Overview
The Minor in Artificial Intelligence (AI), offered by the Department of Computer and Information Sciences, gives students in computing and other STEM disciplines a structured pathway into the theory and practice of AI. The minor covers mathematical and computational foundations through machine learning and core AI methods, while allowing students to pursue upper-level work in areas such as deep learning, intelligent agents, or data mining.
For students majoring in Computer Science, Data Science, or Information Science and Technology, the minor provides a skillset in an area of growing importance. For students in other STEM fields, it adds technical skills that can support research, technical work, and domain-specific applications. Students complete the minor with a stronger understanding of modern AI systems and practical programming experience implementing AI methods.
Campus Locations: Main, Japan
Undergraduate Contact Information
Main Campus
Yu Wang, Chair
Science Education and Research Center, Room 304
215-204-8450
John Fiore, Vice Chair
Science Education and Research Center, Room 304
215-204-8450
Andrew Rosen, Faculty Advisor
Science Education and Research Center, Room 349
215-204-3193
andrew.rosen@temple.edu
Temple Japan Campus
Students interested in more information or declaring this minor should contact the TUJ Academic Advising Center (AAC), aac@tuj.temple.edu, Room 102, TUJ Building.
Minor Requirements
Prerequisites
Students desiring a Minor in Artificial Intelligence must have already completed the following or have equivalent industry experience:
| Code | Title | Credit Hours |
|---|---|---|
| MATH 1041 | Calculus I | 4 |
| or MATH 1941 | Honors Calculus I | |
| MATH 1042 | Calculus II | 4 |
| or MATH 1942 | Honors Calculus II | |
| CIS 1068 | Program Design and Abstraction | 4 |
| Total Credit Hours | 12 | |
Required Courses
Students desiring a Minor in Artificial Intelligence must complete the following courses:
| Code | Title | Credit Hours |
|---|---|---|
| CIS 2033 | Computational Probability and Statistics 1 | 3 |
| or MATH 3031 | Probability Theory | |
| or BIOL 3312 | Biostatistics | |
| CIS 2166 | Mathematical Concepts in Computing II 2 | 3-4 |
| or MATH 2101 | Linear Algebra | |
| or MATH 2045 | Differential Equations with Linear Algebra | |
| CIS 2168 | Data Structures | 4 |
| CIS 3203 | Introduction to Artificial Intelligence | 4 |
| CIS 4526 | Foundations of Machine Learning | 3 |
| Select one of the following: | 3 | |
| Human and Artificial Intelligence Interaction | ||
| Artificial General Intelligence | ||
| Knowledge Discovery and Data Mining 3 | ||
| Analysis and Modeling of Social and Information Networks 3 | ||
| Introduction to Deep Learning and Large Language Models | ||
| Intelligent Agent Systems Development | ||
| Total Credit Hours | 20-21 | |
- 1
The CIS 2033 / MATH 3031 / BIOL 3312 requirement can be substituted with ECE 3522 Stochastic Processes in Signals and Systems or STAT 2103 Statistical Business Analytics for students not from the College of Science & Technology.
- 2
This course has a prerequisite of CIS 1166 Mathematical Concepts in Computing I.
- 3
This course has a prerequisite of MATH 2043 Calculus III, which is not part of the minor.
Residency Requirements: At least 3 courses required for the minor must be completed at Temple. At least 3 CIS courses must be completed at Temple.