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119 Master's degrees in Machine Learning in United States
Embarking on a Machine Learning programme in the United States can be a transformative experience for international students. With tuition fees ranging from €445 for the lower-end to €62,368 for the higher-end, and a typical fee around €26,382, it's essential to consider the financial aspect. Fortunately, 11% of programmes are designed to be accessible, ensuring that cost doesn't become a barrier to quality education.
Moreover, the flexibility of learning is a key advantage, with 44% of Machine Learning programmes offered online. This allows students to balance their studies with other commitments, making education more accessible than ever. The commitment of United States universities to Machine Learning is evident, with 7% of institutions offering programmes in this cutting-edge field. This widespread availability ensures that students have a plethora of options to choose from, each tailored to meet diverse academic and career goals.
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.
Computer Vision
The M.Sc. in Computer Vision at Carnegie Mellon University is a 16-month professional programme delivered in a full-time study mode. It provides advanced training in acquiring and interpreting visual imagery, combining rigorous coursework with a hands-on team project to prepare graduates for high-level roles in the industry.
Analytics
The Northwestern's University Master of Analytics program provides data scientists with a technical background in machine learning and artificial intelligence, complemented by the soft skills required to ethically lead.
Business Analytics
College of William & Mary's Business Analytics program is one of the few in the country that forms expert analysts and data scientists but do so all in the context of business.
Machine Learning and Data Science
In this Machine Learning and Data Science course offered by Coursera in partnership with Imperial College London, you will develop an in-depth understanding of machine learning methods, alongside invaluable practical skills and guided experience in applying them to real-world problems.
Technical and Professional Communication
The Technical and Professional Communication programme at Auburn University is a comprehensive Master’s degree designed for aspiring writers and editors. This full-time course focuses on the theory and practice of document design and web development, preparing students for diverse roles in industry or further doctoral study.
Analytics
Students in the M.S. in Analytics program from Georgetown University build a solid knowledge in data analytics fundamentals and then add skills in visualization, big data computing, and machine learning. Important soft skills such as communication, teamwork, and problem solving techniques are part of the training throughout.
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.
Business Analytics
Data, analytics, and privacy are shaping the 21st-century competitive landscape. Businesses are collecting more data than ever and need skilled analysts who can analyze, organize, and communicate the story of data into actionable information for business leaders. The Science in Business Analytics program is offered at Hamline University.
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.
Electrical and Computer Engineering (Machine Learning and Big Data)
The Master of Science in Electrical and Computer Engineering (Machine Learning and Big Data) at Duke University is designed to equip students with advanced skills in data analysis and machine learning. This programme typically spans several semesters, offering a comprehensive curriculum that can be pursued in a full-time or part-time format.
Data Science, Online
The M.S. in Data Science, Online at the University of Virginia is a part-time degree designed for working professionals. This programme spans five semesters, equipping students with essential skills in data analytics and problem-solving within the data science field.
Statistics and Machine Learning
In an increasingly data-driven world, the MS in Statistics and Machine Learning, from Claremont Graduate University (CGU), prepares you for a range of career possibilities in statistics and machine learning and helps you stand out in the marketplace.
Master of Business Administration in Artificial Intelligence (MBA in AI)
The Artificial Intelligence degree from Pennsylvania State University prepares leaders for a world where artificial intelligence defines competitive advantage.
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.
Universal Design for E-learning
The Master of Arts in Universal Design for Universal Design for E-learning is a fully online one-year project-based program at California State University. The program focuses on Universal Design for Learning principles, technology, instructional design, and inclusive teaching and learning.
Applied Machine Learning
The Applied Machine Learning program offered by University of Maryland is designed to prepare students for a career as an information engineer, data scientist, or data mining engineer.
Human Language Technology
For students interested in industry rather than academia, the Human Language Technology programme at The University of Arizona provides a balance of these disciplines, so you are prepared for a competitive workforce.