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MSCV Brochure


The Master of Science in Computer Vision (MSCV) Program aims to provide technical skills and domain knowledge to the future professionals who seek to acquire expertise in Computer Vision and its related areas. This involves proficiency in acquiring, processing, analyzing, and understanding images, videos, 3D data, and other types of high-dimensional data of the real world. The program consists of a total of 30 credit hours. The fast-growing interests and investments in Artificial Intelligence (AI) in the United States and around the world have to be powered by a well-prepared workforce. This program contributes to meetin the need created by the United States’ shortage of AI personnel.


MS Degree Requirements

The MS degree will be 30 credit hours at the graduate level. Students must take 6 required courses and remaining 4 courses from the electives list to get to the program total of 10 classes. No thesis is required, but the independent study course will provide an independent learning experience.


  1. CAP 5415 – Computer Vision
  2. CAP 5610 – Machine Learning
  3. CAP 6411 – Computer Vision Systems
  4. CAP 6412 – Advanced Computer Vision
  5. CAP 6419 – 3D Computer Vision
  6. CAP 6908 – Independent Study (this course must be registered with a Computer Vision faculty either from CRCV or a faculty in a very closely related program)

Electives (Choose any four):

  1. CAP 5516 Medical Image Computing
  2. STA 6107 Statistical Computing 2
  3. CAP 6908 Independent Study TWO (taken in Computer Vision, with someone from CRCV or very closely related)
  4. CAP 5115 Virtual Reality Engineering
  5. CAP 6671 Intelligent Systems: Robots, Agents, and Humans
  6. CAP 6614 Current Topics in Machine Learning
  7. CAP 5619 Artificial Intelligence for FinTech
  8. CAP 6121 3D User Interfaces for Games and Virtual Reality
  9. CAP 6640 Computer Understanding of Natural Language
  10. STA 6238 Logistic Regression
  11. STA 5703 Data Mining Methodology 1
  12. EEL 5820 Image Processing
  13. MAP 6197 Mathematical Introduction to Deep Learning
  14. One from {COT 5405, CDA 5106, or other CS graduate class}
  15. CAP 5636 Advanced Artificial Intelligence
  16. EEL 5825 Machine Learning and Pattern Recognition
  17. STA 5104 Advanced Computer Processing of Statistical Data
  18. STA 6106 Statistical Computing I
  19. EEL 5669 Introduction to Robotics and Autonomous Vehicles

Firm RULE: At least half of the 10 program classes must be at 6000-level or higher.

MSCV Spotlight

Application Deadlines

July 1
December 1

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Plan of Study (POS)

The Plan of Study (POS), sometimes referred to as the Program of Study, is an agreement between the student, the program, and the University that lists the coursework taken to satisfy the requirements for completing the degree. The POS for students is flexible and unique to each student. However, it must meet university, college, and department rules for minimum number of hours, etc. (see Degree Requirements, above).

All graduate students must have a Plan of Study (POS) on file, approved by the advisor and graduate coordinator, by the completion of 9 credit hours after entering the program. This is mandatory! The College of Graduate Studies automatically places a “hold” on future registration for non-compliance. The default advisor for non-thesis MS students is the Graduate Coordinator.

Deadlines for submission of the POS are October 15 for Fall semester and March 15 for Spring semester.

The POS can, and usually will, be revised later to reflect changes in the courses actually taken, but it is crucial that a POS be on file, signed by the student and the faculty advisor, and approved by the Graduate Program Coordinator. Any variation from the POS must be approved by the Graduate Program Coordinator and then immediately reflected in an updated POS.

Synopsis/Time Line

  1. International Student Application Deadline – Advertised as February 23 but we will accept applications until March 1, 2021
  2. Domestic Student Application Deadline – July 1, 2021
  3. Admission into the MS program
  4. File an initial Plan of Study (by the 9th credit hour)
  5. Complete coursework
  6. Prepare and submit Portfolio

Graduate Contact Info

Advising and Approval
Dr. Niels Lobo
Phone: (407) 823-2873

Graduate Program Assistant
Diana Poulalion
Phone: (407) 823-3027