Overview
The Computer Vision programme at Carnegie Mellon University is a professional degree designed to meet the growing global demand for experts in automated visual understanding. This 16-month curriculum provides students with a comprehensive foundation in the mathematical and machine learning tools essential for modern image analysis. By integrating theoretical study with practical application, the programme ensures graduates are ready for immediate impact in the technology sector.
Why Computer Vision at Carnegie Mellon University?
Students benefit from being part of the Robotics Institute, which hosts one of the largest academic computer vision groups in the world. The university provides access to world-class facilities and a faculty with expertise across a vast range of sub-disciplines. The programme is specifically structured to bridge the gap between academic research and industrial application, featuring a culminating capstone experience that addresses real-world challenges.
Tuition Fee Breakdown
- International fee: USD 60400 per year
- National fee: USD 60400 per year
- Local fee: USD 60400 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum requires the completion of 111 units, covering core foundations in geometry and recognition alongside specialised electives. Modules may include:
- Computer Vision
- MSCV Capstone
- Machine Learning
- Robot Learning
- Computational Photography
- Visual Learning & Recognition
- Geometry-based Methods in Vision
- Robot Localization & Mapping
- Internship
Careers with Computer Vision
Graduates are prepared for rapid advancement in a field that is transforming industries such as healthcare, automotive safety, and social networking. The skills acquired are highly sought after by major global organisations and innovative start-ups. Common career paths involve developing technologies for image-based internet searches, facial recognition, medical disease diagnostics, and autonomous vehicle systems. Many alumni secure positions at leading technology firms, including:
- Apple
- Amazon
- Microsoft
- NVIDIA
- Meta
- Adobe
- Qualcomm
The programme's focus on state-of-the-art algorithms and experimental analysis ensures that students are proficient in the development tools and metrics used across the modern tech landscape.
Programme Structure
Courses include:
- Computer Vision
- Mathematical Fundamentals for Robotics
- Machine Learning
- Visual Learning and Recognition
- Approved Elective Course
Key information
Duration
- Full-time
- 16 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Carnegie Mellon has adopted the method of assigning a number of “units” for each course to represent the quantity of work required of students.
Delivered
Campus Location
- Pittsburgh, United States
Disciplines
Artificial Intelligence Machine Learning View 104 other Masters in Machine Learning in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Undergraduate (B.S. or equivalent) in engineering, computer science or applied mathematics REQUIRED
- Standardized Test Completion
- General GRE REQUIRED
- TOEFL / IELTS (foreign students only) REQUIRED
- Application Materials
- Résumé
- Statement of Purpose (1 to 2 pages)
- Undergraduate/Graduate (as applicable) Transcripts
- Letters of Recommendation (3 REQUIRED)
Tuition Fees
-
International Applies to you
Applies to youNon-residents60400 USD / year≈ 60400 USD / year - Out-of-State60400 USD / year≈ 60400 USD / year
-
Domestic
Applies to youIn-State60400 USD / year≈ 60400 USD / year
Living costs
Pittsburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Computer Vision.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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