Program Overview
The Computer Vision at Carnegie Mellon University is a MSc programme in Computer Science & IT over 16 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of computer science & it. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Computer Vision programme are well-prepared for careers in academia, industry, government, and the private sector across United States and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Duration: 16 months
- Language of instruction: English
- Study mode: On-campus
- Tuition: USD 67,500 (Tuition (Full programme)) — International students; USD 67,500 (Tuition (Full programme)) — National students
- Location: Pittsburgh, United States, United States
Career Opportunities
Graduates of the Computer Vision programme are prepared for diverse careers in computer science & it:
- Software Engineer / Developer
- Data Scientist
- Machine Learning Engineer
- IT Project Manager
- Cybersecurity Analyst
- Cloud Solutions Architect
Program Curriculum
Course Structure
- Introduction to Machine Learning
- Mathematical Fundamentals for Robotics
- Visual Learning and Recognition
- Geometry-based Methods in Vision
- Vision Sensors
- Designing Computer Vision Apps
- Physics-based Methods in Vision
- Statistical Techniques in Robotics
- Robot Localization and Mapping
- Special Topics: The Visual World as seen by Neurons\nand Machines
- Special Topics: Big Data Approaches in Computer Vision
- Special Topics: Human Analysis
- Parallel Computer Architecture and Programming
- Cloud Computing
- Parallel Computer Architecture and Programming
- Computer Graphics
- Computational Photography
- Artificial Intelligence: Representation and Problem\nSolving
- Special Topics in Theory: Spectral Graph Theory
- Planning, Execution, and Learning
- Statistical Machine Learning
- Deep Reinforcement Learning & Control
- Probabilistic Graphical Models
- Convex Optimization
- Large-Scale Multi-media Analysis
Admission Requirements
Academic Requirements
Admission & Application Requirements
Undergraduate (B.S. or equivalent) in engineering, computer science or applied mathematics\xc2\xa0REQUIRED
Standardized Test Completion
- General GRE\xc2\xa0REQUIRED
- TOEFL / IELTS (Foreign Students only)\xc2\xa0REQUIRED
Application Materials
- R\xc3\xa9sum\xc3\xa9
- Statement of Purpose (1 to 2 pages)
- Undergraduate/Graduate (as applicable) Transcripts
- Letters of Recommendation (3 REQUIRED)
Tuition & Financial Information
Tuition Fee
USD 67,500 (Tuition (Full programme)) — International students; USD 67,500 (Tuition (Full programme)) — National students
Tuition fees: USD 67,500 (Tuition (Full programme)) — International students; USD 67,500 (Tuition (Full programme)) — National students
Financial Aid & Scholarships
Contact Carnegie Mellon University directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.
About Carnegie Mellon University
Carnegie Mellon University
Pittsburgh, United States
Carnegie Mellon University is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their chosen fields....
University Profile- Start Date 2018-08-01
- Language English
- Duration 16 months