Program Overview
The Master of Science in Machine Learning program from Stevens Institute of Technology offers a comprehensive understanding of machine learning's theoretical and practical foundations.
Taught by experts, the program prepares students for successful careers in industry, academia, or research, with graduates landing roles at top-tier tech companies.
Available online and on-campus, the program provides flexibility, internships for international students, and a thesis
on-thesis option.
Program Outline
Degree Overview:
The Master of Science in Machine Learning program at Stevens Institute of Technology is designed to provide students with a comprehensive understanding of the theoretical and practical foundations of machine learning. The program aims to equip students with the skills and knowledge necessary to be at the forefront of progress in the next technological revolution. The program emphasizes both theoretical foundations and practical aspects, allowing students to apply or develop appropriate methods in real-world applications.
Objectives:
- Develop a thorough understanding of deep learning theory.
- Familiarize students with the most important paradigms in machine learning.
- Prepare students for successful careers in industry, academia, or research.
Teaching:
- The program is taught by recognized experts in the field of machine learning.
- The curriculum is well-balanced, providing students with practical skills needed for working in industry.
Careers:
- The program prepares students for a variety of roles in the field of machine learning, including:
- Research Scientist
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Data Engineer
- R&D Engineer
- The Stevens campus is located in the heart of the New York City metropolitan area, providing students with access to networking opportunities with industry leaders.
- The program offers both thesis and non-thesis options.
- Internships and Curricular Practical Training (CPT) are available for international students.
- The program is flexible and can be completed part-time or full-time.
