MasterOn-Campus, OnlineFull-Time

Stevens Institute of Technology

MS in Machine Learning

Hoboken, New Jersey1.5 $57K total tuition
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How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Est. Salary$135,000 Data Scientist
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Master of Science
Duration
1.5 years
Est. Tuition
$57K total
Format
On-Campus, Online
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Natural Language Processing (NLP), Machine Learning

Typical admitted student: 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.

About This Program

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

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. Data Scientist
  • 3. AI Research Scientist
  • 4. Applied AI Specialist

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]

Curriculum Highlights

The 30-credit curriculum features courses in mathematical foundations, supervised and unsupervised learning, and advanced electives in computer vision or robotics.

Top Employers

Top employers include Google, Meta, Microsoft, Amazon, OpenAI, and leading financial institutions specializing in quantitative analysis and algorithmic trading.

Admissions

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.

Application Materials

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

Academic Requirements

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

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