Apply for September 2022 entry

MSc Advanced Computer Science with Artificial Intelligence

Upcoming information sessions for MSc programmes in Advanced Computer Science: Wed 25 May & Thu 9 June.

Key facts

  • Start date: September
  • Study mode and duration: 12 months full-time
  • Scholarships: fully funded places available; please see fees & funding tab

  • Guest lectures from leading employers and expert alumni

Study with us

Studying an MSc in Advanced Computer Science with Artificial Intelligence at the University of Strathclyde, you'll be learning at an award-winning academic institution - the only University to have won the Times Higher Education University of the Year award twice (2012/2019).

  • an advanced Masters degree for graduates with significant programming experience and a degree in computer science or a related discipline
  • choose from a broad range of optional modules to match your interests and career aspirations

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Why this course

Artificial intelligence is found in all aspects of modern society, from the technologies that underpin the economy and how we work, to recreation, healthcare and even the natural environment. Its potential applications are growing daily.

Our MSc in Advanced Computer Science with Artificial Intelligence has been designed to meet the growing worldwide demand for skilled computer science professionals who have expertise in artificial intelligence.

Throughout our MSc you’ll develop an understanding of how artificial intelligence algorithms and technologies are designed, developed, optimised and applied to meet business objectives.

You’ll learn to use a range of software systems that can be used to build reliable, scalable and quality artificial intelligence solutions, and how to apply rigorous AI methodologies through experimental design and exploratory modelling.

You’ll also study the ethics of artificial intelligence applications and how different applications require different AI technologies.

The MSc programme will develop your expertise in many of the most widely used artificial intelligence techniques and applications. You'll also have the opportunity to choose from a wide range of optional modules to tailor your Masters degree to meet your academic interests and career aspirations.

Graduates of the programme will have acquired the key skills to enable a successful career as an AI practitioner, advanced problem analysis and evaluation skills, and the ability to evaluate and communicate the results of artificial intelligence interventions to non-expert stakeholders.

Concept of a futuristic computer made of small cells600x600

THE Awards 2019: UK University of the Year Winner

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If you want to know more about what it’s like to be a Science student at the University of Strathclyde, a selection of our current students are here to help!

Our Unibuddy ambassadors can answer all the questions you might have about courses and studying at Strathclyde, along with offering insight into their experiences of life in Glasgow and Scotland.

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Course content

You’ll study two eleven-week semesters, each with three to four modules.

Each module typically has four hours of lectures, laboratory practicals and/or tutorials, with additional study time required to enhance and apply your understanding of the topics covered through further reading, self-directed study and assignments.

Between June and August, you'll undertake an in-depth three-month research project.

Legal, Ethical & Professional Issues for the Information Society

This class ensures you are aware of the legal, social, ethical and professional issues commensurate with the practice of artificial intelligence as well as, more broadly, information and data science.

Quantitative Methods for Artificial Intelligence

Underlying artificial intelligence there are a lot of quantitative methods such as linear algebra, probability, statistics, and calculus. This course will give you the necessary background in these topics.

Deep Learning Theory & Practices

This module provides an understanding of the key algorithms and techniques for deep learning, as well as an understanding of the limitations of the current technologies and their future trends.

Planning with Uncertainty

In order for a system to be regarded as autonomous, it has to make its own decisions about what actions to take in the world. In order for these to be regarded as intelligent decisions, the actions the system takes have to lead to desirable states of the world. This in turn requires two things: that the world and possible actions be represented somehow and that the system can deliberate about possible courses of action. This class will cover this crucial and fundamental area of artificial intelligence.

Deep Learning in Visual Computing Applications

This module will cover an in-depth application of neural networks including convolutional neural networks (CNN), recurrent neural networks (RNN) and deep neural networks.  Using these methods, the module will also explore topics such as visualisation of features, model explainability, object detection, image segmentation and image generation.

Game Theory & Multi-agent Systems

This class will cover core game theory topics and AI-specific extension topics. Example topics include reinforcement learning for real-world “game” play e.g AlphaStar, and the behaviour of pricing algorithms interacting in a market.

Research Methods

This module aims to provide you with an understanding of both quantitative and qualitative research processes and associated techniques, including the effective presentation of findings in accordance with the best principles of scholarship

You can choose 30 credits of elective classes from the following options to tailor your studies to your personal and career aspirations.

Mobile Software & Applications (20 credits)

This module aims to develop an understanding of the underpinning theories, paradigms, algorithms and architectures for building software applications to function in mobile computing environments.

AI for Finance (20 credits)

This class provides an overview of the application of AI techniques including those which mimic natural evolutionary processes (genetic algorithms and genetic programming in particular) to a range of financial applications such as forecasting, portfolio optimisation and algorithmic trading.

Distributed Information Systems (20 credits)

This module aims to help you develop an extended understanding of the deep technical issues underlying information systems in the particular context of distributing content over the world-wide web.

Fundamentals of Machine Learning for Data Analytics (10 credits)

The aim of this class is to equip you with a sound understanding of the principles of machine learning and a range of popular approaches, along with the knowledge of how and when to apply the techniques. The class balances a solid theoretical knowledge of the techniques with practical application via Python (and associated libraries). You are expected to be familiar with the language.

Information Retrieval (10 credits)

This class provides an overview of the field of information retrieval and explains how search systems and search engines work.

Business Analysis (10 credits)

This class aims to provide tools and techniques for the effective analysis and design of business information systems and enables you to develop an understanding of their respective advantages, disadvantages and applicability.

Evolutionary Computation For Finance 1 (10 credits)

This class provides an overview of the application of evolutionary computation techniques – those which mimic natural evolutionary processes (genetic algorithms, genetic programming and neural networks in particular) – to a range of financial applications such as forecasting and portfolio optimisation. This class cannot be combined with the AI for Finance elective.

Big Data Tools & Techniques (10 credits)

The aim of this module is to provide an understanding of the new challenges posed by the advent of big data, as they refer to its modelling, storage, and access; and an exposure to a number of different big data technologies and techniques, to show how they can achieve efficiency and scalability while also addressing design trade-offs and their impacts.

Over the summer semester, from June until August, you will undertake a significant project containing an element of original research, supervised by one of our expert academics.

Your project will be AI-application based (i.e. analysing, specifying, building and evaluating an AI-application or demonstrator, and forming recommendations and conclusions on the relative merits of the technologies involved and the methodologies used).

We will also have a range of projects available that are sponsored by our staff based on their latest research, and many that come direct from the employers we work with, representing real-world problems they are trying to solve.

Learning & teaching

Our teaching and learning methods include lectures, tutorials, laboratory practicals and combinations of individual and group work. These will not only develop your expertise in computer science and artificial intelligence, but also in communication, team-working and analytical skills which are all essential skills for your future career.

You’ll have regular contact with our expert staff, many of whom as well as being leading international researchers have been nominated for, and won, teaching awards based on nominations by our students.


Assessment is through a combination of individual work, group work, exams and practical work in laboratories. Around half the classes are assessed entirely by coursework, the others are a combination of coursework and examination.

The Queen's Anniversary Prizes for Higher and Further Education 2019 and 2021.
The Queen's Anniversary Prizes for Higher and Further Education 2019 and 2021.
The Times / The Sunday Times Good University Guide 2021. University of the Year shortlisted.
The Times / The Sunday Times Good University Guide 2021. University of the Year shortlisted.
The Times & Sunday Times Good University Guide 2020 - Scottish University of the Year.
The Times & Sunday Times Good University Guide 2020 - Scottish University of the Year.
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Entry requirements

Academic requirements / experience

Minimum second-class honours degree or international equivalent in computer science or a closely related discipline.

Significant programming experience, preferably in Java or another object-oriented language. Evidence should be uploaded to your application; degree transcript or a detailed CV if your degree is over five years old.

Other disciplines who have significant programming experience should contact us to discuss applying for this course.

English language requirements

You must have an English language minimum score of IELTS 6.0 (with no component below 5.5).

We offer comprehensive English language tuition for students whose IELTS scores are below 6.0. 

As a university, we now accept many more English language tests other than IELTS for overseas applicants, for example, TOEFL and PTE Cambridge. View the full list of accepted English language tests here.

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course held at the University of Strathclyde International Study Centre, for international students (non EU/UK) who do not meet the academic entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.

Upon successful completion, you'll be able to progress to this degree course at the University of Strathclyde.

International students

We've a thriving international community with students coming here to study from over 100 countries across the world. Find out all you need to know about studying in Glasgow at Strathclyde and hear from students about their experiences.

Visit our international students' section

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Fees & funding

All fees quoted are for full-time courses and per academic year unless stated otherwise.

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England, Wales & Northern Ireland




Available scholarships

Data Lab Scholarship for MSc Advanced Computer Science with Artificial Intelligence

Four fully funded scholarships are available to new students with 'Home' tuition fee in September 2022. These scholarships have been made possible with funding from The Data Lab, Scottish Funding Council and the European Social Fund. Apply for the Data Lab Scholarship.

Take a look at our scholarships search for funding opportunities.

Additional costs

International students may have associated visa and immigration costs. Please see student visa guidance for more information.

Please note: the fees shown are annual and may be subject to an increase each year. Find out more about fees.

How can I fund my course?

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Scottish postgraduate students

Scottish postgraduate students may be able to apply for support from the Student Awards Agency Scotland (SAAS). The support is in the form of a tuition fee loan and for eligible students, a living cost loan. Find out more about the support and how to apply.

Don’t forget to check our scholarship search for more help with fees and funding.

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Students coming from England

Students ordinarily resident in England may be to apply for postgraduate support from Student Finance England. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Find out more about the support and how to apply.

Don’t forget to check our scholarship search for more help with fees and funding.

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Students coming from Wales

Students ordinarily resident in Wales may be to apply for postgraduate support from Student Finance Wales. The support is a loan of up to £10,280 which can be used for both tuition fees and living costs. Find out more about the support and how to apply.

Don’t forget to check our scholarship search for more help with fees and funding.

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Students coming from Northern Ireland

Postgraduate students who are ordinarily resident in Northern Ireland may be able to apply for support from Student Finance Northern Ireland. The support is a tuition fee loan of up to £5,500. Find out more about the support and how to apply.

Don’t forget to check our scholarship search for more help with fees and funding.

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International students

We've a large range of scholarships available to help you fund your studies. Check our scholarship search for more help with fees and funding.

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Graduates will have developed the expertise to pursue a career directly in the applications of artificial intelligence, a field where skilled graduates are well-paid and in high demand. You can look forward to careers designing and building the digital technologies that underpin the global economy and, indeed, every aspect of human activity from recreation to healthcare to business.

Artificial Intelligence skills are also becoming increasingly important across multiple industries and graduates will be well equipped to pursue a career in a multi-disciplinary setting where a combination of their existing skills, artificial intelligence knowledge and analytical skills will be required.

Throughout the programme there will be opportunities for you to meet industry employers and take part in recruitment events, in addition to taking advantage of a wealth of support offered by our award-winning careers service.

We have a dedicated careers fair for our computer science and information management students each year, with over 30 leading companies, including:

  • Amazon
  • JP Morgan
  • Morgan Stanley
  • British Telecom
  • Bridgeall
  • Kana
  • Skyscanner
  • ThinkAnalytics

Example roles

Job market analysis shows that the most in-demand key skills include big data, machine learning and neural networks, all of which are central to this degree. Example roles could include:

  • AI professional: businesses have a range of needs for which they need AI professionals. This can include to do things like deploy state of the art AI chatbots, developing image classifiers, creating computer vision applications or planning for autonomous vehicles. This degree provides you with the core skills to be able to deliver these needs.
  • Data Scientist: businesses generate huge amounts of data every day and all want to clean that data, understand that data, extract information from that data and turn that information into information to drive the business forward. This degree gives you exactly the skills needed to perform these roles.
  • Software developer: as a software developer you'll be playing a key role in the design, installation, testing and maintenance of the AI-technologies that are set to transform the world.
  • Business/policy analyst: as a business/policy analyst you will identify improvements which can be made to organisational systems using artificial intelligence, write specifications for their modification and enhancement, and be involved in the design of new IT solutions to improve business efficiency.
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There is currently no deadline for submitting applications. However, we encourage you to apply early as we consider applications on a first come, first served basis, and may introduce an application deadline due to high demand.

Please ensure you upload evidence to support your programming experience; degree transcript and/or detailed CV if your degree is over five years old.

Start date: Sep 2022

Advanced Computer Science with Artificial Intelligence

Start date: Sep 2022

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Contact us

PGT Admissions Team

Telephone: +44 (0)141 574 5147


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Gallery of Modern Art, Royal Exchange Square.