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
Our MSc in Software Engineering and Artificial Intelligence (AI) is rooted in a student-centred learning philosophy that balances theory and practice, empowering students to become adaptable, skilled professionals. Our approach integrates hands-on experiences with rigorous academic knowledge, encouraging both technical mastery and lifelong learning, equipping students to excel in evolving technological landscapes. Core Elements of Study Advanced Software Engineering In this module, students explore cutting-edge principles and practices in software engineering, focusing on efficient design, development, and maintenance of complex systems. You will learn to employ advanced methodologies, frameworks, and tools to solve real-world problems, preparing you to design resilient and scalable software solutions for diverse industry needs. Machine Learning Applications Students delve into the foundations of Machine Learning (ML), examining its role in decision-making and predictive systems across industries. Through practical projects, you’ll gain experience building models, analysing data patterns, and developing adaptive algorithms, providing a robust skill set to meet the demands of an AI-driven market. Artificial Intelligence in Practice This module focuses on applying Artificial Intelligence (AI) to real-world challenges, from automation to personalised user experiences. Students will learn AI theory and applications, developing systems that mimic human intelligence. This practical focus enables you to contribute to innovation in AI across various sectors, from healthcare to finance. Data Science and Big Data Students are introduced to data science principles, exploring methods for managing and analysing large datasets to extract actionable insights. Emphasis is placed on big data technologies and statistical analysis, equipping you with the skills to work with complex data, crucial for both software engineering and AI applications in today’s data-centric world. Ethics and Responsibility in AI This module examines ethical considerations in Artificial Intelligence (AI) and Software Engineering, including data privacy, fairness, and accountability. Through case studies and critical discussions, students develop a grounded understanding of ethical principles, preparing them to make responsible decisions that positively impact society and the technology landscape. Lifelong Learning and Professional Development Focused on career advancement and lifelong learning, this element encourages students to continually update their knowledge and skills. You’ll learn strategies for professional growth, develop adaptability, and understand the importance of staying current in a rapidly advancing industry, ensuring a sustained and successful career trajectory. 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
Students’ 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 assessment 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 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).
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
How to apply
International applicants
If you are not from the UK and you do not already have residency here, you may need to apply for a visa. For courses of more than six months’ duration you will require a Student visa. International students who require a Student visa should apply for our full-time courses as these qualify for Student visa sponsorship. For full information read our visa application and guides. Please note students receiving US Federal Aid are only able to apply for in-person, on-campus programmes which will have no elements of online study.
Entry requirements
2:2 honours degree or UWTSD recognised equivalent.
English language requirements
If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.0, with not less than 5.5 in each of the sub-tests. We also accept other English language tests.
Acceptable Evidence of English
https://www.uwtsd.ac.uk/apply/international-applications/english-language-requirements
Fees and funding
Tuition fees
| Republic of Ireland | £7800 | Whole course |
| EU | £16800 | 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 | £16800 | 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
It is possible to complete this programme of study without any additional costs.
Students may wish to purchase materials for modules such as Major Project, but this is not a requirement and will have no bearing on the final grade achieved.
Provider information
University of Wales Trinity Saint David
College Road
Carmarthen
SA31 3EP