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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
  • Design and implement advanced machine learning algorithms for real-world data.
  • Apply probabilistic modeling and statistical inference to complex datasets.
  • Develop deep learning architectures for tasks like computer vision and NLP.
  • Optimize ML systems for scalability and deployment in production environments.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master's in Machine Learning (5th-Year option) at Carnegie Mellon University is an 18-24 month graduate program offered by the Machine Learning Department, with an accelerated path for CMU undergraduates focusing on advanced ML theory, algorithms, and real-world applications.
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
AI Engineering / Applied AI
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.

Check Application Deadlines
Career Opportunities in AI

Excel as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $150,000
Total compensation (entry to mid-level)
AI Job Growth
36%
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
AI Engineering / Applied AI
Official Resources
Program Website
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