Get on the fast track to make an impact in one of today’s fastest growing fields with a machine learning master’s degree.

The machine learning master’s program establishes the theoretical and practical foundations necessary to be at the forefront of progress in the next technological revolution. Advancements made in machine learning and related disciplines will soon touch every piece of technology, making an advanced degree an essential asset for a successful career.

The rapidly expanding field of machine learning has a multitude of applications in diverse areas such as intelligent systems, computer vision, speech recognition, natural language processing, robotics, finance, information retrieval, bioinformatics, healthcare, and weather prediction.

Our unique machine learning master’s program develops a thorough understanding of deep learning theory and familiarizes you with the most important paradigms. This allows you to apply or develop the appropriate methods in real-world applications, whether pursuing a career in industry, academia, or research.

The Stevens Advantage

The Stevens campus is located in the heart of the New York City metropolitan area where over 7,500 tech companies are engaged in creating the future. Industry leaders like Google, Facebook, Amazon, Microsoft and Bloomberg, along with a vibrant startup scene are hiring tens of thousands of tech-professionals. Stevens’ location and long-history of career placement success in the tech industry provides you with networking opportunities you won’t find anywhere else in the U.S.

Learn more about research in the Department of Computer Science 

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Computer Science Research

Machine Learning Research

Stevens is a Premier Research Institution

The computer science department at Stevens offers you a maximum amount of flexibility to pursue research opportunities in cutting-edge, competitive areas of exploration like secure systems, machine learning, cryptography and visual computing. You’ll work with recognized leaders in the field, gain exposure to top industry labs and learn sought-after principles that will help propel your career. You may also choose between thesis and non-thesis options.