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.
Requirements
- Accredited bachelor's degree or higher
- Official transcripts
- GRE scores
- Two letters of recommendation
- TOEFL scores for international students, if applicable
School Accreditation Statement
Middle States Commission on Higher Education