The Master of Science in Information Science degree requires 33 credits—18 core credits, 12 elective credits, and 3 capstone credits. You must maintain a minimum grade point average of 3.0 (B) throughout the program. A 3.0 cumulative GPA is required to graduate.
Courses are listed below, with course descriptions provided via links 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.
Penn State’s Schedule of Courses lists course availability. General questions should be sent to [email protected]. Contact your assigned faculty advisor for advice on course selection.
Required Information Science Courses and Capstone
INSC 526 - Business Process Management and Integration
INSC 539 - Information Science Emerging Topics
INSC 561 - Web Security and Privacy
INSC 831 - Contemporary Information Systems Architecture
INSC/SWENG 568 - Enterprise Integration
INSC 594 - Research Topics (Capstone Course)
Only available in fall semesters. You must have completed at least seven courses to be eligible to enroll in the capstone course. Contact [email protected] to request approval and enrollment.
SARI (Scholarship and Research Integrity) Required Online Activity
You must successfully complete the SARI requirement of the Penn State degree in order to graduate. The SARI Module is offered only in spring and fall semesters.
Information Science Elective Courses
Choose four of the following courses to fulfill your 12 credits of electives.
A-I/DAAN 500 – Quantitative Methods
A-I 570 – Deep Learning
Prerequisite: A-I/DAAN 500 or STAT 500 (Division approval needed – contact [email protected] to request approval and enrollment.)
A-I 572 – Reinforcement Learning
Division approval needed – contact [email protected] to request approval and enrollment.
A-I 801 - Foundations of Artificial Intelligence
Prerequisite: A-I/DAAN 500 or STAT 500 (Division approval needed – contact [email protected] to request approval and enrollment.)
DAAN 825 - Large Scale Database and Warehouse
DAAN/INSC 846 – Network and Predictive Analytics for Socio-Technical Systems
DAAN 862 – Analytics Programming in Python
Prerequisite: A-I/DAAN 500 or STAT 500
DAAN 871 - Data Visualization for Analytics
DAAN 881 - Data-Driven Decision Making
Prerequisite: STAT 500 or A-I/DAAN 500
DAAN 897 - Enterprise Analytics Strategies
ENGMT 520 – Systems Optimization
IE 575 - Foundations of Predictive Analytics
Prerequisite: STAT 500 or A-I/DAAN 500
INSC 521 - Database Design Concepts
STS 589 - Ethics and Values in Science and Technology
SWENG 826 - Applied Human-Computer Interaction
Previously offered as SWENG 497 Special Topics: Human Computer Interface
SYSEN 532 - Simulation in Systems Engineering – Discrete-time Systems
SYSEN 536 - Decision and Risk Analysis in Engineering
SYSEN 555 - Invention and Creative Design
SYSEN 805 - Technical Project Management
NOTE: You may take either SWENG 805 Software Project Management or SYSEN 805 Technical Project Management.
