Artificial Intelligence and Machine Learning, Graduate Certificate

This is the first version of the 2026–27 General Catalog. Please check back regularly for changes. The final edition and the historical PDF will be published during the fall semester.

The graduate Certificate in Artificial Intelligence and Machine Learning is designed to equip students with cutting-edge knowledge and skills in one of the most dynamic and rapidly evolving fields today.

This program is tailored for professionals seeking to deepen their expertise in artificial intelligence (AI) and machine learning (ML), enabling them to apply advanced techniques and methodologies to solve real-world problems. The curriculum covers a broad spectrum of topics, including machine learning algorithms, neural networks, natural language processing, and data analytics, ensuring that graduates are well-prepared to lead and innovate in their respective industries.

The certificate is an ideal complement to the Master of Science in business analytics.

Learning Outcomes

Students who earn the Certificate in Artificial Intelligence and Machine Learning will be able to:

understand the foundations of modern AI and machine learning algorithms;
design and implement AI and machine learning solutions to real-world problems; and
assess the effectiveness of different AI and machine learning approaches for analyzing unstructured data.

The graduate Certificate in Artificial Intelligence and Machine Learning requires 12 s.h. of credit. Students must earn a Graduate College major program grade-point average (GPA) of at least 2.75 to complete the certificate.

Applicants must meet the admission requirements of the Graduate College and the Certificate in Artificial Intelligence and Machine Learning. For additional information, see the Manual of Rules and Regulations on the Graduate College website and Certificate-Only Admissions on the Tippie College of Business website.

With program approval, students may count up to 3 s.h. of previous graduate or professional coursework toward the certificate.

Certificate courses are offered online. Not all courses listed are regularly offered. Students should consult MyUI for course availability and/or discuss course offerings with their advisor.

The Certificate in Artificial Intelligence and Machine Learning requires the following coursework.

Course List
Course #	Title	Hours
This course:
BAIS:6250	Applied Deep Learning	3
Three of these (9 s.h.):
BAIS:6100	Text Analytics	3
BAIS:6105	Social Analytics	3
BAIS:6130	Applied Optimization	3
BAIS:6260	Generative Artificial Intelligence	3
FIN:9160	Quantitative Finance and Machine Learning	3

Graduate education prepares students with advanced knowledge and skills in specialized fields. At the University of Iowa, the Graduate College advocates for student-centered graduate education and supports equitable application of rules and policies across graduate programs.

Academics

University of Iowa graduate credentials are regulated by policies and requirements found in the Graduate College Manual of Rules and Regulations. This includes minimum grade-point average (GPA) requirements for academic standing and degree conferral. The Graduate College sets the minimum requirement. Individual graduate programs may establish higher GPA requirements.

Admissions

Graduate student applicants must meet admission requirements for both the Graduate College and the program to which they have applied. University of Iowa graduate admission requirements are published by the Graduate College and on the Graduate Admissions website.

Financial Support

Graduate students might be eligible for financial support. Several contingencies apply, including degree program and award type, satisfactory progress toward degree, satisfactory completion of all duties related to an appointment, and availability of funding. Graduate students should inquire directly with their program for more information about funding availability. The Graduate Student Employment Standards govern the employment relationship between the University of Iowa and all graduate teaching and research assistants in all matters except wages, which are covered by an existing collective bargaining agreement or the conditions of an applicable federal grant.