- Home
- Programmes
- Machine Learning
398 Master's degrees in Machine Learning

Natural Language Processing
Master Natural Language Processing with this comprehensive Natural Language Processing programme at Udacity.

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.
Applied Cognition and Neuroscience
The Master of Science in Applied Cognition and Neuroscience (ACN) program at University of Texas at Dallas is an applied multidisciplinary program that incorporates and integrates methodologies from such diverse fields as psychology, neuroscience, computer science and philosophy.
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.
Emerging Technologies
In the Emerging Technologies Master of Science program at New York University Tandon, you will have the freedom to design a unique curriculum engineered by you to match your interests and professional aspirations.
Data Science (Professional)
The Master of Data Science (Professional) at Deakin University is a two-year programme designed for both full-time and part-time study. This advanced degree equips students with the essential skills to analyse and interpret data, enabling informed decision-making in various industries.
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.
Neural Networks and Neural Computers
Neural Networks and Neural Computers from Moscow Institute of Physics and Technology (MIPT) provides you various tracks for researching: signal, text and image processing, robots control, cybersecurity, neural hardware design.
Computer Vision and Image (Research)
Computer Vision and Image (Research) from Universiti Kebangsaan Malaysia program is a research and thesis mode.
Computer Science
Experts in computer science are needed more and more in today’s digital society. A master’s degree in Computer Science from Florida Institute of Technology provides students with the technical expertise they need to enter top careers such as information technology, database administration, systems engineering, software development, software architecture, and IT systems analysis.
Machine Learning
Machine Learning is increasingly used by many professions and industries such as manufacturing, retail, medicine, finance, robotics, telecommunications and social media. Graduates from the Machine Learning programme at KTH Royal Institute of Technology will be experts in the field, qualified for exciting careers in industry or doctoral studies.

Artificial Intelligence (Machine Learning)
The Artificial Intelligence (Machine Learning) programme from Liverpool John Moores University is a very topical course, combining theory and practical aspects of machine learning with a view to forming capable professionals for the jobs market in this field.

Artificial Intelligence and Machine Learning
The Artificial Intelligence and Machine Learning degree at University of Brighton prepares you for in-demand roles like machine learning engineer, data scientist and AI developer, or for a career in research.

Computer Science (Conversion)
The University of Liverpool Online MSc Computer Science (Conversion) is designed for professionals from non-computer science backgrounds seeking to transition into technology careers. BCS-accredited and delivered entirely online, this programme covers software development, programming, systems analysis, and cutting-edge computer science research.
Computer Science
Computer Science at Michigan State University encompasses the broad areas of information processing and problem solving using digital computers. Students learn to analyze, design, and build integrated software and hardware digital systems that process, transmit, and reason about information in order to solve problems.
Information Technologies (Non-Thesis)
The Information Technologies (Non-Thesis) programme at MEF University is aimed to contribute to the development of a skilled workforce in an area as important and attractive as Information Technologies and to enhance the professional knowledge and skills of engineers working in this field, even if they did not receive formal undergraduate education in this subject.
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.