Artificial Intelligence (AI) and Business Minor

The AI and Business minor is open to all undergraduate students at Texas A&M University students interested in utilizing AI or machine learning (ML) in a business setting. You can combine your expertise from your major to efficiently and effectively utilize AI/ML to advance your career and company. Gain cutting edge tools to transform business by gaining hands-on experience and practical skills in courses taught by faculty leading the country in the AI revolution.

Courses launch Fall 2025 through a pilot program with limited enrollment. There will only be 200 seats per section in Fall 2025. More seats will be available in Spring 2026.   

Flex online student working on computer.
Flex online student working on computer.

Artificial Intelligence (AI) and Business Minor

The AI and Business minor s open to all undergraduate students at Texas A&M University. Students interested in utilizing AI or machine learning (ML) in a business setting. You can combine your expertise from your major to efficiently and effectively utilize AI/ML to advance your career and company. Gain cutting edge tools to transform business by gaining hands-on experience and practical skills in courses taught by faculty leading the country in the AI revolution.

Courses launch Fall 2025 through a pilot program with limited enrollment. There will only be 200 seats per section in Fall 2025. More seats will be available in Spring 2026.   

How to Apply

To apply to the AI and Business minor, students can speak to their academic advisor in their home college or major department.

To be eligible for the AI and Business minor, students must have:

  • A 3.0 or better overall GPA
  • Junior or senior classification to enroll in the courses
  • Completed at least 12 credit hours at Texas A&M University

There is no 90-hour cap for students pursuing the minor. Students are encouraged to start taking AI and Business minor courses as soon as the minor is declared.

AI and Business Minor Courses

To complete the AI and Business minor, students must take 15 credit hours including the following required courses and obtain a 2.0 or better GPA overall in the courses:

Course Number Course Content Description Faculty
BUSN 450 Business Transformation with Generative AI Dr. Hagen Kim
BUSN 455 Business Storytelling with AI Dr. Rajiv Mukherjee
BUSN 460 Introduction to Machine Learning and Business Applications Dr. Betty Zhou
BUSN 465 Building Multimodal Gen AI Agents Dr. Hari Sridhar
BUSN 470 Business Cases for Textual Generative and Agentic AI Dr. Jeremiah Green

AI and Business Minor Courses

To complete the AI and Business minor, students must take 15 credit hours including the following required courses and obtain a 2.0 or better GPA overall in the courses:

Course Number Course Content Description Faculty
BUSN 450 Business Transformation with Generative AI Dr. Hagen Kim
BUSN 455 Business Storytelling with AI Dr. Rajiv Mukherjee
BUSN 460 Introduction to Machine Learning and Business Applications Dr. Betty Zhou
BUSN 465 Building Multimodal Gen AI Agents Dr. Hari Sridhar
BUSN 470 Business Cases for Textual Generative and Agentic AI Dr. Jeremiah Green

Course Descriptions and Details

Business Transformation with Generative AI is a practical course that equips students with the skills to leverage cutting-edge AI tools to address real-world business challenges. Taught by Dr. Hagen Kim, associate professor of finance at Mays Business School, the course focuses on asking right questions and effectively integrating AI solutions into realistic business cases. Through prompt engineering, students will learn how to incorporate key business and economic models to extract market insights, generate innovative ideas, and develop robust marketing and financial strategies. 

Business Storytelling with AI gives students the tools to unlock the future of business communication in this cutting-edge course where AI meets storytelling! Taught by Dr. Rajiv Mukherjee from Mays Business School, dive into a hands-on journey exploring how AI can turn complex data into powerful narratives. Master Python programming with AI co-pilot assistance while analyzing real-world clickstream, text, spatial, and social network data. Whether you’re analyzing customer behavior patterns or uncovering market trends, you’ll learn to craft data-driven stories that captivate stakeholders and drive decisive action. Don’t just analyze data – transform it into compelling narratives that influence decisions and shape business strategies.

Introduction to Machine Learning and Business Applications bridges machine learning concepts with real-world business applications. Taught by Dr. Betty Zhou, associate professor of management at Mays Business School, you’ll learn fundamental machine learning concepts to become both an informed user of machine learning/AI products and an effective business project leader. The course develops essential skills for managing machine learning/AI initiatives – no advanced technical expertise required. 

Building Multimodal Gen AI Agents is a hands-on, no-code course where students design AI agents that integrate text, images, audio, and video to automate real-world business tasks. Taught by Dr. Hari Sridhar, Senior Associate Dean at Mays Business School, this course goes beyond theory—students will build AI-powered content creators, social media bots, and automation tools that mirror industry applications. As AI reshapes business, mastering multimodal AI gives you a strategic advantage in any career.

Business Cases for Textual Generative and Agentic AI is an application based, low-code course where students learn to design and manage AI tools for business applications. Led by Dr. Jeremiah Green from the James Benjamin Department of Accounting at Mays Business School, this course emphasizes practical experience—students will create and monitor chatbots, semantic search tools, document extraction systems, and agent models that address real-world challenges dealing with business text. As businesses increasingly rely on AI to handle complex textual data, this course equips you with the skills to stay ahead in a rapidly evolving field. 

Course Registration Information

Course Number CRN Course Name in Howdy
BUSN 450  62390  BUSN TRANSFORMATION GEN AI 
BUSN 455  62391  AUTO BUSN STORY TELLING AI 
BUSN 460  62392  ML PRED MOD & BUSN APPS 
BUSN 465  62457  BSN APP DEEP LRNG: IMG AUD VID 
BUSN 470  62393  APPLD NAT LANG PROCESS BUSN 

Course Descriptions and Details

Business Transformation with Generative AI is a practical course that equips students with the skills to leverage cutting-edge AI tools to address real-world business challenges. Taught by Dr. Hagen Kim, associate professor of finance at Mays Business School, the course focuses on asking right questions and effectively integrating AI solutions into realistic business cases. Through prompt engineering, students will learn how to incorporate key business and economic models to extract market insights, generate innovative ideas, and develop robust marketing and financial strategies. 

Business Storytelling with AI gives students the tools to unlock the future of business communication in this cutting-edge course where AI meets storytelling! Taught by Dr. Rajiv Mukherjee from Mays Business School, dive into a hands-on journey exploring how AI can turn complex data into powerful narratives. Master Python programming with AI co-pilot assistance while analyzing real-world clickstream, text, spatial, and social network data. Whether you’re analyzing customer behavior patterns or uncovering market trends, you’ll learn to craft data-driven stories that captivate stakeholders and drive decisive action. Don’t just analyze data – transform it into compelling narratives that influence decisions and shape business strategies.

Introduction to Machine Learning and Business Applications bridges machine learning concepts with real-world business applications. Taught by Dr. Betty Zhou, associate professor of management at Mays Business School, you’ll learn fundamental machine learning concepts to become both an informed user of machine learning/AI products and an effective business project leader. The course develops essential skills for managing machine learning/AI initiatives – no advanced technical expertise required. 

Building Multimodal Gen AI Agents is a hands-on, no-code course where students design AI agents that integrate text, images, audio, and video to automate real-world business tasks. Taught by Dr. Hari Sridhar, Senior Associate Dean at Mays Business School, this course goes beyond theory—students will build AI-powered content creators, social media bots, and automation tools that mirror industry applications. As AI reshapes business, mastering multimodal AI gives you a strategic advantage in any career.

Business Cases for Textual Generative and Agentic AI is an application based, low-code course where students learn to design and manage AI tools for business applications. Led by Dr. Jeremiah Green from the James Benjamin Department of Accounting at Mays Business School, this course emphasizes practical experience—students will create and monitor chatbots, semantic search tools, document extraction systems, and agent models that address real-world challenges dealing with business text. As businesses increasingly rely on AI to handle complex textual data, this course equips you with the skills to stay ahead in a rapidly evolving field. 

Course Registration Information

Course Number CRN Course Name in Howdy
BUSN 450  62390  BUSN TRANSFORMATION GEN AI 
BUSN 455  62391  AUTO BUSN STORY TELLING AI 
BUSN 460  62392  ML PRED MOD & BUSN APPS 
BUSN 465  62457  BSN APP DEEP LRNG: IMG AUD VID 
BUSN 470  62393  APPLD NAT LANG PROCESS BUSN 
Flex online student working on computer.

Program Details

Prerequisite: BUSN 450 is a corequisite or prerequisite for all of the other courses. Students must take this course at the same time or before taking the other courses.

Schedule: All courses are currently scheduled to be offered three times a year: fall, spring, and summer. Students should not take more than three AI and Business minor courses at one time.

Class type and length: Courses are fully online and do not have any synchronous meeting times. These classes are eight-week courses. They will typically start around week 6 of a full semester and continue through the remainder of the semester. Courses will run on the following dates for the next academic year:

  • Fall 2025: Oct. 6 – Dec. 7
  • Spring 2026: Feb. 23 – April 19
  • Summer 2026: June 8 – Aug. 2
Flex online student working on computer.

Program Details

Course sequence: BUSN 450 is a corequisite or prerequisite for all of the other courses. Students must take this course at the same time or before taking the other courses.

Course offerings: All courses are currently scheduled to be offered three times a year – fall, spring, and summer. Students should not take more than three AI and Business minor courses at one time.

Course timings: These classes are eight-week courses. They will typically start around week 6 of a full semester and continue through the remainder of the semester. For example, courses will run on the following dates for the next academic year:

  • Fall 2025: Oct 6, 2025, to Dec 7, 2025
  • Spring 2026: Feb 23, 2026, to Apr 19, 2026
  • Summer 2026: Jun 8, 2026, to Aug 2, 2026

Course delivery mode: Courses are fully online and do not have any synchronous meeting times.