Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 1 year full-time
Prepare for a career in artificial intelligence with specialist skills and knowledge in classical AI, probabilistic reasoning and machine learning.
Originating in the 1950s, recent years have seen the widespread adoption of artificial intelligence (AI) technologies. Alongside global applications in healthcare, transport, and public services, it’s also working behind the scenes to power our everyday interactions, like tailoring shopping recommendations, helping save energy in homes, and editing smartphone photos with ease.
This course provides you with a foundational knowledge of the principles of AI, as well as proficiency in programming languages and software tools for AI development. You will also gain an understanding of the legal, ethical, social and professional implications of AI. The practical knowledge and skills developed will enable you to apply AI techniques to solve real-world problems in a variety of fields, including healthcare, finance, cybersecurity and manufacturing and industry.
Due to the interdisciplinary nature of this course and to ensure you’re well-prepared to excel in advanced AI studies and research, you will need a good first degree in a numerate subject, such as computer science, mathematics, physics, economics, engineering, or relevant social sciences. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a good foundation in programming.
Course highlights
You should have a first or strong second-class Bachelor’s honours degree or international equivalent.
To apply for this course you should have an undergraduate degree a numerate subject, such as computer science, mathematics, physics, economics, engineering, or relevant social sciences. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess some familiarity with probability and statistics, and have a good foundation in programming.
We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree.
If your first language is not English but within the last 2 years you completed your degree in the UK you may be exempt from our English language requirements.
Please visit our website for fee information
After graduating, you'll be well-placed for a variety of careers in industry. Throughout your studies, you will have access to a development programme via timetabled sessions and that includes employer events which will raise your awareness of the commercial opportunities available to a technologist.
Alongside the specialist skills and knowledge you'll gain, our dedicated careers team offers individual guidance and helps you decide between employment and further study.
This course lasts 2 years. It starts in September 2025 and ends in 2027. Welcome week starts on 22 September 2025.
Occasionally we make changes to our programmes in response to, for example, feedback from students, developments in research and the field of studies, and the requirements of accrediting bodies. You will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.
Year 1
Semester 1
Compulsory units:
Semester 2
Alongside compulsory units, in semester 2, you will choose 10 credits of optional units. These could include topics such as natural language processing, reinforcement learning, computer vision, Bayesian data science, human and intelligent machines, and entrepreneurship.
Compulsory units:
Year 2
Semester 1
Compulsory units:
Semester 2
Summer
Specialist project
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