University of Central Florida
MS in Computer Vision
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $11.1K in total tuition, the MS in Computer Vision sits roughly 74% below the $42.4K average for AI master's programs in our database β placing it in the 5th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: Applicants must hold a bachelor's degree in computer science, electrical engineering, mathematics, or a closely related field, with a minimum GPA of 3.0. Prior coursework in linear algebra, calculus, and programming is typically required.
About This Program
This specialized master's program, offered by a top-ranked research center, provides comprehensive technical training in acquiring, analyzing, and understanding visual data from the real world. Coursework concentrates on Computer Vision and Machine Learning. Most students complete it in about 2 years.
Estimated total tuition is $11.1K, below the $42.4K average for AI master's programs in our database and in the 5th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Advance as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Advance as Machine Learning Engineer in Cross-Industry AI with machine learning expertise
- 1. Computer Vision Engineer
- 2. Machine Learning Engineer (Vision Focus)
- 3. Research Scientist
- 4. Autonomous Systems Developer
What You'll Learn
- Design and implement algorithms for image and video analysis using modern machine learning frameworks
- Apply deep learning techniques to solve real-world computer vision problems in detection, segmentation, and tracking
- Develop 3D reconstruction and modeling techniques for dynamic scene understanding
- Evaluate and optimize computational efficiency of vision systems for deployment in resource-constrained environments
Curriculum Highlights
The curriculum consists of core requirements in 3D computer vision and machine learning, supplemented by electives in virtual reality engineering and medical imaging.
Top Employers
Top employers include tech giants such as Google, Microsoft, Tesla, Amazon, and Apple, as well as defense contractors, robotics companies, and autonomous vehicle manufacturers.
Admissions
Applicants must hold a bachelor's degree in computer science, electrical engineering, mathematics, or a closely related field, with a minimum GPA of 3.0. Prior coursework in linear algebra, calculus, and programming is typically required.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
- Portfolio: Recommended (programming projects or research work)
Academic Requirements
- Degree Required: Master of Science (MS)
- GRE: Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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