Students in the minor must choose one of two tracks to determine their course requirements. Note that students can choose either track, regardless of their major, but students are strongly advised to contact their academic advisor in the major to decide which track aligns best with their interests, career goals, and major degree requirements. The minor requirements are outlined below for both tracks.
Ivan Allen College Track
Students in the IAC Track must complete the following requirements;
Core 1: Statistics (3 CH)
ECON 2250 – Statistics for Economists
PUBP 3120 – Statistical Analysis for Public Policy
Core 2: Fundamentals of AI/ML (3 CH)
ECON 4803 – Introduction to Data Science for Economics
PUBL 3042 – Data Science for Public Policy
Core 3: Policy and Ethics (3 CH)
PHIL 3101 – AI Ethics and Policy
(offered as PHIL 4803 in Fall 2024)
Electives (6 CH)**
ECON 4161 – Machine Learning for Economics
PHIL 4752 – Philosophical Issues in Computation
LING 3100 – Applications of Linguistics
LING 4100 – Language & Computers
INTA 2040 – Science, Technology, and International Affairs
LMC 3451 – Race Gender and Digital Media
XXXX 4699 – Undergrad Research*
* Research credits must be related to AI/ML in order to count towards the minor. Each School will designate a specific person to review and approve applicability of research credits towards the minor; reach out to the advising contact for your major for details. Only 3 credit hours of research may be counted as an elective for this minor.
** If a Core 1 or Core 2 course is required for a student’s major degree, then it can be replaced with an additional Elective to reach the 15 credit hours needed for the minor.
Engineering Track
Students in the Engineering Track must complete the following requirements;
Core 1: Statistics (3 CH)
BMED 2400 – Introduction to Bioengineering Statistics
ISYE 3770 – Statistics and Applications
ECE 3077 – Introduction to Probability and Statistics for ECE
MATH 3670 – Probability and Statistics with Applications
Core 2: Fundamentals of AI/ML (3 CH)
BMED 3201 – Introduction to Machine Learning for Biomedical Engineers
CHBE 4745 – Data Analytics for Chemical Engineers
ECE 4252 – Fundamentals of Machine Learning (FunML)
ME/MSE 4803 – Data Foundations for Engineering Applications of Machine Learning
Core 3: Policy and Ethics (3 CH)
PHIL 3101 – AI Ethics and Policy
(offered as PHIL 4803 in Fall 2024)
Electives (6 CH)**
BMED 3211 – Introduction to Bioinformatics
BMED 4478 – Biomed-AI and Health Informatics
BMED/ECE 4783 – Introduction to Medical Image Processing
CHBE 4746 – Data-Driven Process Engineering
ECE 2026 – Intro to Signal Processing
ECE 3251 – Optimization for Information Systems
ECE 4258 – Digital Image Processing
ECE 4270 – Fundamentals of Digital Signal Processing
ECE 4271 – Applications of Digital Signal Processing and Machine Learning
ECON 4161 – Machine Learning for Economics
PHIL 4752 – Philosophical Issues in Computation
LING 3100 – Applications of Linguistics
LING 4100 – Language & Computers
INTA 2040 – Science, Technology, and International Affairs
LMC 3451 – Race Gender and Digital Media
ME 4012 – Modeling and Control of Motion Systems
ME 4451 – Robotics
XXXX 4699 – Undergrad Research*
* Research credits must be related to AI/ML in order to count towards the minor. Each School will designate a specific person to review and approve applicability of research credits towards the minor; reach out to the advising contact for your major for details. Only 3 credit hours of research may be counted as an elective for this minor.
** If a Core 1 or Core 2 course is required for a student’s major degree, then it can be replaced with an additional Elective to reach the 15 credit hours needed for the minor.