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Master's in ML
On-Campus

Carnegie Mellon University

Master’s in Machine Learning

  • Pittsburgh
About This Program

This graduate degree offers rigorous study in the theory and application of machine learning for professionals seeking advanced technical roles.

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What You'll Learn

Students develop proficiency in neural networks, natural language processing, and multimodal learning to solve high-stakes data challenges.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program includes a series of core courses in machine learning and statistics, along with a variety of specialized technical electives.
Typical Course Topics
1. Foundations of Machine Learning 2. Deep Learning 3. Natural Language Processing 4. Probabilistic Graphical Models 5. Reinforcement Learning 6. Machine Learning for Large-Scale Data
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, statistics, or a related field with a minimum GPA of 3.0, strong programming skills, and backgrounds in probability, statistics, matrix algebra, and multivariate calculus.
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: 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 machine 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: $145,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. Applied Machine Learning Specialist
Top AI Employers (Industry-Wide):
Top employers include Google, Meta, Amazon, Microsoft, and research institutions like OpenAI.
Explore AI Career Paths
Program Details
Duration
  • 1.33 Year
Tuition
  • 120,800
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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