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

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.
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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