Certificate in Big Data Analytics
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.
Certificate - Big Data Analytics
School of Business Admin
Degree Specific Credits: 12
Required Cumulative GPA: 3.0
Catalog Year: 2017-2018
Note: All students pursuing a BDA 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 BDA Certificate Advisor for assistance (Computer Science and Mathematics majors contact their department; all others contact SOBA Advising).
Complete the BDA certificate application (available from the SOBA 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
Rule: Take the following course.
Note: See individual course descriptions in the catalog for additional grade and prerequisite requirements.
| Code | Title | Hours |
|---|---|---|
| BMIS 326 | Introduction to Data Analytics | 3 |
| Total Hours | 3 | |
Big Data Analytics Certificate – Elective Courses
Rule: Take 6 credits from the list below.
| Code | Title | Hours |
|---|---|---|
| Select two from the following: | 6 | |
BMIS 465 | Introduction to Real-time Data Analytics | |
BMKT 440 | Marketing Analytics | |
CSCI 444 | Data Visualization | |
CSCI 447 | Machine Learning | |
CSCI 448 | Pattern Recognition | |
CSCI 464 | Applications of Mining Big Data | |
CSCI 480 | Applied Parallel Computing Techniques | |
CSCI 564 | Applications of Mining Big Data | |
CSCI 580 | Applied Parallel Computing Techniques | |
M 461 | Practical Big Data Analytics | |
M 462 | Theoretical Basics of Big Data Analytics and Real Time Computation Algorithms | |
| Total Hours | 6 | |
Minimum Required Grade: C-
Big Data Analytics Certificate – Capstone Course
Rule: Take one of the following two courses.
| Code | Title | Hours |
|---|---|---|
| BMIS 482 | Big Data Project | 3 |
| or M 467 | Big Data Analytic Projects | |
| Total Hours | 3 | |
Minimum Required Grade: C-