From driverless cars to voice recognition, Artificial Intelligence (AI), is progressing at a rapid rate and has become part of our everyday lives. With the research and development of new technologies, AI is fast becoming an essential part of how businesses and institutions operate. It is also becoming a vital part of the Industry 4.0 vision with the government estimating that AI could contribute £232bn to the UK economy by 2030.
On our MSc Artificial Intelligence course, you’ll be taught by academics who are experts in the area, many of whom are currently conducting research into the subject as part of our Centre for Advanced Computational Science research group. This ensures that our curriculum is based on research-informed content at the leading edge of this fast-paced field.
This course will build on your existing computing knowledge. We aim to equip you with the fundamental principles of AI to be able to critically evaluate the theories, techniques, tools and systems used in the field. And the interdisciplinary applications, allowing you to specialise in this exciting, developing area.
You’ll also complete an in-depth masters project with the support of our academic and technical team. By the time you complete our postgraduate degree in AI, you’ll be well placed to succeed in this high growth industry and ready to tackle the challenges facing businesses.
Features and benefits
Excellent facilities – The department has an extensive range of equipment in our own specialist laboratories, together with the support of our dedicated technical staff.
Qualification with prospects – Qualification with prospects follow in our MSc graduates’ footsteps, charting a career path in a wide range of industries, or going on to study at the PhD level.
Leading research – Our research is rated ‘internationally excellent’ with some rated ‘world-leading’ in the 2014 Research Excellence Framework (REF).
Thriving technology sector – Manchester is home to one of the largest creative and digital technology sectors outside of London, making us well placed to deliver this course.
Institute of Coding - The Department of Computing and Mathematics is part of the new £40m national Institute of Coding (IoC). Our master's students will have access to the IoC’s cutting-edge computer lab to hone their skills in this area.
Professional standards – We’re an academy for the Computer Technology Industry Association (CompTIA) - we deliver their partner programme which provides a pathway for students towards a rewarding, high-growth IT career.
Optional placement year – Boost your career prospects and put theory into practice with an industry placement.
On our MSc Artificial Intelligence course, you’ll study nine core units covering areas such as advanced machine learning, the ethics of artificial intelligence, knowledge representation and reasoning, and robotics science. You can choose to study the course full-time over one year, or part-time, where you’ll complete the units over two years. You may also choose to take an additional one-year optional industry placement on the full-time route.
In the course, you will gain an understanding and practical application of data analysis technologies and a range of machine learning paradigms to build models and develop transferable computational and statistical skills for model evaluation. Being focal points of the Industry 4.0 vision, you’ll also explore the design and development of robotics science and systems and how they can meet diverse human needs.
You’ll examine different algorithmic approaches and consider algorithm complexity and efficiency through practical implementation. You’ll also focus on the algorithms which allow computers to ‘learn’ by exploring topics such as neural networks and genetic algorithms.
You will gain an appreciation for human-centred AI through examining legal, social, cultural and ethical issues related to artificial intelligence pipelines - from conceptualisation, data quality and bias assessment, to representativeness of models, implementation and human interaction and training.
In addition to the technical skills you’ll develop, we aim to equip you with key employability skills such as team working, report writing, communication, and negotiation skills along with an insight into the industry.
Finally, you will complete an in-depth, independent research project. With the support of our academic and technical team, you’ll undertake a piece of research on a topic of your choice related to your studies. This will involve designing, implementing and evaluating a substantial piece of software and documenting the research through writing a dissertation.
You'll study nine core units, including your individual research project. If you're studying full-time, you’ll complete your units within one year. If you choose to study part-time, you’ll complete all the units over two years.
Algorithms And Data Structures
Robotics Science And Systems
Advanced Machine Learning
Knowledge Representation And Reasoning
Machine Learning Concepts
The Ethics And Governance Of Artificial Intelligence
Computational Maths And Statistics
Artificial Intelligence Principles
This course is available with an optional placement year, which you’ll commence in your second year after you’ve completed your academic credits.
Postgraduate Industrial Placement Year
Strengthen your skillset by spending time in the industry on a placement year, applying the skills you’ve learned throughout your academic studies in a practical, real-world environment. It’s an excellent opportunity to develop a professional career development plan and gain transferable workplace skills that can boost your employability.
Following completion of the taught elements of your MSc course, you can gain additional practice credits by working for a minimum of 36 weeks and a maximum of 42 weeks in an industrial setting, relevant to your course.
It’s your responsibility to search and apply for advertised placement opportunities, but you’ll be supported by academic staff and the University’s Careers and Employability Service to find a placement that is suited to you and your career ambitions. However, not all students can be guaranteed a placement.
All placements are approved and monitored in accordance with the University’s Institutional Code of Practice for Placement and Work‐Based Learning. For international students, this includes additional checks on study visas to ensure the appropriate visa status.
On placement, your academic tutor and workplace mentor will provide support and progress checks. A placement fee of £1,850 applies.
These typical entry requirements may be subject to change for the 2022/23 academic year. Please check back for further details.
This course is open to anyone with a UK honours degree in a computing-related subject – at least a 2:2 – or the international equivalent. We might also consider your application if you have a different kind of computing qualification, together with substantial experience in a computing-focused role.
Overseas applicants will require IELTS with an overall score of 6.5 with no less than 5.5 in any category, or an equivalent accepted English qualification.
Fees and funding
UK and Channel Island Students
Full-time fee: £8,500 per year. Tuition fees will remain the same for each year of your course providing you complete it in the normal timeframe (no repeat years or breaks in study).
Part-time fee: £1417 per 30 credits studied per year. Tuition fees will remain the same for each year of your course providing you complete it in the normal timeframe (no repeat years or breaks in study).
EU and non-EU International Students
Full-time fee: £16,500 per year. Tuition fees will remain the same for each year of your course providing you complete it in the normal timeframe (no repeat years or breaks in study).
Part-time fee: £2750 per 30 credits studied per year. Tuition fees will remain the same for each year of your course providing you complete it in the normal timeframe (no repeat years or breaks in study).
A Masters qualification typically comprises 180 credits, a PGDip 120 credits, a PGCert 60 credits, and an MFA 300 credits. Tuition fees will remain the same for each year of study provided the course is completed in the normal timeframe (no repeat years or breaks in study).
The advanced skills and understanding you’ll develop on our MSc Artificial Intelligence course can take you into a range of exciting roles in different industries.
You’ll be ideally placed to apply for specialist jobs such as AI/machine learning software engineer and AI data specialist. There are many links to the field of data science for even broader opportunities. As AI spreads into wider sectors, you’ll find opportunities in areas such as medicine, transport, economics and more. There is also the opportunity to pursue academic research via MPhil or PhD positions.
Careers support is available from the moment you join us, throughout your time here, and for up to three years after the completion of your course. We have a range of services available through the Department of Computing and Mathematics and the University Careers Service including dedicated careers and employability advisors.
Professional accreditations and endorsements
The Department of Computing and Mathematics is an educational affiliate of the British Computing Society, the Chartered Institute for IT in the UK (BCS), a member of the Oracle Academy and an Academy for the Computer Technology Industry Association (CompTIA).
The Department is an academic partner of the Chartered Institute of Information Security (CIISec) who recognises our expertise in the field of information and cybersecurity.
We’re also part of the new £40m national Institute of Coding (IoC) and leading the charge to make coding accessible for all, training the North West’s future digital workforce.