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Master's in ML
On-Campus, Online

Stevens Institute of Technology | MS in Machine Learning

  • Hoboken


About This Program

A comprehensive graduate program that builds a rigorous foundation in machine learning theory and practical implementation for industry or research careers.

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What You'll Learn
  • Design and implement machine learning models using supervised and unsupervised learning techniques[1][2]
  • Develop deep neural networks and apply advanced optimization methods to solve complex problems[1]
  • Apply machine learning to real-world challenges through capstone projects and industry partnerships[1][2]
  • Master mathematical foundations including linear algebra, statistics, and probability for data science applications[1]
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Science in Machine Learning is a two-year graduate degree focused on advanced machine learning theory, algorithms, deep learning, and practical applications in AI-driven systems.[1][2
Typical Course Topics
1. Machine Learning Foundations and Algorithms[1][2] 2. Deep Learning and Neural Networks[1][2] 3. Natural Language Processing[1][2] 4. Data Mining and Big Data Analytics[1][2] 5. Reinforcement Learning[1][2] 6. Applied Mathematics and Statistical Methods for Machine Learning[1]
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, with a strong GPA (3.0 or higher). Relevant coursework in programming, linear algebra, and statistics is preferred.
Academic Requirements (Typical)

• Degree Required: Master of Science
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Excel as Machine Learning Engineer in Cross-Industry AI with natural language processing expertise

Estimated Industry Salary
Machine Learning Engineer: $135,000 Data Scientist: $120,000 AI Research Scientist: $128,000 Software Engineer (ML specialization): $125,000
Total compensation (entry to mid-level)
AI Job Growth
36%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Research Scientist 4. Applied AI Specialist
Top AI Employers (Industry-Wide):
Top employers include Google, Meta, Microsoft, Amazon, OpenAI, and leading financial institutions specializing in quantitative analysis and algorithmic trading.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
$ 56,970
Format
On-Campus, Online
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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