Business Analytics and Data Science: Cybersecurity Analytics, MS
Requirements for Students Matriculating in or before Academic Year 2022-2023. Learn more about Graduate College Academic Regulation 7.0.
Total Hours: 37
Code | Title | Hours |
---|---|---|
Required Core Courses | ||
BAN 5400 | Practicum in Business Analytics | 2 |
BAN 5560 | Business Analytics Research and Communications (Research and Communications I) | 1 |
BAN 5560 | Business Analytics Research and Communications (Research and Communications II) | 1 |
BAN 5733 | Descriptive Business Analytics | 3 |
BAN 5743 | Predictive Business Analytics | 3 |
BAN 5753 | Advanced Business Analytics | 3 |
MSIS 5503 | Statistics for Data Science | 3 |
MSIS 5193 | Programming for Data Science and Analytics I | 3 |
MSIS 5633 | Predictive Analytics Technologies | 3 |
Hours Subtotal | 22 | |
Required Option Courses | ||
MSIS 5213 | Information Assurance Management | 3 |
MSIS 5203 | Advanced Infrastructure Development | 3 |
Hours Subtotal | 6 | |
Electives | ||
Required Option Electives | ||
Select 6 hours from the following or other courses as approved by the program director: | 6 | |
Scripting Essentials | ||
Legal and Ethical Issues in Information Technology | ||
Advanced System Certification and Accreditation | ||
Select 3 hours from the following or other courses as approved by program director. | 3 | |
MBA Financial Reporting | ||
Web Analytics and Digital Marketing | ||
GIS Applications in Marketing Analytics | ||
Consulting in Marketing Analytics | ||
Using R in Marketing Analytics | ||
Optimization Applications in Marketing Analytics | ||
Customer Lifetime Value Models in Marketing | ||
Strategic Marketing and Business Analytics | ||
Advanced Marketing Research Analytics | ||
Advanced Practicum in Business Analytics | ||
Managerial Economics | ||
CIE Scholar Practicum | ||
Business Finance | ||
Survey of Health Care Administration | ||
Marketing Management | ||
Base SAS Programming for Database Marketing | ||
Advanced SAS Programming for Marketing Analytics | ||
Programming for Data Science and Analytics II | ||
Information Technology Forensics | ||
Prescriptive Analytics | ||
Data Warehousing | ||
Descriptive Analytics and Visualization | ||
Big Data Advanced Analytics Technologies | ||
Statistics for Experimenters I | ||
Time Series Analysis | ||
Bayesian Analysis | ||
Other courses as approved by program director. | ||
Hours Subtotal | 9 | |
Total Hours | 37 |
Graduate College Master's Program Requirements
Learn more about Graduate College 2022-2023 Master’s Degree Program Requirements. Check the General Graduate College academic regulations for minimal GPA, language proficiency and other general requirements.