204 Master's degrees in Machine Learning in Europe
Machine Learning
The international Machine Learning program from University of Tübingen offers a wide choice of courses in computer science and, apart from a few mandatory courses, allows students to choose their subjects according to interest.
Image Procesing and Computer Vision
The Erasmus Mundus Joint Master in Image Processing and Computer Vision (IPCVAI) trains experts in AI-driven visual data analysis. Study in Budapest, Madrid, and Bordeaux while gaining advanced skills in computer vision, machine learning, and high-performance computing. The programme combines research excellence, international mobility, and industry internships for AI and high-tech innovation.

Smart Manufacturing Systems (Part-time)
The Smart Manufacturing Systems (Part-time) course from Ulster University provides postgraduate education and training in the concepts and methods within the area of manufacturing and mechanical engineering with the application of industrial robotics, data analytics and artificial intelligence (AI)/ machine learning to meet the needs of manufacturing in Industry 4.0.

Cognitive Science and Artificial Intelligence
This 2-year Master's program combines knowledge of cognitive science and artificial intelligence with techniques such as advanced deep learning, deep reinforcement learning and Bayesian modeling. You will investigate various aspects of intelligence, such as reasoning, learning, perception, communication and collaboration from both a human perspective and a machine perspective.
Statistical Science
The Statistical Science offered at the University of Oxford is a nine-month taught course, running from October each academic year. It is similar to the MSc in Statistical Science but there is no dissertation. The course has a particular focus on modern computationally-intensive theory and methods.
Machine Learning and Health
The Master in Machine Learning and Health (formerly Master in Information Health Engineering) at Universidad Carlos III de Madrid emerges as an answer to the increasing demand of researchers with an interdisciplinary background in the fields of machine learning and bioengineering.

Computer Vision, Robotics and Machine Learning
The Computer Vision, Robotics and Machine Learning MSc at the University of Surrey is designed for those interested in pursuing careers in robotics research, autonomous systems development, computer vision engineering, and related fields.

Business Analytics
With our highly practical Business Analytics programme from University of Surrey you'll uncover the true potential of data, transforming it into extraordinary insights and propelling businesses to unprecedented success.

ICT for Smart Societies
The ICT for Smart Societies degree at Politecnico di Torino has been designed from scratch to satisfy job market requirements. ICT4SS has several unique features that make it particularly appealing for students and companies.

Data Science and AI (Online)
Applied Data Science and AI (Online) at OPIT - Open Institute of Technology is designed for graduate students who seek a career at the intersection of management and tech departments within companies.

Machine Learning for Finance (Online)
The Machine Learning for Finance (Online) course from the University of Limerick is the first online programme of its kind in Ireland. Designed to address the growing AI skills shortage in the industry, it combines applied, practical financial theory with advanced computer science training.
Machine Learning and Data Science (Online)
Study MSc Machine Learning and Data Science at a university ranked second in the world (QS 2026). Benefit from flexible learning over 24 months on this fully online course, covering a diverse range of topics in theoretical and applied perspectives, focusing on statistical estimation, prediction and anomaly detection.

Artificial Intelligence
This Artificial Intelligence course from University of Leeds offers you the most up-to-date artificial intelligence knowledge that speaks directly to the skills that employers are actively seeking within the AI development sector.
MSc in Artificial Intelligence
This course aims to produce high-quality, technically competent, innovative graduates that will become leading practitioners in the field of artificial intelligence.
Visual Computing
The Visual Computing program of the University of Nantes is an academic curricular of the Computer science Master's Degree.
Business Analytics
If you are interested in pursuing a Master’s degree in Business Analytics, but do not yet fully meet the entry requirements, you can follow this pre-Master’s programme at Vrije Universiteit Amsterdam.

International Incorporated Masters in Artificial Intelligence and Machine Learning Msc
In this International Incorporated Masters in Artificial Intelligence and Machine Learning Msc course from University of Bradford International College, you will be provided with a highly supportive and challenging environment in which to develop language, university study, and subject-specific modules related to your intended degree choices in the field of Science, Engineering and Health.
Actuarial Management with Data Science
Data Science (machine learning) uses computer algorithms to build models of the future.In addition, the degree is fully accredited with the Institute and Faculty of Actuaries in the UK for actuarial subjects: CP1, CP2, CP3, SP2, SP4, SP5, SP6, SP7, SP8 and SP9. Studying subject SP9 leads to the internationally recognised Certified Enterprise Risk Actuary (CERA) qualification.
Data Science and Artificial Intelligence
What revelations hide in social media, online reviews, mobile applications or Internet of Things (IoT) sensor data? The Data Science and Artificial Intelligence course from Edge Hill University unlocks the theories, skills and tools you need to uncover hidden patterns, correlations and trends.
Digital Sciences
The Digital Sciences programme from Learning Planet Institute is designed to train and empower a community of students who want to tackle the challenges of modern research serving the Sustainable Development Goals (SDGs) through a collaborative and multidisciplinary approach.