Admission Standards and Procedures

1. A bachelor’s degree in electrical engineering (EE) or computer engineering (CE) or a closely related program;
2. An undergraduate GPA of at least 3.00 from an accredited college or university;
3. Applicants whose native language is other than English must meet one of the following minimum requirements:
   1. TOEFL = 85,
   2. IELTS = 6.5
   3. Duolingo = 110,
   4. PTE = 59.
      

The certificate can be pursued concurrently with other graduate programs at the University.

Non-degree seeking applicants must submit a brief (1-2 pages) statement that describes educational and work experience in engineering, including their background in Artificial Intelligence and related areas. Acceptance into the certificate program is not an implied acceptance into any master’s degree program.

Program Requirements

Completion of 12 semester hours chosen from four of the following courses of which at least 6 semester hours should be at the 7000-level:

• EECE 6720 - Intro Artificial Intelg Credit Hours: (3)
• EECE 6731 - Data Analytics and Visualization Credit Hours: (3)
• EECE 6741 - Introduction to Neural Networks and Deep Learning Credit Hours: (3)
• EECE 6745 - Introduction to Machine Learning Credit Hours: (3)
• EECE 7216 - Computer Vision Credit Hours: (3)
• EECE 7219 - Pattern Recognition Credit Hours: 3
• EECE 7220 - Scientific Computing Credit Hours: (3)
• EECE 7269 - Machine Learning & Applicatns Credit Hours: (3)
• EECE 7720 - Artificial Intelligence Credit Hours: (3)
• EECE 7740 - Neural Networks Credit Hours: (3)

Graduation Requirements

The student must complete required courses with an average grade of B (3.0) or higher, for a total of 12 credit hours

In the semester of graduation, the student must submit an “Apply to Graduate” form to the Graduate School and a Graduate Certificate Candidacy form to the College Director of Graduate Studies by the deadline specified by the Graduate School.