Artificial Intelligence
Join us in exploring the future of technology and artificial intelligence as we dive into cutting-edge fields like speech recognition, image processing, disease diagnosis and large language models.
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Key Course Details
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Start Date
September
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Location
Pontypridd
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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.
Tackle real problems facing the world of intelligent technology as you learn key skills demanded by industry for roles in applied AI.
Designed for
This course is ideal for passionate problem solvers with basic computing and programming skills who want to gain an in-depth and advanced understanding of artificial intelligence. You will dive into computation applications and complex learning problems while looking at the real-world application of autonomous systems.
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 Scientist
Skills taught
- Data Analysis and Interpretation
- Machine Learning Algorithms
- Programming and Software Development
- Deep Learning Expertise
- Research and Problem-Solving
Course Highlights
Module Overview
Open doors to a dynamic, applied artificial intelligence career with our comprehensive exploration of AI applications. From language transformation to sentiment analysis, visual recognition, knowledge representation and data analysis using Python packages, students gain expertise in diverse AI areas.
Project Management and Research Methodology
Plan a project considering relevant risks and ethical issues while completing a literature review and other development activities as you improve your understanding of the situation and/or produce organisational change.
Principles of Computing
Demonstrate your understanding of current developments in computer technology, programming and database systems by producing a solution to a problem with many interacting factors using appropriate practices, tools and techniques.
Computational Applications Of Artificial Intelligence
Expand your computation applications knowledge within artificial intelligence, complex data management and engineering. Assess practical situations and interpret real-world advanced statistical analysis concepts uses and their value in data science.
Knowledge-Based Systems
Learn practical skills in designing and developing knowledge-based systems used to support human decision-making and about their societal impacts. Explore the best practices and ethical approaches to producing AI-powered solutions.
Machine Learning and Autonomous Systems
Create a foundational understanding of machine learning, support vector machines, dimensionality reduction, and statistical AI models. Learn about reinforcement learning principles and explore applications, tools, and their societal implications.
Deep Learning
Build on your machine learning knowledge and explore deep learning and its application. Discover our innovative tools and the different ways to design and develop solutions to real problems.
MSc Project
Demonstrate computing and research skills by investigating your chosen topical, award-relevant issue in depth to produce a justified solution to a significant problem informed by a critical review of research.
Course Highlights
Delivery and assessment
This intensive postgraduate course is divided into four major blocks. Full-time students dedicate 12 class hours and 24 independent study hours weekly, while part-time students commit around six hours per week.
Assessment is 100% coursework-based and ranges from research-style papers and presentations to practical assignments. You will choose your focus for a substantial research project that requires strong independent thinking, critical analysis, and project management skills.
Students experience both structured class time and independent study as part of this dynamic course which includes lectures, tutorials, practical sessions, seminars, and projects.
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Teaching staff
You will be taught and supported by a dedicated team of skilled teachers from a wide range of industrial and research backgrounds. Their invaluable experience ensures that students not only learn about technologies and methodologies that are at the vanguard of computer science but that students also learn how they are applied. Find out about our current Computing, Cybersecurity, Maths and informatics (CCMI) research group.
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Facilities
You will work with cutting-edge technology, from our state-of-the-art computer laboratories and Mac facilities to our robotic dog, KAI-9. From intensive data processing to creative design, students feel empowered to explore, innovate, and excel.
You will be career-ready as you solve real-world problems. With a blend of theory and practice, you will gain all the key skills to face the dynamic challenges of today’s digital landscape. You will work with CNN, RNN, LSTM and transformer architecture as well as tools like Hugging Face, Streamlit and Gradio while exploring Deep Learning. We support your independent studies though our DataCamp material.
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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
£10,800
per year*£16,900
per year*£16,900
per year*£1,200
per 20 credits*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
Introducing Calon
We are investing in the future of STEM with the exciting new Calon building at the heart of our 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).
- September 2025 Part-time
- September 2026 Full-time
- September 2025 Full-time
- September 2026 Part-time
- February 2026 Full-time
International admissions
Please see our international admissions advice for further information about how to apply as a prospective international student.