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.
General Certificate Requirements
Additional requirements for graduation can be found on the Degree/Certificate Requirements for Graduation page.
Unless otherwise noted in individual program requirements, a minimum grade point average of 2.00 in all work attempted at the University of Montana-Missoula is required for graduation. Please see the Academic Policies and Procedures page for information on how your GPA is calculated.
Courses taken to satisfy the requirements of a major, minor, or certificate program must be completed with a grade of C- or better unless a higher grade is noted in the program requirements.
POST-SECONDARY CERTIFICATE - BIG DATA ANALYTICS
- All students pursuing a Big Data Analytics Certificate must also complete the degree requirements for a UM major.
- This program requires a 3.0 GPA in the listed course requirements.
Course Requirements
| Code | Title | Hours |
|---|---|---|
| Foundational Course | ||
| Complete the following course: | ||
| BMIS 326 | Introduction to Data Analytics | 3 |
| Electives | ||
| Complete nine credits from the following courses: | 9 | |
| Business App Development | ||
| Introduction to Real-time Data Analytics | ||
| Marketing Analytics | ||
| Telling Stories with Data | ||
| Database Design | ||
| Sports Analytics | ||
| Data Visualization | ||
| Machine Learning | ||
| 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 | ||
| Statistical Methods I | ||
| Capstone Project | ||
| Complete one of the following courses: | ||
| BMIS 482 | Big Data Project | 3 |
| or M 467 | Data Science Projects | |
| Total Hours | 15 | |