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MSc Artificial Intelligence

Our MSc Artificial Intelligence will give you the skills, knowledge and insights to join the global community of AI workers working in research, business or public life.

Artificial Intelligence

Key facts

  • Award Masters / MSc
  • Start date September
  • Duration MSc full-time: 12 months
  • Mode of study Campus based, Stand-alone modules

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.

  • Top reasons to study with us
  • Course objectives

    This course covers the theoretical underpinning of a wide variety of AI-related techniques including machine learning and deep learning, mathematics and statistics for data science, programming using Python, computer vision and natural language processing. The course also covers the technology, techniques, tools, software and methodologies used to apply these underlying theories to real-world problems.

    On this Masters course you’ll gain:

    • an in depth understanding of advanced analytics and machine learning topics
    • the ability to apply artificial intelligence solutions to real world problems and commercial tasks
  • Work placements

    The course offers placement opportunities in a form of a long summer project, generally in partnership with a company or technology provider.

  • Flexible learning

    If you’re interested in studying a module from this course, the Postgraduate Certificate or the Postgraduate Diploma, please email to discuss your course of study.

    If you’re interested in studying a module from this course, the Postgraduate Certificate or the Postgraduate Diploma then please email Graduate Admissions to discuss your course of study.

  • Research

    Our team of academics in the department of Computing Science and Mathematics are engaged in world leading research in fields such as complex systems modelling, computer vision, machine learning, optimisation and, of course, artificial intelligence. Our research is applied to real world problems such as providing food security, reducing disease, helping the blind live independently, improving airport efficiency and understanding how the human brain works.

    MSc. students become involved with our research through seminars and dissertation projects, which can lead to further study and ultimately a PhD.

  • Academic requirements

    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

    If English is not your first language you must have one of the following qualifications as evidence of your English language skills:

    • IELTS 6.0 with 5.5 in each skill
    • Cambridge C1 Advanced (CAE) 169 overall with a minimum of 162 in each sub-skill
    • Cambridge C2 Proficiency (CPE) 180 overall with a minimum of 162 in each sub-skill
    • Pearson Test of English (Academic) 54 overall with a minimum of 51 in each sub-skill
    • IBT TOEFL 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing
    • Trinity ISE II Pass overall 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

    Last updated: 5 December 2019

    For more information on ways that you can meet our English language requirements, including options to waive the requirement, please read our information on English language requirements.

  • Pre-sessional English language courses

    If you need to improve your English language skills before you enter this course, our partner INTO University of Stirling offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for entry to this degree.

    Find out more about our pre-sessional English language courses.

Key topics and technologies taught will be:

  • Mathematics and statistics for data science
  • Programming using Python
  • Applying AI to real world problems
  • Machine learning
  • Computer vision
  • Natural language processing
  • Deep Learning
  • Heuristic optimisation


The modules listed below are those currently intended for delivery in the next academic intake of this course. These may be subject to change as the University regularly revises and refreshes the curriculum of our taught programmes.

Course Details

  • Teaching

    There’s a real mix of practical technology sessions taught in labs and workshops along with lectures, seminars and tutorials teaching you the theories and skills you will need for your career.

    You’ll carry out a dissertation project using an artificial intelligence solution of your choice. With support from our staff, you’ll choose a specialist topic and become a real expert. You'll start with an in-depth analysis of the topic and its technology. Then you'll build a solution that will showcase your skills to employers and give you the knowledge to win a high level, high salary job.

    We have a programme of invited speakers from industry giving you the opportunity to ask questions of people who are doing data science every day.

  • Assessment

    This is a practical course and the assessment reflects that. Each module has an assignment and an exam, but the emphasis is on the course work.

  • Course director
  • Fees and costs

    Fees shown are per year (fees are different for each course)


    Home/EU Students

    Fees shown are for full-time, one-year Masters course*

    If you’re domiciled in Scotland, you may be eligible to apply to the Students Award Agency for Scotland (SAAS) for a loan of up to £10,000 to cover your tuition fees and associated living costs. Students domiciled in the EU can also apply for tuition fee support, although may not be eligible to receive funding to support living costs.

    If you're domiciled in England, Wales and Northern Ireland, you should be eligible to apply for a loan from your regional body.

    English students apply for a loan of up to £10,609 per year as part of the UK Postgraduate Loan Scheme, Welsh students can apply for a non-means tested loan of up to £13,000 from the Welsh Government and Northern Irish students are eligible to apply for support of up to £5,500.

    *Fees for students who apply for a Postgraduate Diploma or Postgraduate Certificate will be paid on a pro-rata basis.

    If the course is taken over two years then the fee will be split evenly over the two years. Fees are not pro-rated for students who enrol on a Masters course and decide to exit with a Postgraduate Diploma - the full fee is charged.


    Overseas (Non-EU) Students

    Fees shown are for full-time, one-year Masters course. Fees for students who apply for a Postgraduate Diploma or Postgraduate Certificate will be paid on a pro-rata basis.

    If the course is taken over two years then the fee will be split evenly over the two years. Fees are not pro-rated for students who enrol on a Masters course and decide to exit with a Postgraduate Diploma - the full fee is charged.


    Please note: You will be liable to pay tuition fees for every year you’re in attendance, and your fees will be held level upon entry. If you need to extend your period of study, you may be liable for an additional fee.

  • Scholarships and funding

    If you have the talent, ability and drive to study with us, we want to make sure you make the most of the opportunity – regardless of your financial circumstances.

    Learn more about available funding opportunities or use our scholarship finder to explore our range of scholarships.

  • Additional costs

    There are some instances where additional fees may apply. Depending on your chosen course, you may need to pay additional costs, for example for field trips. Learn more about additional fees.

  • Cost of living

    If you’re domiciled in the UK, you can typically apply to your relevant funding body for help with living costs. This usually takes the form of student loans, grants or bursaries, and the amount awarded depends upon your personal circumstances and household income.

    EU and overseas students won’t normally be able to claim living support through SAAS or other UK public funding bodies. You should contact the relevant authority in your country to find out if you’re eligible to receive support.

    Find out about the cost of living for students at Stirling

  • Payment options

    We aim to be as flexible as possible, and offer a wide range of payment methods - including the option to pay fees by instalments. Learn more about how to pay

In industry, Artificial Intelligence jobs are split between those that are advertised as an AI role and those where the role is a data scientist. Graduates from this course will be well placed for jobs in either of those fields.

report by the employment website, Indeed showed demand for Artificial Intelligence skills rising fourfold from 2014 to 2017. Gartner report that this emerging field will generate an extra 2.2 million jobs by 2020.

Artificial Intelligence is revolutionising sectors like marketing, finance, sport, manufacturing, healthcare and government. It is also a skill much sought after by the tech giants like Google, Facebook and Amazon. Graduates with an AI qualification will find employment in sectors such as:

  • business or customer analytics
  • robotics
  • advanced healthcare
  • financial technology (Fintech)
  • legal technology (Lawtech)
  • automotive (self driving cars)
  • cyber security
  • social media
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