Course summary
Are you ready to step into a world where technology evolves every second? The Software Engineering and Artificial Intelligence (AI) MSc is your gateway to a future filled with innovation and opportunity. This postgraduate degree (MSc) is crafted for those who want to stand at the forefront of technological advancement, equipping you with skills and knowledge that matter in today’s rapidly changing world. This course focuses on two key areas: Artificial Intelligence (AI) and Software Engineering. You’ll gain advanced knowledge in both, diving deep into how AI is transforming industries and how cutting-edge software is driving that transformation. From designing intelligent systems to solving complex real-world problems, you’ll learn to apply your skills where they’re needed most. In an age of relentless industry demand, this MSc ensures you’re not just keeping up but staying ahead. The course is designed to prepare you for real-world challenges, blending theoretical understanding with hands-on expertise. By the end of your studies, you’ll be ready to create, innovate, and lead in industries hungry for skilled professionals. But this course isn’t just about today; it’s about preparing you for tomorrow. A strong emphasis on lifelong learning means you’ll develop the ability to adapt as technology advances, ensuring your skills remain relevant throughout your career. Whether you want to enter research, development, or leadership roles, this MSc positions you for meaningful career advancement in a competitive job market. The programme also provides a vibrant, collaborative learning environment where innovation thrives. You’ll be surrounded by like-minded individuals and guided by experts in the field, all working towards pushing the boundaries of Artificial Intelligence (AI) and Software Engineering. Graduates of this MSc are well-positioned to meet the global demand for expertise in these fields. It’s more than just a degree — it’s a pathway to shaping the future of technology and making a real impact on the world.
Modules
Agile Development and Software DevOps (20 credits) Application of Machine Learning (20 credits) Artificial Intelligence (20 credits) Cloud Engineering Principles and Practice (20 credits) Data Security, Governance and Compliance (20 credits) Master's Project (60 credits) Research Methods and Professional Development (20 credits)
Assessment method
Student work is assessed through a combination of coursework, portfolio, lab-based practical exams and written examinations. The final mark for some modules may include one or more pieces of course work set and completed during the module. Project work is assessed by a written report and oral presentation. Part 2 requires the student to research and prepare an individual project/dissertation of a substantial nature. University students who are unable to successfully complete all aspects of Part 1 may be eligible for a Postgraduate Diploma (120 credits) or Postgraduate Certificate (60 credits).
Entry requirements
Applicants require an Honours Degree (2.2 or above) or advanced qualification in Computer Science or cognate discipline from a UK University or recognised overseas institution or industrial experience in IT and an Honours Degree. For International applicants, we ask that you hold an Academic IELTS test with a score of at least 6.0 (no element less than 5.5). For full information, please visit our International page.
Fees and funding
Tuition fees
EU | £7800 | Whole course |
England | £7800 | Whole course |
Northern Ireland | £7800 | Whole course |
Scotland | £7800 | Whole course |
Wales | £7800 | Whole course |
Channel Islands | £7800 | Whole course |
International | £15000 | Whole course |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of Wales Trinity Saint David
College Road
Carmarthen
SA31 3EP