NJ

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

Students gain in-depth knowledge of deep learning and natural language processing while developing proficiency in Python-based implementation and algorithm development.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 30-credit curriculum features courses in mathematical foundations, supervised and unsupervised learning, and advanced electives in computer vision or robotics.
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.

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Career Opportunities in AI

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

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

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
36.0%
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.
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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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