Program at a Glance
- Program
- Master
- College(s)
- College of Engineering and Computer Science
- Department(s)
- Computer Science


The Master of Computer Vision Program (MSCV) aims to provide technical skills and domain knowledge to the future professionals in acquiring, processing, analyzing, and understanding images, videos, 3D data, and other types of high-dimensional data of the real world. The fast-growing interests and investments in Artificial Intelligence (AI) have to be powered by a well-prepared workforce. This program meets the need created by the United States' shortage of AI personnel.
The curriculum for this degree program includes 6 required classes (18 credit hours) which form the backbone of graduate study for the field.
The remaining 12 credit hours can be selected from the list of elective courses. Electives outside of the provided list require approval from the student's adviser and program coordinator.
Total Credit Hours Required: 30 Credit Hours Minimum beyond the Bachelor's Degree

Highlights




Application Deadlines
- Fall
- July 1
- Spring
- December 1
Application deadlines subject to change, see the Graduate Studies website for up-to-date deadlines.
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Course Overview
Computer Vision
Learn about image formation, binary vision, region growing and edge detection, shape representation, dynamic scene analysis, texture, stereo and range images, and knowledge representation.
Machine Learning
Explore the origin/evaluation of machine intelligence; machine learning concepts and their applications in problem solving, planning and “expert systems” symbolic role of human and computers.
Medical Image Computing
Gain the foundation necessary for understanding, visualizing and quantifying medical images with computational methods. Topics include NeuroImaging: fMRI, DTI, MRI, Connectome, Basics of Radiological Image Modalities and their clinical use, and Medical Image Segmentation.
The world is producing more visual data than ever before, so the demand and applications for computer vision are expanding at a rapid pace. For instance, for self-driving cars, medical imaging, safety, security and national defense.””
Computer Vision Skills You’ll Learn
- Write programs to conduct and perform analysis of visual data.
- Design and implement new algorithms for recognition, segmentation, indexing, tracking and editing.
- Perform data acquisition for extremely large and dynamic visual sources.
- Present and communicate expertise in a clear and concise manner accessible to the general public.
Career Opportunities
- Research Engineer
- Computer Vision Specialist
- Machine Learning Engineer
- Robotics Engineer
- Medical Imaging Specialist
Computer Vision News



