Computer vision is a dynamic field of study that allows computers to acquire, process, and analyze data from digital images or videos in real time. The rapid development of computer vision has had an immense impact on technologies such as autonomous vehicles, industrial robotics, data analytics, surveillance systems, and more. As the demand for scientists and engineers trained in this field grows, the Master of Science in Computer Vision will prepare you to thrive in this new age of technology.
In this program, you will build upon your foundation in mathematics and high-level programming and be given the opportunity to build your own computer vision technologies to solve real-world problems. By the time you complete the program, you will be fluent in tools and techniques that have multiple applications across industries such as manufacturing, medicine, big data, and security, just to name a few.
If you are excited to be a part of rapidly expanding research efforts and advancements in computer vision, the MS in Computer Vision program is for you.
Who Should Pursue This Degree?
This program is geared toward graduates who have a bachelor’s degree in computer science or a related field. It aims to bridge the knowledge gap between basic foundations in machine learning and industry-standard applications of computer vision by further advancing your understanding in mathematics and computer science principles. In addition, you will learn to design and develop your own computer vision software.
As an MS in Computer Vision student, you will spend time on coursework in mathematics and computer science to gain deep, foundational knowledge in computer vision. The capstone project at the end of the program will give you the opportunity to advance your professional career through hands-on experience and practical applications of your study, as you build toward a full, working prototype of your project.
In order to apply for the MS in Computer Vision program, you must have completed a bachelor’s degree, ideally in computer science or a closely related field such as engineering, IT, or applied math.