Big Data Analytics Certificate
The Big Data Analytics (BDA) certificate is designed to provide students with the tools necessary to compete in the Big Data space. Students will use big data tools that are currently available to capture, analyze, and present big data. They will explore a variety of applications with which Big Data tools can be applied, and they will complete a Big Data project. This certificate is currently aimed at students majoring in business, computer science, or mathematics.
Post-secondary Certificate - Big Data Analytics
College of Business
Degree Specific Credits: 12
Required Cumulative GPA: 3.0
Catalog Year: 2018-2019
Notes:
- All students pursuing a Big Data Analytics Certificate must also complete the degree requirements for a UM major.
- The 3.0 GPA requirement pertains specifically to the 12 credits required for this certificate, not a student's cumulative GPA.
- Please meet with an Big Data Analytics Certificate Advisor for assistance (Computer Science and Mathematics majors contact their department; all others contact COB Advising).
- Complete the Big Data Analytics certificate application (available from the COB advising office).
Summary
| Code | Title | Hours |
|---|---|---|
| Big Data Analytics Certificate Foundational Course | 3 | |
| Big Data Analytics Certificate Elective Courses | 6 | |
| Big Data Analytics Certificate Capstone Course | 3 | |
| Total Hours | 12 | |
Big Data Analytics Certificate Foundational Course
Note: See individual course descriptions in the catalog for additional grade and prerequisite requirements.
| Code | Title | Hours |
|---|---|---|
| Complete the following course: | ||
| BMIS 326 | Introduction to Data Analytics | 3 |
| Total Hours | 3 | |
Minimum Required Grade: C-
Big Data Analytics Certificate Elective Courses
| Code | Title | Hours |
|---|---|---|
| Complete six credits from the following courses: | 6 | |
| Introduction to Real-time Data Analytics | ||
| Marketing Analytics | ||
| Data Visualization | ||
| Machine Learning | ||
| Pattern Recognition | ||
| Applications of Mining Big Data | ||
| Applied Parallel Computing Techniques | ||
| Applications of Mining Big Data | ||
| Applied Parallel Computing Techniques | ||
| Data Science Analytics | ||
| Theoretical Basics of Big Data Analytics and Real Time Computation Algorithms | ||
| Total Hours | 6 | |
Minimum Required Grade: C-
Big Data Analytics Certificate Capstone Course
| Code | Title | Hours |
|---|---|---|
| Complete one of the following courses: | ||
| BMIS 482 | Big Data Project | 3 |
| or M 467 | Data Science Projects | |
| Total Hours | 3 | |
Minimum Required Grade: C-