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Master's in ML
On-Campus

Carnegie Mellon University

Master’s in Machine Learning (5th-Year option)

  • Pittsburgh
About This Program

This program allows Carnegie Mellon undergraduates to complete a Master of Science in Machine Learning in one additional year of study.

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What You'll Learn

Students will master advanced machine learning techniques, statistical methods, and data analysis to solve complex computational problems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum features core courses in machine learning and statistics, a summer research practicum, and advanced electives in computer science.
Typical Course Topics
1. Machine Learning Theory 2. Deep Learning 3. Probabilistic Graphical Models 4. Reinforcement Learning 5. Statistical Methods in Machine Learning 6. Optimization for Machine Learning
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 coursework in probability, statistics, linear algebra, and calculus. International students need TOEFL (100+), IELTS (7.5+), or Duolingo (120+) scores.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.5+)

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 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: $150,000
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. ML Systems Engineer
Top AI Employers (Industry-Wide):
Top employers include Google, Meta, Amazon, Microsoft, and research labs like OpenAI.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 30,204
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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