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, Postgraduate Diploma, Postgraduate Certificate
  • Start date January 2022, September 2022, January 2023
  • Duration September full-time 12 months; September part-time 24 months; January full-time 18 months
  • Mode of study Part-time, Full-time, Campus based, Stand-alone modules

Overview

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).

 

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
  • hands on experience with deep-learning based computer vision and natural languages processing algoithms
  • the ability to apply artificial intelligence solutions to real world problems and commercial tasks

Professional accreditation

Free Microsoft Azure accreditation

Students on this programme are offered the opportunity to take Microsoft accredited courses in addition to their academic study. The additional courses are free and include access to the Microsoft Azure platform and the course exam. This year we offered Azure AI Fundamentals. The courses take one week and are taught by university lecturers. Students who pass the course receive Microsoft accreditation, which is highly sought after in the job market.

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 graduate.admissions@stir.ac.uk 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 overview

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, detecting fake news, monitoring environments using satellite/drone imaging and IoT sensors, understanding marine eco-system and developing cybersecurity techniques.

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

Entry requirements

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.

Other routes of entry

If you don’t currently meet the academic requirements for this course, INTO University of Stirling offers a variety of preparation programmes that can earn you the qualifications and skills you need for direct entry.

Explore INTO Stirling programmes to see the pathway and pre-masters routes available for this course and others at the University of Stirling.

English language requirements

Due to disruption in English Language testing caused by COVID-19, we are accepting alternative English Language tests (including online English Language Tests).

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

  • IELTS Indicator 6.0 with a minimum of 5.5 in each sub-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) 60 overall with a minimum of 59 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
  • IBT TOEFL Special Home Edition Test 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
  • Aptis (4 skills) CEFR B2 overall and B2 in all sub-skills
  • Duolingo 95 overall with a minimum of 90 in all sub-skills
  • LanguageCert International ESOL B2 Communicator -  Pass with minimum 33 in each sub-skill

Last updated: 1 February 2021

If you are from India, Ghana or Nigeria please also check your country/region specific page for any additional, or changes to, English language requirements.

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.

Course details

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

Please note that for those interested in a January start, the duration of the course will be 20 months. For example, students starting in February 2021 will graduate in November 2022. This decision was made to allow students to learn flexibily and enhance other skills during the summer months when teaching is not available.

Modules

The module information below is intended only as an example of what you may study and features details for the current academic year (2021/22). Modules are regularly reviewed and are subject to future changes.

Course Details

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.

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

Fees and funding

Fees and costs

  2021/22 2022/23
Students from the UK£9,350£9,850
Students from the Republic of Ireland£9,350£9,850
Overseas (non-EU) students£20,845£21,345
European Union students£20,845£21,345

Students from the UK

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

If you need to extend your period of study or repeat study, you will be liable for additional fees.

If you are studying part time, the total course fee will be split over the years that you study. The total fee will remain the same and will be held at the rate set in your year of entry.

For more information on courses invoiced on an annual fee basis, please read our tuition fee policy.

Tuition fee loans

Scottish students may be eligible to apply to the Students Award Agency for Scotland (SAAS) for loans of up to £10,000 to cover tuition fees and associated living costs.

English students can apply for a loan of up to £11,570 each year as part of the Postgraduate Masters Loan Scheme.

Welsh students can apply for financial support of up to £18,025 as a combination of grant and loan from Student Finance Wales.

Northern Irish students can apply for a postgraduate tuition fee loan of up to £5,500 from Student Finance NI.

Students from the Republic of Ireland

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

If you need to extend your period of study or repeat study, you will be liable for additional fees.

If you are studying part time, the total course fee will be split over the years that you study. The total fee will remain the same and will be held at the rate set in your year of entry.

For more information on courses invoiced on an annual fee basis, please read our tuition fee policy.

European Union students

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

If you need to extend your period of study, you will be liable for additional fees.

If you are studying part time, the total course fee will be split over the years that you study. The total fee will remain the same and will be held at the rate set in your year of entry.

For more information on courses invoiced on an annual fee basis, please read our tuition fee policy.

Overseas students (non-EU)

We offer a range of funding options for overseas students.

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

If you need to extend your period of study, you may be liable for additional fees.

If you are studying part time, the total course fee will be split over the years that you study. The total fee will remain the same and will be held at the rate set in your year of entry.

For more information on courses invoiced on an annual fee basis, please read our tuition fee policy.

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.

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.

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.

European Union 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

After you graduate

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.

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
  • computer vision
  • advanced healthcare
  • financial technology (Fintech)
  • legal technology (Lawtech)
  • automotive (self driving cars)
  • social media

Changes at Stirling

Find out about important changes including how you'll be taught, start dates and how we're making campus safer.

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