Computer Vision, MS

Program Introduction

The Master of Science in Computer Vision program at Carnegie Mellon University (CMU) is a specialized degree jointly offered by the Robotics Institute (RI) and the School of Computer Science (SCS), providing students with in-depth theoretical knowledge and practical skills in the field of computer vision. The program comprehensively covers core areas of computer vision including image processing, pattern recognition, machine learning, deep learning, 3D vision, and video analysis, designed to develop students' ability to solve real-world vision problems. This program is designated as a STEM (Science, Technology, Engineering, and Mathematics) field, allowing international students to benefit from up to 36 months of Optional Practical Training (OPT) after graduation. The master's program typically spans 16 months (four semesters), offering students opportunities to learn from state-of-the-art research facilities and world-renowned experts in the field of computer vision. Carnegie Mellon's Robotics Institute is a leader in computer vision research, conducting innovative research in various application areas including autonomous vehicles, medical imaging, augmented reality, and robot perception. Students learn the latest algorithms, models, and tools through theoretical lectures and hands-on projects, gaining experience applying vision techniques to real problems through collaborations with industry and academic partners. This comprehensive educational approach prepares graduates for successful careers as computer vision specialists in technology companies, research institutions, and startups.