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MSc

Artificial Intelligence

Explore the future of technology with our MSc in Artificial Intelligence. Join us to delve into cutting-edge fields such as speech recognition, image processing, and disease diagnosis.

How to apply Book an Open Evening Chat to Us

Key Course Details

  • Start Date

    September

  • Location

    Pontypridd

  • Campus Code

    A

Fees

  • Home students

    £10,800*

  • International students

    £16,900*

  • Full-time fees are per year. Part-time fees are per 20 credits.

  • Start Date

    September

  • Location

    Pontypridd

  • Campus Code

    A

Fees

  • Home students

    £1,200*

  • Full-time fees are per year. Part-time fees are per 20 credits.

Equip yourself with the skills demanded by industry for roles in AI and machine learning engineering. Elevate your career in the world of intelligent technology.

Designed for

This program is suitable for those seeking an in-depth and advanced understanding of the practical aspects of Artificial Intelligence, including computational applications, complex learning problems and real-world applications of autonomous systems. It is ideal for individuals who are recent graduates or professionals seeking to enhance their existing knowledge. It is also for career shifts and for those who come with non-STEM degrees.

Accredited by

  • BCS, The Chartered Institute for IT

Career Paths

  • Machine Learning Engineer
  • Data Scientist
  • Natural Language Processing (NLP) Engineer
  • Computer Vision Engineer
  • AI Research Scientiest

Skills taught

  • Data Analysis and Interpretation
  • Machine Learning Algorithms
  • Programming and Software Development
  • Deep Learning Expertise
  • Research and Problem-Solving

We make a difference in practice, not just on paper. Our courses are designed by people who offer jobs - and taught by people who have real work experience.

Video:
Video:
Senior Lecturer, Dr Mabrouka Abuhmida, holding a robotic car model in front of a red backdrop, with two small robots in the background

Course Highlights

Accredited by BCS, The Chartered Institute for IT

BCS accreditation, which is for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional, ensures our program meets the highest standards set by a leading authority in IT. Graduates gain recognition for excellence, access to a vast professional network, and increased employability. Elevate your career with a degree that aligns with industry benchma

Placement Opportunities

Through the Erasmus scheme, students could have the opportunity to attend summer schools in advanced computer vision and machine learning with our partners in TEI of Crete, University of Patras, University of Burgundy, Cyprus University of Technology, Polytechnic Institute of Porto and the University of Salento.

State-of-the-Art Facilities

Embark on a transformative academic journey with our university's exceptional AI support facilities. Our state-of-the-art computer laboratories, exclusively dedicated to master's students, offer a premier learning environment for both individual and collaborative study. Proximity to staff offices ensures immediate and seamless support, fostering a dynamic academic community. Dive into the

Industry Partners

NHS, Health boards. Local Charities and international partners.

Module Overview

The MSc in AI encompasses diverse modules."Project Management and Research Methodology" hones project planning skills. "Principles of Computing" covers tech, programming, and databases. "Computational Applications of AI" imparts practical knowledge of AI applications and data management. "Knowledge-Based Systems" explores AI's impact on decision-making. "Machine Learning and Autonomous Systems" delves into foundational ML and autonomous systems. "Deep Learning" extends ML knowledge. The program concludes with a substantial "MSc Project”.

Project Management and Research Methodology - 20 credits
Project Management and Research Methodology provides students with the opportunity to plan a project using appropriate methods, techniques and tools, taking into account relevant risks and ethical issues, and undertake a literature review and other development activities to improve their understanding of the situation and/or produce organisational change. 

Principles of Computing - 20 credits
Principles of Computing provides students with the opportunity to demonstrate a comprehensive understanding of current developments in computer technology, programming and database systems and to apply appropriate practices, tools and techniques to produce a solution to a problem where there are many interacting factors.

Computational Applications Of Artificial Intelligence -20 Credits
Computational application of artificial intelligence provides students with the opportunity to gain practical knowledge of computational applications used in the field of artificial intelligence and managing complex data sets such that they can assess the practical situations and interpret real-world applications using the concepts of statistical analysis and its value in Data science.

Knowledge-Based Systems - 20 credits
Knowledge-Based Systems provides students with the opportunity to gain a broad introduction to applicable artificial intelligence alongside practical skills designing and developing knowledge-based systems used to support human decision-making, learning and action, and appreciate their implications to society.

Machine Learning and Autonomous Systems - 20 credits
Machine Learning and Autonomous Systems provides students with the opportunity to build a foundational understanding of machine learning and autonomous systems, approaches to their design and development, areas of application, available tools and their implications to society.

Deep Learning - 20 credits
Deep Learning provides students with the opportunity to build on their knowledge of machine learning and explore the field of deep learning, areas of their application, approaches to the design and development of solutions to problems and available tools.

MSc Project - 60 credits

Course Highlights

Delivery and assessment

This intensive postgraduate computing course is structured in four major blocks, demanding a focused learning approach. Full-time students dedicate 12 class hours and 24 independent study hours weekly. Part-time students commit around six hours per week. The curriculum includes lectures, tutorials, practical sessions, seminars, and projects.

Assessment heavily relies on coursework (94%), ranging from research-style papers to practical assignments. A substantial research project allows students to choose their focus, requiring strong independent thinking, critical analysis, and project management skills. This dynamic learning environment emphasizes both structured class time and significant independent study for a holistic educational experience.

Teaching staff

A dedicated team of experienced teachers with a wide range of industrial and research
backgrounds teach on our computing courses at the University of South Wales.
These varied backgrounds help ensure that students not only learn about technologies and methodologies that are at the vanguard of computer science but gain knowledge about how they are applied. Find out about our current  Computer Science and Artificial Intelligence Paradigms (CSAIP) research group.

  • Dr Mabrouka Abuhmida, Course Leader
  • Professor Dr Ian Wilson, Associate Professor in Computational Intelligence
  • Professor Andrew Ware, Professor in Computing
  • Professor Dr Janusz Kulon, Professor in Biomedical Engineering and Applied Artificial Intelligence
  • Dr Carl Jones, Senior Lecturer in Computer Science

Facilities

Unlock your potential with cutting-edge technology at the University of South Wales. Our state-of-the-art, high-powered computer labs and Mac facilities provide an unparalleled environment for your academic journey.

From intensive data processing to creative design, our top-notch infrastructure empowers students to explore, innovate, and excel. Join a community where learning meets innovation and experience the seamless integration of theory and practice.

Elevate your education with access to the latest tools and resources, ensuring you're well-prepared for the dynamic challenges of today's digital landscape. At the University of South Wales, your success begins with advanced technology.

Careers and Employability

Graduate careers

Graduates from the MSc AI program at the University of South Wales (USW) are well-
equipped for a range of dynamic and high-demand career paths. Our graduates have
obtained roles as a Predictive Maintenance Engineer in industries such as Tata Steel and
Thales, Chatbot and Virtual Assistant Developers in mental health support, marketing and retail, Supply Chain Optimization Engineers in supply chain disruptions, optimize inventory levels, and enhance logistics in various industries and many more.

Possible career paths

Embarking on a career in Artificial Intelligence offers a spectrum of exciting paths. As a
Machine Learning Engineer, you'll craft algorithms for systems to learn and improve. Data Scientists delve into complex datasets, extracting vital insights for informed decision-making. Natural Language Processing Engineers specialize in language-driven AI applications. Computer Vision Engineers focus on interpreting and making decisions based on visual data, from image recognition to facial analysis. AI Research Scientists contribute to cutting-edge advancements, exploring new algorithms and models. These diverse paths reflect the dynamic nature of AI, promising opportunities to shape the future across industries like healthcare, finance, and technology.

Careers support

The University’s Career Services offers a range of advice and guidance to students, and
references to the services available to all listed at southwales.ac.uk/careers will be added to the course website by default.

ENTRY REQUIREMENTS

Typical qualification requirements:

This course is aimed at graduates with a minimum 2:2 Honours degree or equivalent who would like to broaden their existing knowledge and open up a new career path.

Applications from engineering, IT, science, mathematics or business graduates in particular are welcomed.

The course is tool-based and if any numeracy skills are needed it will be covered with the content of the modules.

Relevant industry experience can also be taken into account.

The course welcomes none STEM subjects.

 

International applications welcomed:

We welcome international applications with equivalent qualifications of our entry requirements. For more details related to your country of residence, please view our dedicated country pages.

English language requirements

International applicants will need to have achieved an overall of IELTS 6.0 with a minimum of 5.5 in each component/TOEFL 72 overall and a minimum of 18 in reading, 17 in listening, 20 in speaking and 17 in writing or equivalent.

Equivalents can be located on our English Language pages.

If you have previously studied through the medium of English, IELTS might not be required, please visit our country specific page for further details. If your country is not featured, please contact us.

If you do not meet the English entry criteria, please visit our Pre-Sessional course pages.

Contextual offers

We may make you a lower offer based on a range of factors, including your background (where you live and the school or college that you attended, for example), your experiences and individual circumstances (as a care leaver, for example). This is referred to as a contextual offer, and we receive data from UCAS to support us in making these decisions.

USW prides itself on its student experience and we support our students to achieve their goals and become a successful graduate. This approach helps us to support students who have the potential to succeed and who may have faced barriers that make it more difficult to access university.

 

We're here to help

Whether you a have a question about your course, fees and funding, the application process or anything else, there are plenty of ways you can get in touch, and we'd love to talk to you. You can contact our friendly admissions team by phone, email or chat to us online.

 

Fees and Funding

UK Full-time Fee

£10,800

per year*
International Full-time Fee

£16,900

per year*
International Full-time Fee

£16,900

per year*
UK Part-time Fee

£1,200

per 20 credits*

Further Information

Studying at university is one of the most significant investments you'll ever make. Whilst you’re studying, you’ll have two main financial obligations – tuition fees and living costs. There’s lots of financial help available from the University of South Wales and external funding sources, that may provide loans (which have to be paid back) and grants, scholarships and bursaries (that don't).

*Full-time fees are per year. Part-time fees are per 20 credits. Once enrolled, the fee is anticipated to remain at the same rate throughout the duration of your study on this course except as described below.

Please be aware that we may increase the maximum fee for home students on full-time undergraduate courses only where the Welsh Government increases the permitted level of inflation of fees. Fees for all students (including part-time, postgraduate and international students) may be amended in accordance with our applicable Fees and Debt Management Policy.  We will ensure that students are given clear, intelligible, unambiguous and timely information about our courses and costs in good time, ahead of the next academic year.

 

Fees and Funding Scholarships and Busaries Alumni Discount

Additional Costs

As a student of USW, you’ll have access to lots of free resources to support your study and learning, such as textbooks, publications, online journals, laptops, and plenty of remote-access resources. Whilst in most cases these resources are more than sufficient in supporting you with completing your course, additional costs, both obligatory and optional, may be required or requested for the likes of travel, memberships, experience days, stationery, printing, or equipment.

There are no specific additional costs associated with the programme, although students should expect to incur occasional incidental expenses, for instance for printing, stationary or transport.  Students may, optionally decide to support their studies by providing additional equipment such as a laptop.  Although recommended this is not required

student-25
Read about campus developmentsOur new STEM Hub

Introducing Calon

We are investing in the future of STEM at USW with an exciting new Computing, Engineering and Technology building at our Pontypridd Campus.

STEM Hub Pontypridd Campus

University Quality Assurance

At USW, we regularly review our courses in response to changing patterns of employment and skills demand to ensure we offer learning designed to reflect today’s student needs and tomorrow’s employer demands.

If during a review process course content is significantly changed, we’ll write to inform you and talk you through the changes for the coming year. But whatever the outcome, we aim to equip our students with the skillset and the mindset to succeed whatever tomorrow may bring. Your future, future-proofed.

How to apply

There is an online application process for this course. Please choose the application form for your preferred start date and mode of study (i.e. full-time or part-time).

International admissions

Please see our international admissions advice for further information about how to apply as a prospective international student.

Related Courses

Data Science - MSc Learn more
Advanced Computer Science - MSc Learn more

Next Steps

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