Stevens Institute of Technology
Online MS in Machine Learning
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $44.2K in total tuition, the Online MS in Machine Learning sits about 4% above the $42.4K average for AI master's programs in our database β placing it in the 66th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. GRE scores are optional for most programs.
About This Program
A fully online master's program focused on the theoretical concepts and practical tools necessary to design and deploy complex machine learning models. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 1.5 years.
Estimated total tuition is $44.2K, above the $42.4K average for AI master's programs in our database and in the 66th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Advance as Machine Learning Engineer in Cross-Industry AI with deep learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Advance as Machine Learning Engineer in Cross-Industry AI with deep learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. NLP Specialist
What You'll Learn
- Design and implement supervised, unsupervised, and reinforcement learning models.
- Apply deep learning techniques including neural networks and convolutional networks.
- Develop natural language processing systems for text analysis and generation.
- Optimize machine learning models using advanced algorithms and data visualization.
Curriculum Highlights
The 30-credit curriculum features courses in mathematical foundations, natural language processing, fundamentals of machine learning, and hands-on projects using Python.
Top Employers
Top employers include Google, Amazon, Microsoft, Meta, and AI-focused startups.
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. GRE scores are optional for most programs.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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