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

Requirements - 18 credit hours

Required Gateway Course - 3 credit hours

Select one course:
AI 101 - Introduction to the World of AI 3 Credit Hours
AI 102 - Natural Language-based Programming Techniques 3 Credit Hours

Required Courses - 6 credit hours

AI 399 - Interdisciplinary Capstone Course 1 3 Credit Hours
AI 201 - AI, Ethics, and Legal Frameworks 3 Credit Hours

Electives - Select any THREE courses - 9 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 - Exploring the World of AI 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
DATA 202 - Data Management and Visualization 3 Credit Hours
DATA 203 - Analytical Methods of Data Science 3 Credit Hours *
DATA 303 - Advanced Data Analysis 3 Credit Hours
DATA 304 - Data Wrangling 3 Credit Hours
DATA 401 - Visual Analytics 3 Credit Hours
* Meets Volunteer Core Requirements .

Undergraduates