Applied Artificial Intelligence Minor

A minor in Applied Artificial Intelligence provides students with a focused and practical introduction to the rapidly evolving field of artificial intelligence (AI). This minor is designed to complement a variety of major programs by equipping students with the foundational knowledge and skills needed to apply AI techniques in real-world contexts. The minor covers key areas such as machine learning, deep learning, data analysis, and ethical considerations in AI development.

Campus: Knoxville, Distance Education

For additional information regarding distance education programs, including Admissions Requirements, visit https://volsonline.utk.edu/

Not every course is offered each term or available in all modalities. Students should review their degree audit regularly and work closely with their academic advisor to plan their courses and ensure timely progress toward degree completion based on course availability in their declared modality.

Credit Hours Required

The Applied Artificial Intelligence Minor consists of 18 credit hours of coursework.

Required Courses (6 credit hours)

Complete both courses:

AI 101* - Introduction to the World of AI 3 Credit Hours
AI 102* - Natural Language-based Programming Techniques 3 Credit Hours

Elective Courses (9 credit hours)

Complete three courses from the following list:

AI 201 - AI, Ethics, and Legal Frameworks 3 Credit Hours
AI 202 - Human-AI Interaction and Experience Design 3 Credit Hours
AI 301 - Natural Language Processing and Conversational AI 3 Credit Hours
AI 302 - AI-based Data Handling and Visualization 3 Credit Hours
AI 311 - AI for Cybersecurity 3 Credit Hours
AI 401 - Applied AI for Research and Applications 3 Credit Hours
CYBR 201 - Introduction to Cryptography and Data Protection 3 Credit Hours
CYBR 202 - Introduction to Cybersecurity Tools 3 Credit Hours
CYBR 302 - Cybersecurity Risk Management 3 Credit Hours
CYBR 460 - Cybersecurity Policy Frameworks 3 Credit Hours
CYBR 465 - Cybersecurity for Network-Controlled Systems 3 Credit Hours
CYBR 470 - Cybercrime and Digital Law Enforcement 3 Credit Hours
¹ DATA 202* - Data Management and Visualization 3 Credit Hours
DATA 203* - Analytical Methods of Data Science 3 Credit Hours
¹ DATA 303 - Advanced Data Analysis 3 Credit Hours
¹ DATA 304 - Data Wrangling 3 Credit Hours
¹ DATA 401 - Visual Analytics 3 Credit Hours

Capstone Course (3 credit hours)

Complete:

CECS 399 - CECS Transdisciplinary Capstone 3 Credit Hours

Footnotes

¹Course has its own set of prerequisites. Please consult the catalog for more information.

* Satisfies Volunteer Core requirement.

Undergraduates

Graduate Students