A master's in machine learning allows students to improve their knowledge in advanced machine learning and artificial intelligence skills. Studying for a master's degree in Machine Learning in the UK requires students to have a strong aptitude for programming, mathematics and statistics and good analytical skills.
A postgraduate degree in Machine Learning is useful in propelling careers as data scientists, computational statisticians and machine learning engineers. Students are trained with invaluable practical skills and guided knowledge to apply machine-learning solutions to real-world problems. Machine learning has, therefore, become one of the most in-demand specialisations within the computer science and IT industry.
Learn more about which universities in the UK are the best to pursue a master's in machine learning below and book a free consultation with SI-UK to learn more about the UK universities, courses and how to apply.
Why Study a Master's in Machine Learning?
The UK has some world’s top universities offering professional and highly specialised degrees in Machine Learning and Artificial Intelligence (AI). UK universities provide an excellent environment to study the subject and offer truly unique programmes to upgrade expertise and skills in this domain by strongly emphasising the mathematical, computational and business views of machine learning.
Strong links between universities and pioneering tech companies in the UK render a sharp competitive edge to Machine Learning programmes and the course structure at UK universities.
- Careers in Machine Learning
Machine Learning professionals have excellent employability records. ML experts work as computation statisticians, ML engineers, and data scientists and have good opportunities to make a career in modern business organisations that extensively use intelligent systems technologies. There is a huge demand for ML graduates with good computational skills in the finance sector and others with requirements for large-scale data analysis.
Top UK Universities to Study a Master’s in Machine Learning
Below is the list of some of the top universities in the UK to study a master’s in machine learning.
1. Imperial College London
The MEng Computing (Artificial Intelligence and Machine Learning) course at Imperial College London provides an all-around education in computing, focusing on AI, knowledge engineering, and machine learning. Students gain practical skills in building computing systems, understanding modern technology, and adapting to industry changes.
With a strong foundation in discrete mathematics, statistics, and engineering principles, students engage in laboratory work, projects, and advanced modules. A year-long industrial placement enhances practical experience, culminating in a master's-level study with optional modules and a substantial individual project.
- Suggested course: MEng Computing (Artificial Intelligence and Machine Learning)
- Entry requirements: IB diploma: 41 points with 7 in Mathematics and 7 in another relevant subject at higher level.
- International fee: £40,940
2. Queen Mary University of London
The MSc in Artificial Intelligence course at Queen Mary is designed to prepare students for diverse career opportunities in the rapidly evolving field of AI. Developed in collaboration with the Institute of Coding, the programme emphasises employability across industrial and academic sectors.
Students customise their studies to align with personal interests and career goals, gaining proficiency in universal machine learning tools and specialised AI topics. Hands-on experience with cutting-edge tools like Deep Neural Networks and Reinforcement Learning is provided through practical labs and projects supported by world-class teaching and research resources.
- Suggested course: Artificial Intelligence MSc
- Entry requirements: A 2:1 or above at the undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline.
- International fee: £31,850
3. Royal Holloway, University of London
The MSc in Machine Learning at Royal Holloway, University of London, offers a transformative education in AI. You will gain essential skills to shape the future of software and computer technology, mastering machine learning and statistical models. The course helps you learn how to extract valuable insights from various data types, utilising techniques like clustering, regression, and neural networks.
Students will benefit from research-led teaching and contribute to the department's renowned research culture with an Independent Project. They can join one of the UK's leading research departments and prepare for a dynamic career in machine learning.
- Suggested course: MSc Machine Learning
- Entry requirements: UK 2:1 Bachelor honours degree or equivalent in Computer Engineering, Computing, Computer Science Engineering, Software Engineering, or other subjects.
- International fee: £23,900
4. University of Bath
The Robotics and Autonomous Systems MSc at the University of Bath offers a unique approach to advancing careers in engineering. This programme integrates advanced theory with practical skills, enabling students to develop fully operational robots and autonomous systems. It’s an opportunity to delve into robotics engineering, software, and autonomous technologies across the industry value chain.
Explore topics like computational intelligence, machine learning, and embedded systems, while emphasising practical learning ensures students gain hands-on experience designing and building robotic platforms, supported by access to cutting-edge facilities and workshops. Gain expertise in analysing engineering challenges holistically, addressing stakeholder needs and environmental considerations for impactful solutions.
- Suggested course: Robotics and Autonomous Systems MSc
- Entry requirements: A first or strong second-class Bachelor's honours degree or international equivalent.
- International fee: £31,600
5. University of Birmingham
The MSc Artificial Intelligence and Machine Learning programme at the University of Birmingham offers a deep dive into the rapidly evolving field of AI and ML. Students explore fundamental principles and applications, gaining insights into real-world challenges and ethical considerations. You can engage in substantial individual projects alongside world-leading researchers, with opportunities to collaborate with the Alan Turing Institute.
The curriculum allows you to delve into automated language translation, medical diagnostics, and societal implications. You can customise your learning with various compulsory and optional modules, preparing for impactful contributions to AI-driven advancements.
- Suggested course: MSc Artificial Intelligence and Machine Learning
- Entry requirements: 2:1 Honours degree (or equivalent) in a numerate discipline (Computer Science, Mathematics, Physics, Engineering, Economics).
- International fee: £31,410
6. University of Edinburgh
The University of Edinburgh's Institute for Adaptive and Neural Computation (ANC) is renowned for its interdisciplinary research in machine learning, computational neuroscience, and computational biology. Their pioneering work includes developing probabilistic methods for data analysis and modelling brain processes.
The ANC offers a stimulating environment for collaborative research and houses over 400 staff and students in the award-winning Informatics Forum. Pursue a PhD in Informatics: ANC to delve into cutting-edge research at the forefront of artificial and biological systems.
- Suggested course: PhD Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology
- Entry requirements: A UK 2:1 honours degree, or its international equivalent, typically in an area of informatics.
- International fee: £31,500
7. University of Oxford
The Statistics and Machine Learning DPhil programme at the University of Oxford offers comprehensive training over four years (or eight for part-time study), producing researchers equipped to tackle real-world challenges across various sectors. As part of the StatML cohort, jointly hosted by Imperial College London, the programme integrates cutting-edge research methodologies with business and transferable skills essential for industry.
Undertake original research projects, from theoretical to applied, often in collaboration with industry partners. Gain hands-on experience through mini-projects and develop expertise under renowned supervisors.
- Suggested course: Statistics and Machine Learning (DPhil)
- Entry requirements: A first-class or strong upper second-class undergraduate degree with honours.
- International fee: £31,480
8. University of Surrey
The MSc in Computer Vision, Robotics, and Machine Learning at the University of Surrey offers comprehensive training and practical experiences tailored for those pursuing careers in research institutions or leading technology companies. Delve into advanced computer vision, machine learning techniques, and low-level image processing methods.
You can enhance programming skills through hands-on projects and laboratory classes, gaining expertise in artificial intelligence programming and robotic device design. Benefit from computing support and access to university facilities, preparing for impactful contributions in pioneering technologies. The course is accredited by the Institution of Engineering and Technology (IET).
- Suggested course: Computer Vision, Robotics and Machine Learning MSc
- Entry requirements: A minimum of a 2:2 UK honours degree in computer science, electronic engineering, mathematics, or physics, or a recognised equivalent international qualification.
- International fee: £26,500
Study Machine Learning in the UK
Universities in the UK are world leaders in computer science and information technology teaching and research. Study the most advanced, industry oriented courses in machine learning at the best UK Universities. Book a free consultation with SI-UK to learn more about application and courses.
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