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7 Full-time Master's in Machine Learning in Netherlands

Speech Technology
The Speech Technology programme at University of Groningen provides production-level skills in neural speech recognition, voice synthesis, and machine learning deployment, combined with a strong foundation in linguistics.

EMAI - Erasmus Mundus Joint Master in Artificial Intelligence
The EMAI - Erasmus Mundus Joint Master in Artificial Intelligence, coordinated by Pompeu Fabra University, is a two-year Erasmus Mundus joint Master founded by the European Commission, that provides a comprehensive framework of theory and practice in Artificial Intelligence (AI).

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.
Computational Cognitive Science
The Master's degree programme in Computational Cognitive Science from University of Groningen focuses on Cognitive Science and its applications.
Data Science: Computer Science
The Data Science master's specialisation equips you with state-of-the-art knowledge on the foundations and algorithmic aspects of data mining, machine learning, and statistical data analysis.
Research in Physics Classical Quantum Information
This master’s programme combines Physics with Data Science. You will learn how physics has its own tricks to deal with big data and how techniques from machine learning and deep learning can be applied to classical and quantum data. The first focus of attention is on classical data, including data mining, machine learning and statistical analysis of large data sets.
Responsible Data Science
Responsible Data Science is offered at Maastricht University. Wanted: Pioneers in Responsible Data Science! From healthcare algorithms to smartphone AI, data is everywhere. But who ensures fairness, transparency, and safety? Responsible Data Science teaches you how to lead the way!