MSc Artificial Intelligence
Entry requirements
You should have an honours degree (2:2 or above) from a UK university or equivalent in computing or other STEM-based disciplines, with a significant level of computing and programming.
We will also consider equivalent professional qualifications or a relevant HND provided you can demonstrate relevant work experience. In this case you will have to complete an interview with your application and some optional modules may not be available without a first degree in computing. All applications are considered individually.
Find out more about our processes for recognising previous experience
Months of entry
September
Course content
If you would like to be at the forefront of the ongoing technological revolution then our MSc Artificial Intelligence course is for you.
Artificial intelligence (AI) is redefining the way we live, allowing us to automate processes and enhance our quality of life. The resulting new technologies create the need for trained experts with a deep understanding of their intricacies and applications. On this course, you will:
- develop a systematic understanding of the AI domain
- gain in-depth knowledge of AI techniques and develop intellectual skills to create well-justified solutions
- develop a comprehensive understanding of the associated research and professional skills necessary in practice
- develop expertise to plan design and implement appropriate AI solutions in practical scenarios
- gain substantial practical experience, and learn to prepare for the future challenges of AI
- gain a solid foundation for applied research in artificial intelligence
- prepare for work in a rapidly evolving and technologically diverse environment.
The degree provides you with the skills to meet the needs of the industries that recognise AI's transformative potential, from healthcare to manufacturing to the automotive industry.
Theories and fundamentals of AI and machine learning will be taught in both lecture and workshop formats.
You will be supported in your learning and personal development through participation in industry and research seminars, group discussions and presentations, and coursework.
Additionally, you will receive hands-on experience accessing equipment and facilities within the School of Computing and Engineering.
Please note: knowledge of ethical AI is now embedded across our curriculum, equipping you with the digital skills needed to flourish in the increasingly AI-driven digital workplace.
On this course you will gain both the theoretical and practical knowledge to work across disciplines and implement AI systems and you will have the chance to explore realistic applications through group and individual projects.
We have contacts with major technology companies, perfect for opportunities within industry-initiated and healthcare-related projects.
Why study this course:
80% of our research is rated as world-leading (4*) or internationally excellent (3*) in the latest Government Research Excellence Framework (REF) assessment
Undertake a major independent research project on an agreed topic, under the supervision of an academic expert
Information for international students
You need to meet our English language requirement of 6.5 overall score for IELTS, with a minimum of 5.5 for each of the 4 individual components (Reading, Writing, Speaking and Listening). Visit our English language requirements page for information on other English language tests we accept.
You also need academic qualifications at the same level as UK applicants. In some countries where teaching is in English, we may accept local qualifications. Check for local equivalents.
We offer pre-sessional English language courses if you do not meet these requirements. Find out more about our English Language courses.
We offer scholarships for international students including International Ambassador Scholarships.
Further information about funding and financial support for international students is available from the UK Council for International Student Affairs.
Fees and funding
If you are studying a Masters course you may be eligible to apply for a Postgraduate Loan, this may help contribute towards your course fees and living costs.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
- part time24 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Admissions
- courses@uwl.ac.uk
- Phone
- +44 (0)20 8231 2468