course can be found in our Catalogue of Courses.
  • For more information about tuition fees for this programme, including payment plans and our refund policy, please visit our InfoHub Tuition Fees page.

Funding Opportunities

The School of Natural and Computing Science, in association with The Data Lab, is offering 4 scholarships to cover the cost of tuition for students Scottish Government’s Residency conditions commencing the MSc Artificial Intelligence programme in September 2022. Find out more...

Scholarships

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.

How You'll Study

Learning Methods

  • Group Projects
  • Individual Projects
  • Lectures
  • Peer Learning
  • Research
  • Tutorials
  • Workshops

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 -

http://blog.arria.com

Entry Requirements

Qualifications

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:

IELTS Academic:

OVERALL - 6.5 with: Listening - 5.5; Reading - 5.5; Speaking - 5.5; Writing - 6.0

TOEFL iBT:

OVERALL - 90 with: Listening - 17; Reading - 18; Speaking - 20; Writing - 21

PTE Academic:

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.

Document Requirements

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.

CV
an up-to-date CV/Resumé
Degree Certificate
a degree certificate showing your qualifications
Degree Transcript
a full transcript showing all the subjects you studied and the marks you have achieved in your degree(s) (original & official English translation)
Personal Statement
a detailed personal statement explaining your motivation for this particular programme

Careers

There are many opportunities at the University of Aberdeen to develop your knowledge, gain experience and build a competitive set of skills to enhance your employability. This is essential for your future career success. The Careers and Employability Service can help you to plan your career and support your choices throughout your time with us, from first to final year – and beyond.

What our Alumni Say

Swarada Adavadkar

Swarada Adavadkar

Swarada Adavadkar

Job Details
Data Science Specialist, James Fisher Asset Information Systems
Graduated 2019

Other than technical skills, the degree programme has also helped me in developing my critical thinking and problem-solving skills. The degree programme also gave me an opportunity to develop a self-motivated and analytical approach towards the project work. I would also like to mention that the invaluable guidance on the fundamentals and project work, provided by the professors with strong academic profiles, has definitely contributed to shaping my career.

Our Experts

Director
Dewei Yi

Information About Staff Changes

You will be taught by a range of experts including professors, lecturers, teaching fellows and postgraduate tutors. Staff changes will occur from time to time; please see our InfoHub pages for further information.

Get in Touch

Contact Details

Address
Student Recruitment & Admissions
University of Aberdeen
University Office
Regent Walk
Aberdeen
AB24 3FX