MSc Artificial Intelligence
Artificial intelligence is an emerging field having a strong demand for AI engineers and Machine learning Engineers. Speech recognition, image processing, business process management, disease diagnosis and data feature engineering are just a few of the jobs that artificial intelligence enhances and makes simpler.
The MSc Artificial Intelligence at USW is a course aimed at graduates who would like to broaden their existing knowledge and open up a new career path. This course is intended to help students gain a solid knowledge of the various applications of AI, including language transformation, sentiment analysis, and visual recognition. Using Visi Rule and Python will also teach you about another area of artificial intelligence, such as the knowledge base system.
Modules include work based on research by the Computer Science and Artificial Intelligence Paradigms (CSAIP) research group.
Modules include work based on research by the Computer Science and Artificial Intelligence Paradigms (CSAIP) research group.
- 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
Teaching
This AI masters is aimed at graduates with engineering, science, IT, mathematics or business backgrounds who have strong numeracy and IT skills.
It is delivered in four major blocks to offer an intensive but focused learning pattern. Full-time students will typically spend 12 hours in classes and 24 hours outside of classes each week.
If you choose to study part-time, this is reduced to around six hours each week. You will study through lectures, tutorials, practical sessions, seminars and projects.
You will need to spend a significant amount of time working independently, reading and preparing for assessments.
You will also work on a significant research project of your own choice, where strong independent thinking, critical analysis and project management skills will be important.
Assessment
Assessment is primarily by coursework (94%), varying from a research-style paper or essay to practical assignments.
You will also work on a significant research project of your own choice, where strong independent thinking, critical analysis and project management skills will be important.
Accreditations
Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.
Placements
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.
Facilities
Practice is so important in gaining understanding of complex machine learning techniques, which is why we have a range of high specification computer laboratories including workrooms dedicated to our masters’ students.
These facilitate a learning environment where you can work individually or in groups and as they are located close to the staff offices.
Our facilities are at the cutting edge of computer development, meaning you’ll use the latest technologies in high-spec labs.
You’ll also find dedicated spaces on campus for computing students, including Windows, Apple Mac, Linux and Networking suites, all with the latest software.
Lecturers
- Shaily Jain, Course leader and Lecturer in Computer Science
- Dr Ian Wilson, Head of Computer Science, Associate Professor in computational intelligence
- Professor Andrew Ware, Professor in Computing
- Dr Christopher Tubb, Senior Lecturer and Cognitive Robotics Research leader
- Dr David Kidner, Senior Lecturer in Informatics
- Gaylor Boobyer, Senior Lecturer in Informatics
- Dr Mabrouka Abhumida, Lecturer in Computer science
- Dr Carl Jones, Senior Lecturer in Computer Science
- Dr Daniel Cunliffe, Lecturer in Informatics
We regularly revalidate courses for quality assurance and enhancement
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.
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.
All entrants must have strong numeracy and IT skills.
The course welcomes international applicants and requires an English level of IELTS 6.0 with a minimum of 5.5 in each component or equivalent.
Full-time fees are per year. Part-time fees are per 20 credits. Once enrolled, the fee will remain at the same rate throughout the duration of your study on this course.
August 2022 - July 2023 Fees
Full-time UK: £9250
Full-time International: £14700
August 2023 - July 2024 Fees
Full-time UK: £9500
Full-time International: £15100
Part-time UK: £1055 per 20 credits
August 2024 - July 2025 Fees
Full-time UK: TBC
Full-time International: TBC
Part-time UK: TBC
Student Perks
At the University of South Wales, you’re investing in so much more than a degree. We strive to provide our students with the best possible experience, no matter what you chose to study. Whether it’s access to top of the range mac books and PCs, state-of-the-art facilities packed with industry-leading equipment and software, masterclasses and events led by industry experts, or a wide range of clubs and societies to meet likeminded people, better tomorrows start with extra perks.
Each course also has their own unique student benefits to prepare you for the real word, and details of these can be found on our course pages. From global field trips, integrated work experience and free course-related resources, to funded initiatives, projects working with real employers, and opportunities for extra qualifications and accreditations - at USW your future, is future-proofed.
Click here to learn more about student perks at USW.
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.
Funding
Funding to help pay for (or cover) course tuition fees and living costs
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).
To learn about course fees, funding options, and to see if you are eligible for financial support, visit our Fees and Funding pages.
USW Postgraduate 20% Alumni Discount 2023/24
The University of South Wales is offering a 20% reduction in tuition fees for all University of South Wales* graduates starting a taught/online*** MA,MSc, LLM,MBA or DBA course from September 2023 (this includes students starting their course in January/February 2024). T's and Cs apply. Click here for more details and eligibility criteria: USW Postgraduate Alumni Discount 2023/24
USW Postgraduate Ethnicity Equality Bursary 2023-24
The University of South Wales is offering 10 bursaries to postgraduate students commencing their studies in the 2023-24 academic year and have self-identified as one of the following ethnic groups under the following headings as per the UK government published list: Black, African, Caribbean, or Black British, Mixed or Multiple Ethnic Groups, Asian or Asian British, Other Ethnic Group. For more information, visit our Fees and Funding pages.
Apply directly to the University for the MSc AI course.
Admissions statement
Graduates with an MSc Artificial Intelligence will be able to apply for jobs in artificial intelligence, competitive intelligence, business intelligence, threat intelligence, cyber intelligence, computational intelligence, customer intelligence and marketing intelligence.
Example job titles include machine learning engineer, artificial intelligence engineer and business intelligence data engineer.
Many of our computing graduates commence a computing research degree here at the University, and there are PhD research opportunities in artificial intelligence within the school and beyond.
Once you complete your degree USW offers a startup studio and dedicated incubation space and the opportunity to grow on freelance work.
The Pontypridd Campus is made up of two sites: Treforest and Glyntaff. Our students love the community atmosphere, as well as living and studying in the same place. It’s quieter than the cities, with green open spaces and views across the valley.
It’s the community and friendships you’ll build that make this place special. Outside your studies you can experience our amazing sport facilities and Students’ Union.
Living in Halls is a great way to meet new people and make friends. We have high quality accommodation in Treforest, Cardiff and Newport.