Master of Engineering in Machine Learning
Stevens Institute of Technology

Program Details

The Master of Engineering in Machine Learning degree program at Stevens Institute of Technology consists of courswork in theory, analysis, machines, and technology. Outcomes of the program include:

  • Understanding theories related to machine algorithms
  • Using machine learning to predict and make decisions
  • Use predictive methodologies
  • Build learning models to help aid success
  • Interpret regression and classification results

Throughout the plan of study, students will take a variety of electives and core courses, providing a well-rounded foundation of graduate knowledge that can carry students through a variety of careers in machine learning.

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School Accreditation & Licensing

Stevens Institute of Technology is accredited by:

Middle States Commission on Higher Education (MSCHE)

Program Requirements & Restrictions

Minimum Education

Bachelor Degree

Admission Tests

GRE, Proof of English Language Proficiency (International Students)

Application Requirements

Official College Transcript(s), Recommendation/Reference Letter(s)