Master of Science in Computer Vision (MSCV)

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

Program Prerequisites

An undergraduate degree in Computer Science is desirable but not required. Applicants without a strong undergraduate background in Computer Science must demonstrate an understanding of the material covered in the following upper-division undergraduate courses:

• EEL 4768C Computer Architecture
• COP 4020 Programming Languages I
• COP 4600 Operating Systems
• COT 4210 Discrete Computational Structures

Degree Requirements

Required Courses

• Complete the following:
  • 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

• Earn at least 12 credits from the following types of courses: All students are required to complete 12 credit hours of electives that are selected after consultation with the student's adviser. At least half of the credit hours of students must be at the 6000 level. Approval may be granted for no more than 6 credit hours of electives to be taken outside of Computer Science, and such approval must occur prior to taking any classes outside of the four listed below. CAP 5908 Independent Study CAP 6908 Independent Study COT 6505 - Computational Methods/Analysis STA 6106 - Statistical Computing

Grand Total Credits: 30

Application Deadlines

Financial Information

Graduate students may receive financial assistance through fellowships, assistantships, tuition support, or loans. For more information, see the College of Graduate Studies Funding website, which describes the types of financial assistance available at UCF and provides general guidance in planning your graduate finances. The Financial Information section of the Graduate Catalog is another key resource.

Fellowship Information

Fellowships are awarded based on academic merit to highly qualified students. They are paid to students through the Office of Student Financial Assistance, based on instructions provided by the College of Graduate Studies. Fellowships are given to support a student's graduate study and do not have a work obligation. For more information, see UCF Graduate Fellowships, which includes descriptions of university fellowships and what you should do to be considered for a fellowship.