10 Master's degrees in Machine Learning in New York, United States
Applied Statistics
The Applied Statistics program of Rochester Institute of Technology focuses on data mining, design of experiments, health care applications, and the application of statistics to imaging and industrial environments.
Data Science and Engineering
The Data Science and Engineering programme at The City University of New York is a graduate-level course delivered at the Grove School of Engineering. This full-time curriculum integrates advanced computation and software engineering to prepare students for high-impact technical roles through expert-led data research.
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.
Artificial Intelligence and Machine Learning
Build the high-tech career of your dreams—and systems that will change the world—with a master’s degree in one of today’s fastest-growing fields: Artificial Intelligence and Machine Learning degree from Adelphi University.
Machine Learning
The M.Sc. in Machine Learning at Columbia University is a rigorous 30-point postgraduate programme designed for those seeking expertise in automated data analysis. Delivered in a public study mode, this curriculum focuses on high-level technical training in a rapidly evolving field, requiring a dedicated period of full-time study.
Computer Science
The M.S. in Computer Science at Columbia University is a rigorous postgraduate programme designed for those seeking to deepen their technical expertise. This public study mode course offers advanced training across diverse disciplines. Students engage in high-level research within a vibrant New York City academic environment.
Cybersecurity
The Cybersecurity Master's degree at The City University of New York provides advanced technical training for protecting global electronic infrastructure. This postgraduate programme offers flexible full-time or part-time study modes, allowing students to complete their education in just three semesters at the historic Grove School of Engineering.
Biomedical Data Science
The Master of Science in Biomedical Data Science at the Icahn School of Medicine at Mount Sinai is designed to equip students with essential skills for the evolving field of biomedical data. This full-time programme prepares graduates for impactful careers by harnessing data to enhance health outcomes and precision medicine.
Natural Language Processing
The M.Sc. in Natural Language Processing at Columbia University is a 30-point postgraduate programme designed for students seeking expertise in speech and text analysis. Delivered in a public study mode, this technical curriculum focuses on automating man-machine interactions and developing leading-edge language technologies.
Emerging Technologies
The M.Sc. in Emerging Technologies at New York University is a flexible 30-credit programme designed for the modern tech landscape. Available in a public study mode with both on-campus and online options, it offers customisable pathways in AI and innovation. Students typically complete this advanced degree within two years.