189 Master's in Machine Learning in Europe
Online Artificial Intelligence
The Online Artificial Intelligence at Robert Kennedy College is the prime management qualification for managers. Designed for your success, the MBA creates distinctive managers with a comprehensive knowledge of the latest business practices.
Computer Vision
This Computer Vision at Autonomous University of Barcelona master has been designed to join the research expertise of four Barcelona universities to offer the students an updated programme of methods and foundations of an emerging technology as is computer vision, whose impact is increasing in a wide range of intelligent systems.
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.
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
The Master of Machine Learning program from Politehnica University Timisoara produces highly qualified specialists in the field of machine learning, able to develop efficient and high-performance artificial intelligence systems and to actively contribute to the evolution of the industry in this field.
Computer Science, specialisation in Machine Learning
Are you looking to take your expertise in computer science to the next level and become an expert in machine learning? Are you seeking an exciting and rewarding career with endless possibilities? Study the Master programme in Computer Science, specialising in Machine Learning and take a unique opportunity to develop your skills and knowledge in this exciting field.
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.
Statistical Science
The Statistical Science offered at the University of Oxford is a twelve-month full-time taught master’s degree running from October to September each academic year. The MSc has a particular focus on modern computationally-intensive theory and methods.
Communications and Signal Processing
This Communications and Signal Processing MSc programme from University of Leeds will give you a thorough introduction to the communications landscape, giving you an in-depth understanding of DSP, wireless communications, optical communications networks and the complex issues around network security. You can also study specialist modules such as embedded microprocessors or FPGA System-on-Chip.
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.
Life Science Informatics
The Life Science Informatics programme of the University of Bonn is designed to enable graduates to successfully meet the technical and economic challenges at the interface between biotechnology, medicine, pharmacy, and informatics.
Computer Science
The University of Bedfordshire offers a Master of Science (M.Sc.) in Computer Science, designed for those seeking a comprehensive understanding of the field. This course is available for full-time study, providing an in-depth exploration of modern computing technologies and practices.
Mechanical Engineering, Machines and Equipment Design
The Mechanical Engineering, Machines and Equipment Design programme offered by Ural Federal University offers courses that combine engineering theory and practice, focusing on the design and development of various mechanical devices and equipment.
Math of Machine Learning
The masters in Math of Machine Learning, administered jointly by HSE University’s Faculty of Computer Science in Moscow and Skoltech (Skolkovo Institute of Science and Technology), is a unique Russian programme in which leading experts at HSE and Skoltech provide instruction to the next generation of scientists in this exciting field.
Machine Learning and Deep Learning
This Machine Learning and Deep Learning degree at University of Strathclyde is for engineers and scientists looking to gain the necessary skills to be able to design these systems for use in industry.
Computational Statistics and Machine Learning
Deepen your expertise in machine learning and statistics through one of the most established Master’s programmes in this field taught at University College London (UCL). The Computational Statistics and Machine Learning MSc brings together vital knowledge in both subjects, enabling you to thrive as an expert in a data rich world.
Machine Learning and Statistics
The Machine Learning and Statistics program from Uppsala University will provide you with the knowledge, tools and skills to succeed in a wide range of different positions that involve the analysis of large amounts of data.
Machine Learning with a Year in Industry
Study Machine Learning with a Year in Industry 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.
Applied Mathematics
The Applied Mathematics MSc course offered at Imperial provides training in many different areas of applied mathematics, equipping you with a range of mathematical, modelling and presentation skills for problem-solving and research.
Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering
This Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering MSc degree from Tampere University is an engineering programme, with a particular emphasis on speech and audio; imaging and vision; media, retrieval, and mining. We study both classical and novel deep learning models as well as their software and hardware implementations.