Artificial Intelligence Classes
Courses for the Master of AI are linked below to the University Bulletin. Please refer to the prerequisites mentioned on this page as those listed on the University Bulletin may differ from Penn State Great Valley. All courses offered are three credits unless otherwise indicated.
Required Artificial Intelligence Courses
A-I 500 - Quantitative Methods
(Recommended for first semester)
A-I 801 - Foundations of Artificial Intelligence
(Recommended for first semester)
A-I 570 - Deep Learning (formerly DAAN 570)
Prerequisite: A-I 500
A-I 574 - Natural Language Processing
Prerequisite: A-I 570
A-I 804 - Ethics of Artificial Intelligence
IE 575 - Foundations of Predictive Analytics
Prerequisite: A-I 500
Students must successfully complete the SARI (Scholarship and Research Integrity) requirement of the Penn State degree in order to graduate.
Artificial Intelligence Electives (select 9 credits)
A-I 572 - Reinforcement Learning
DAAN 822 - Data Collection and Cleaning
Prerequisite: A-I 500
DAAN 862 - Analytics Programming in Python
DAAN 881- Data-Driven Decision Making
Prerequisite: A-I 500
INSC 521 - Database Design Concepts
Required AI Capstone Course (3 credits)
A-I 894 - Research Topic
Prerequisites: A-I 500, A-I 801, A-I 804, A-I 570, A-I 574, and IE 575. Available in fall semester only.
Course Schedules
Contact [email protected] with general questions. Contact your assigned faculty advisor for advice on course selection.
GPA Requirements
Students must maintain a minimum grade point average of 3.0 (B) throughout the program. A 3.0 cumulative GPA is required to graduate.
