IL

Master's in ML
On-Campus

Northwestern University

MS in Machine Learning and Data Science

  • Evanston
About This Program

A professional master’s degree that combines mathematical and engineering foundations with business intelligence to produce data-driven industry leaders.

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What You'll Learn

Students master supervised and unsupervised learning, reinforcement learning, and federated learning while working on industrial-sponsored projects.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum integrates statistics, deep learning, optimization, and communication through a mix of technical coursework and professional internships.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning and Neural Networks 3. Big Data Technologies 4. Statistical Analysis and Probability 5. Data Visualization and Communication 6. Predictive Analytics
Program Specializations:
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in a quantitative field such as computer science, mathematics, statistics, or engineering is required, along with a minimum GPA of 3.0 and prerequisite coursework in calculus, linear algebra, programming, and statistics.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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

Lead as Data Scientist in Cross-Industry AI with deep learning 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: $130,000 Data Scientist: $120,000
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. Data Analytics Manager
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, IBM, and consulting firms like McKinsey and Deloitte.
Explore AI Career Paths
Program Details
Duration
  • 1.25 Year
Tuition
  • 163,460
Format
On-Campus
Specializations
MLOps/AI Engineering
Official Resources
Program Website
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