Curriculum

Fall Semester - 13 credits
BUDT 722Managing Digital Business Markets2 credits
BUDT 731Data, Models and Decisions using R2 credits
BUDT 702Database Management Systems
2 credits
BUDT 724Project Management2 credits
BUDT 704Data Processing in Python
3 credits
BUDT 721
Digital Transformation in Business2 credits
BUDT 738Industry Seminar 0 credits
Spring Semester - 10 credits
BUDT 733Data Science and Predictive Analytics2 credits
BUDT 723Business Process Analysis for Information Systems2 credits
BUDT 751Harnessing AI for Business2 credits
BUDT 737Big Data and Cloud Computing2 credits
BUDT 738Industry Seminar0 credits

Emerging Technologies (Choose One)

Examples of possible course choices:

BUDT 753

Blockchain and Smart Contracts

2 credits

BUDT 754

IoT Applications for Business

2 credits

Fall Semester - 7 credits

BUDT 748

Industry Practicum3 credits

Advanced Topics in Data Science (Choose One)

Examples of possible course choices:

BUDT 705

Data Visualization for Business

2 credits

BUDT 706

Social Media and Unstructured Data Analytics

2 credits

BUDT 756

Causal Inference and A/B Testing

2 credits

Topics in Technology Management (Choose One)

Examples of possible course choices:

BUDT 741

Digital Health2 credits

BUDT 742

Maching Learning & Blockchain for FinTech2 credits

BUDT 757

Cybersecurity2 credits

The MS in Information Systems curriculum is 30 credits. Courses are subject to change.

The MS in Information Systems curriculum is set up to be completed in 16 months (3 semesters). Students interested in an accelerated program (2 semesters) should contact their academic advisor prior to the start of the first semester.