Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 2 years full-time with professional placement
Prepare for a career in machine learning with specialist skills and knowledge in designing, developing, and deploying machine learning systems.
Machine learning is changing modern society, transforming industries such as healthcare, finance, and even entertainment. The landscape of machine learning is rapidly evolving, with new developments paving the way for increasingly innovative technological applications.
This course provides you with the advanced knowledge and skills needed to design, develop and deploy machine learning systems. You will learn about the fundamental concepts of machine learning, such as supervised learning, as well as a range of baseline machine learning algorithms, including linear and logistic regression, support vector machines and decision trees. You will also gain an understanding of cutting-edge methodologies, preparing you for a career in a variety of industries, including healthcare, autonomous vehicles, finance, natural language processing and computer vision.
To ensure you’re well-prepared to excel in advanced machine learning studies and research, you will need a strong first degree in a numerate subject such as computer science, mathematics, physics, or engineering. 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 solid foundation in programming, particularly in Python.
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 in a numerate subject such as computer science, mathematics, physics, or engineering. You should also be able to demonstrate proficiency in mathematical topics such as calculus and linear algebra, possess a good knowledge of probability and statistics, and have a solid foundation in programming, particularly in Python.
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.
For fees and funding options, please visit website to find out more
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 1 year. It starts in September 2025 and ends in 2026. 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 machine learning, human and intelligent machines, and entrepreneurship.
Compulsory units:
Summer
Specialist project
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