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Jun 07, 2025
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2025-2026 Graduate Catalog
Big Data Analytics and Information Technology, MS (53-645) (30 hours)
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Student Learning Outcomes
The graduate with a Master of Science degree in Big Data Analytics and Information Technology will use the knowledge and skills obtained in the program to:
- Apply different forms of analytical models (descriptive, predictive, and prescriptive) to improve business decision making.
- Develop hands on skills with analytical tools and software.
- Implement big data systems and clusters.
- Manage cloud computing environment.
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Required Undergraduate Background Courses: 0-18 Semester Hours
The following undergraduate courses (or equivalents) are required. Some of the requirements may be waived on the basis of the Computer Information systems (CIS) track. Undergraduate work already completed may be used to satisfy these requirements. - CIS 1627 Programming with Python (3)
- CIS 2630 Intermediate Programming (3)
- CIS 2665 Principles of Data Communications and Local Area Networking (3)
- CIS 3650 Database Management Systems (3)
- CIS 3660 Analysis and Design of Computer Information Systems (3)
- FIN 2801 Business Statistics I (3)
Required Graduate Courses: 15 Semester Hours
Choose any 4 from the following: 12 Semester Hours
Graduate Electives: 3 Semester Hours
Due to the applied nature of this program, students are required to take CIS 5670 - Internship in CIS (3) to meet the core requirement. If the student does not receive an internship, any other graduate level CIS course explicitly approved by the advisor, may be substituted. Minimum Graduate Hour Total: 30 Semester Hours
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