204 Master's degrees in Machine Learning in Europe

Business Analytics
This Business Analytics course University of Kent prepares you to tackle real-world business challenges using cutting-edge analytics tools and techniques.

AI Management in Computer Science for Business
AI Management in Computer Science for Business integrates technical expertise in Machine Learning and Data Science with fundamental business and IT skills.
Machine Learning, Sensors and Systems
The Master’s Programme in Machine Learning, Sensors and Systems from Blekinge Institute of Technology brings together electrical engineering and computer science – two fields that are essential for developing sustainable, smart systems in an increasingly connected world.
Machine Learning
Study the Machine Learning programme at Royal Holloway University of London and you’ll equip yourself with a set of crucial skills to assist in the development of the next generation of search and analysis technologies.

Artificial Intelligence
This Artificial Intelligence programme from Manchester Metropolitan University is now essential to how businesses and institutions operate.
Information Technologies (Thesis)
The aim of the Information Technologies (Thesis) programme at MEF University is to contribute to the development of a skilled workforce and to enhance the professional knowledge and skills of engineers working in the IT field, even if they did not receive formal education in this area.
Quantitative Economics and Finance
With its challenging curriculum, the Quantitative Economics and Finance programme at the University of St. Gallen (HSG) offers high-quality education in economics, econometrics and quantitative methods with a strong focus on finance.

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.
Machine Learning
The Machine Learning programme offered at the University of Warsaw was created as a response to the rapidly growing interest in information processing technologies in this area. The degree program is designed on the basis of well-functioning and long-established practices in the study field of computer science.
Master Signal ImaGe processing Methods and Applications (SIGMA)
This master proposes the students to deepen their knowledge and develop their expertise In the field of digital signal and image processing, computer sciences and information technologies. A particular emphasis is put on fundamental modern tools for signal and systems modeling, information extraction from experimental data as well as information representation and conditioning.

Artificial Intelligence (AI) and Machine Learning
Launch your career in the rapidly evolving field of artificial intelligence and machine learning. As huge advances change our world, get prepared for an exciting future. Learn more at Artificial Intelligence (AI) and Machine Learning course from the University of Birmingham.
Artificial Intelligence and Machine Learning
In this Artificial Intelligence and Machine Learning programme from Darmstadt University of Technology, students further develop their technical and interdisciplinary competencies in the area of artificial intelligence (AI) building on a preceding computer science bachelor's programme.
Machine Theory and Dynamics
Under the scope of the Master of Science program, courses in the areas of design, optimization, welding techniques, plasma metallurgy, vehicle technique, fracture mechanics, heat transfer, thermodynamics, energy, acoustics, robotics, automatic control, vibration, hydraulics and pneumatics are given. Learn more with Machine Theory and Dynamics from Dokuz Eylul University.

Natural Language Processing
This programme aims to develop your technical capabilities as well as a critical understanding of the ethical and social impacts of dealing with text data, covering technical aspects of the most recent and cutting-edge Natural Language Processing (NLP) technologies.

Mobile Communications and Smart Networking
The Mobile Communications and Smart Networking MSc course offered by the University of Southampton prepares you to become a capable wireless engineer. We'll help you build core areas of expertise, from understanding the fundamentals of wireless transmission, coding and signal processing, to building wireless transceivers and designing intelligent wireless networks.
Machine Learning and Machine Intelligence
Machine Learning and Machine Intelligence from University of Cambridge is an 11-month MPhil programme, taught from within our Information Engineering Division, with a unique, joint emphasis on both machine learning and machine intelligence.

Responsible Artificial Intelligence (Online)
The MSc in Responsible Artificial Intelligence (Online) from the university OPIT - Open Institute of Technology combines technical expertise with a focus on the ethical implications of modern AI, covering foundational and advanced concepts without extensive mathematical detail.
Data Science: Computer Science
The Master of Science in Data Science: Computer Science at Leiden University is a two-year programme designed for full-time study. This course provides students with advanced knowledge in data mining, machine learning, and statistical analysis, equipping them with essential skills for a career in data science.
Statistics and Machine Learning
Linköping University offers a Master's degree in Statistics and Machine Learning, comprising 120 credits. This full-time programme is designed to commence in Autumn 2025 and is delivered on-campus. Students will develop expertise in statistical modelling, machine learning, and data management, preparing them for advanced analytical roles.
Data Science and Business Management
This Data Science and Business Management, M.Sc. course from University of Aberdeen is designed to bridge the gap between data science and business management through an interdisciplinary approach that equips you with the critical business and data science skills necessary to establish or lead successful data science teams or enterprises.