Master of Science in Computer Vision (MSCV)

Program Overview

The Master of Science in Computer Vision program at the University of Central Florida equips students with the technical skills and knowledge to excel in the rapidly growing computer vision field. Graduates are prepared for careers as research engineers, computer vision specialists, machine learning engineers, and medical imaging specialists. UCF's strong research program in computer vision, ranked among the top 10 nationally, provides students with opportunities to apply classroom learning to cutting-edge research.

Program Outline

Degree Overview:

The Master of Science in Computer Vision (MSCV) program at the University of Central Florida (UCF) equips students with the technical skills and domain knowledge necessary to succeed in the rapidly growing field of computer vision. The program focuses on acquiring, processing, analyzing, and understanding images, videos, 3D data, and other high-dimensional data from the real world, utilizing the latest machine learning techniques. UCF is the only public university in the U.S. offering a Master of Computer Vision degree. The program leverages UCF's strong research program in computer vision, ranked among the top 10 nationally. Students can apply classroom learning to current research, contributing to the development of future computer vision industries. The program offers valuable industry experience through internships and networking opportunities with high-tech partners like Lockheed Martin, Elbit Systems, L3Harris, DRS, Accenture, and SRI. Graduates are prepared to use modern technology to benefit society, both locally and globally.

Outline:

The MSCV program requires a total of 30 credit hours beyond the Bachelor's Degree. It consists of 6 required courses (18 credit hours) and 12 elective credit hours.

Required Courses (18 Credit Hours):

• CAP5415 - Computer Vision (3)
• CAP6411 - Computer Vision Systems (3)
• CAP6412 - Advanced Computer Vision (3)
• CAP6419 - 3D Computer Vision (3)
• CAP5516 - Medical Image Computing (3)
• CAP5610 - Machine Learning (3)

Elective Courses (12 Credit Hours):

• Students must complete 12 credit hours of electives, chosen in consultation with their advisor.
• At least half of the elective credit hours must be at the 6000 level.
• Up to 6 credit hours of electives can be taken outside of Computer Science, with prior approval from the advisor and program coordinator.
• Approved electives outside of Computer Science include:
• CAP 5908 Independent Study
• CAP 6908 Independent Study
• COT 6505 - Computational Methods/Analysis
• STA 6106 - Statistical Computing

Careers:

Graduates of the MSCV program are prepared for a variety of careers in the computer vision field, including:

• Research Engineer
• Computer Vision Specialist
• Machine Learning Engineer
• Robotics Engineer
• The program emphasizes the growing importance of computer vision in various fields, including self-driving cars, medical imaging, safety, security, and national defense.
• The Center for Research in Computer Vision at UCF has extensive expertise and received $3.79 million in research funding last year in areas such as video surveillance, facial recognition, and biomedical image analysis.
10 nationally by CSRankings.org from 2010-2020.