The Undergraduate Certificate in Artificial Intelligence for Business is intended to provide a foundation in the principles and techniques of artificial intelligence (AI) for contemporary business problems. It is also intended to provide the skills necessary to apply AI-based technologies to solve problems in a variety of industries, evaluate both the technical performance of AI-based solutions and their potential ethical/societal implications, and communicate AI concepts and findings to business leaders, consumers, and other stakeholders. The certificate is suited for any undergraduate student enrolled in the Terry College with an interest in AI and its applications.

Eligibility

Students are required to be admitted to Terry College with a minimum cumulative 3.0 GPA.

Curriculum

Foundational Courses

Required, 9 credit hours

Students are expected to take three foundational courses in programming, fundamentals of artificial intelligence, and ethics. Courses can be taken entirely from the Terry College’s current offerings or can be taken from other departments on campus to maximize flexibility. Some course options outside of the Terry College may have additional prerequisites. The course options are as follows:

Programming

Fundamentals of AI

(choose one)

Ethics of AI

(choose one)

Business Elective Courses

6 credit hours

Students will take at least two additional elective courses. These courses can come from one of two groups. Students can take either two courses from Group 1 or one course each from Group 1 and Group 2 to complete the Certificate.

Group 1

  • MIST 5635 Machine Learning and Business Analytics
  • MIST 5450 Generative Artificial Intelligence

Group 2

  • BUSN 4400 Business, Systems, and Technology Innovation
  • BUSN 5000 Introduction to Data Science for Business and Economics
  • ENTR 5090 Design Thinking

How to Apply

  1. Be sure you meet the eligibility requirements.
  2. Complete the online application.
  3. Complete the essay question (part of the online application).

Application Periods

  • September 1 – October 1
  • February 1 – March 1

Notification of acceptance will be emailed approximately two weeks after each deadline.

Departments and Program Offices

Department of Management Information Systems

Headshot of Aaron Schecter
  • Associate Professor, Department of Management Information Systems