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398 Master's degrees in Machine Learning
Visual Computing
The Visual Computing program of the University of Nantes is an academic curricular of the Computer science Master's Degree.
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.
Mathematical Statistics and Machine Learning
The Mathematical Statistics and Machine Learning program at Stockholm University offers you a broad platform, with courses in classical mathematical statistics and more recent courses in statistical learning, and with vast opportunities to specialise and form a unique profile.
Electrical and Computer Engineering - Machine Learning and Signal Processing
Electrical and Computer Engineering - Machine Learning and Signal Processing from the University of Wisconsin Madison is a named option in the Electrical and Computer Engineering MS.
MSc AI and Machine Learning (Online)
This programme empowers you to seize the full potential of AI. Through cutting-edge insights and practical tools, you will learn to create and scale intelligent systems that can redefine entire sectors and drive real impact. Master key concepts like neural networks and machine learning, and position yourself to lead in a world shaped by AI.
Master TSI - Mobile, Autonomous and Robotic Systems (MARS)
MARS is an advanced academic program on mobile robotic and autonomous systems. This highly competitive program includes advanced courses in artificial intelligence, control theory, drones, embedded systems, diagnostic and reliability, cybersecurity and intelligent mobility. In addition, a 5 to 6-month internship, is conducted in a laboratory or within an industrial research center.

Computer Science - Data Science
The Computer Science - Data Science programme of Trinity College Dublin is designed and taught by staff who are leading experts in their fields, and the course content is inspired by their cutting-edge work as well as their contacts with leading industry researchers around the globe.

Deep Learning
At the Deep Learning programme at Udacity build foundational skills in deep learning by designing and training neural networks to solve complex real-world problems.
Machine Learning, Systems and Control
The Master’s programme in Machine Learning, Systems and Control from Lund University prepares students for a flexible future-proof career within this general area where advanced algorithms are used to analyse large datasets in a wide range of applications combining methods of statistical analysis, mathematics, signal processing, image analysis and control theory.
Management in Artificial Intelligence
The Management in Artificial Intelligence course from Queen's University allows you to earn a world-class degree in just 12 months without leaving your current job.
Mathematics (Nizhny Novgorod)
The Master's programme in Mathematics (Nizhny Novgorod) at HSE University is an English-language double degree programme of HSE and the University of Passau (Germany), which foresees one year of study in Germany. The programme trains specialists for PhD programmes at high-ranking world universities and high-tech industries, where mathematical skills are essential.
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.
Spatio-temporal Analytics and Big Data Mining
This one-year MSc in Spatio-temporal Analytics and Big Data Mining at UCL is designed to equip students with advanced skills in GIScience, data mining, and analytics. Offered in both full-time and part-time formats, this programme prepares graduates to tackle complex spatio-temporal datasets, enhancing their career prospects in various data-driven industries.
Data Science
The Master of Science in Data Science at the University of Stavanger is a two-year programme designed for engineering graduates. This course offers a comprehensive online learning experience that equips students with the skills needed to excel in machine learning and artificial intelligence, preparing them for a competitive job market.
Computer Science
The Field of Computer Science at Cornell University is intended for students who are primarily interested in the general aspects of computational processes, both theoretical and practical.

Machine Learning and Big Data
The Master of Machine Learning and Big Data at University of Wollongong provides you with skills and abilities to solve complex real-world problems by teaching you how to develop and deploy computer applications, while integrating computer science methods with effective management strategies.
International Master in Mining Engineering
The International Master in Mining Engineering is a new Joint Degree Programme between Instituto Superior Técnico (University of Lisbon) and China University of Mining and Technology (Beijing, China).
Intelligent Interactive Systems
Intelligent Interactive Systems at Pompeu Fabra University addresses both trends, focusing on the design, analysis and development of agents and robots able to interact intelligently with humans and other agents, that is, agents that can perceive, plan, act, learn and communicate.

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.
Computational Engineering
The Master of Science in Computational Engineering at the University of Stavanger spans two years and is conducted in English. This programme equips students with vital skills in engineering, programming, and computer modelling, preparing them to address contemporary engineering challenges effectively.