Artificial Intelligence (AI) is currently enjoying a period of great interest due largely to advances in data driven AI and machine learning. Technologies such as self-driving cars, intelligent assistants (like Alexa), and AI health care have made AI an increasingly everyday technology, and one that will revolutionise the way we live and work in the years to come. Modern AI is concerned with giving computers human-like abilities such as sight, learning, conversation and creativity. AI is a popular topic to study because there is a growing jobs market for AI and Data Science skills and because it is an exciting new field of computing. Our data driven MSc Artificial Intelligence course capitalises on the success of well-established postgraduate courses in Big Data and Data Science for Business preparing industry ready graduates sought after by AI companies. The University of Stirling is associated with The Data Lab, an Innovation Centre that aims to develop the data science talent and skills required by industry in Scotland. It also supports our students with funding, networking and routes into employment. We also have close links with the Scottish Informatics and Computing Science Alliance (SICSA).
A minimum of a second class honours degree or equivalent. Applicants without these formal qualifications but with significant appropriate/relevant work/life experience are encouraged to apply.
English language requirements
|IELTS (Academic)||6||With 5.5 in each skill|
|PTE Academic||54||With a minimum of 51 in each sub-skill|
|TOEFL (iBT)||78||With a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing|
|Trinity ISE||Pass||With a Pass in each sub-skill, ISE III Pass overall and in all sub-skills, ISE IV Pass overall and in all sub-skills|
Fees and funding
No fee information has been provided for this course
Additional fee information
For information on funding and scholarships, please see here: https://www.stir.ac.uk/study/fees-funding/postgraduate-loans-and-funding/
University of Stirling
Course contact detailsVisit our course page