Graduate Certificate in Artificial Intelligence

Information about the credit-bearing, degree-leading graduate certificate in Artificial Intelligence offered through UTA's Computer Science and Engineering Department

The credit-bearing, degree-leading graduate certificate in Artificial Intelligence is offered through the Computer Science and Engineering (CSE) Department. The program is intended to give those who successfully complete it an ability to understand different AI techniques that have been used for solving real world problems; an ability to understand the differences and uses of different AI techniques in order to choose from them for solving a problem at hand; and an ability to apply this knowledge to subject areas, such as robotics, image processing, speech recognition, health informatics and bioinformatics, and social networks data.

Our Artificial Intelligence Certificate is intended to give those who successfully complete it:

  • An ability to understand different AI techniques that have been used for solving real world problems
  • An ability to understand the differences and uses of different AI techniques in order to choose from them for solving a problem at hand
  • An ability to apply this knowledge to subject areas, such as robotics, image processing, speech recognition, health informatics and bioinformatics, and social networks data

This certificate consists of four graduate level courses that candidates may use toward an MS or Ph.D. degree upon completion of the certificate. Candidates may be asked to complete an additional Foundation of Computing class if their bachelor’s degree is not a from computer-related field.

All completed certificate coursework can be applied towards an MS or PhD degree.

The Certificate is managed by:

  • Dr. Manfred Huber, administrator, Professor
  • Dr. Vassilis Athitsos, co-administrator, Professor
  • Dr. Bahram Khalili, Associate Professor of Instruction and Graduate Advisor

Admission Requirements

CSE certificate students are required to have an undergraduate preparation equivalent to a baccalaureate degree in Computer Science or Computer Engineering or in a technical field relevant to the CSE curriculum. Students without a proper academic background, as determined by the graduate advisor at the time of the admission review, will be required to complete the CSE 5300 Foundation of Computing course and earn a passing grade in addition to the four required graduate courses. 

Individuals interested in the certificate program can apply for admission using the UTA application for admission via ApplyTexas. Should a certificate student wish to continue on to an MS or PhD degree program in the CSE department, the certificate courses may be used toward that advanced degree. Note that for admission to the MS degree program, all UTA and CSE graduate degree admission requirements, including GRE and GPA, would need to be met.

Course Requirements

The course requirements for the Deep Learning certificate are:

  • CSE 5300 – Foundation of Computing (**Required only if insufficient CSE background)
  • CSE 5360 – Artificial Intelligence I
  • CSE 5364 – Robotics
  • CSE 6363 – Machine Learning
  • CSE 6367 – Computer Vision 

A grade of C or better and an overall GPA of 3.0 or higher is required in all courses counted towards the completion of the certificate. The certificate program consists of 4-5 existing courses. Students enrolled in the certificate program will take courses with students studying for master’s and/or PhD programs in the CSE Department. 

 
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