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Machine Learning Master's Program

Program Details

Degree

Master of Science

Available

On Campus & Online

Contact

Graduate Admissions1.888.511.1306graduate@stevens.edu
Apply Now

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

U.S. News and World Report Best Grad Schools Computer Science 2023-24The 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.


USWNR 2024 Best Online Grad Computer Information Technology BadgeJoin a Top 15 Online Information Technology Program

Stevens is among the top 15 in the nation for "Best Online Graduate Information Technology Programs" in 2024 by U.S. News and World Report. 


The Stevens Advantage: Widen Your Career Options

Student at multiple computer screens in Canavan Arena during 2023 Stevens Innovation ExpoThe 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 what makes graduate education from Stevens a unique experience:

  • Graduate Cooperative Education Program: Available with two tracks, your co-op experience can serve as a starting point for a research project or augment your on-campus research with complimentary experience.

  • International Student Experience: Tap into our expanding worldwide network of research, academic and alumni partners and mentor with our expert faculty in a number of federally-designated STEM degree programs. Optional Practical Training (OPT) or Curricular Practical Training (CPT) is available to gain work experience in your major/field of study.

  • State-of-the-Art Research Labs and Facilities: Build, tinker and test your designs in Stevens' MakerCenter, Prototype and Object Fabrication Lab, or numerous other research facilities.

  • Research Opportunities: Renowned faculty, labs and research centers – as well as industry partnerships and funding from leading national agencies – support strategic and interdisciplinary research in engineering and science.

The machine learning master's program is available fully online and is a Top 10 Online Graduate Computer Information Technology program by US News and World Report.


Image of individuals in a computer research labMore opportunities for Stevens graduate students include:

Find out more about life as a graduate student in the Department of Computer Science at Stevens by visiting the links below.


Program Admission Requirements


Graduate Programs That Advance Your Career

A recruiter and a Stevens student shake hands at a career event.The machine learning master's program develops in-demand knowledge and skills to put you on track for success in a variety of roles like:

  • Research Scientist

  • Machine Learning Engineer

  • Data Scientist

  • Business Intelligence Developer

  • Data Engineer

  • R&D Engineer

Our graduates have been hired at: Amazon, Bloomberg, Facebook, Google, IBM, Intel


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