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: 2019-2020

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 a 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

Big Data Analytics Certificate Foundational Course 3
Big Data Analytics Certificate Elective Courses6
Big Data Analytics Certificate Capstone Course3
Total Hours12

Big Data Analytics Certificate Foundational Course

Note: See individual course descriptions in the catalog for additional grade and prerequisite requirements.

Complete the following course:
BMIS 326Introduction to Data Analytics3
Total Hours3
Minimum Required Grade: C-

Big Data Analytics Certificate Elective Courses

Complete six credits from the following courses: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
Data Science Analytics
M 462
Theoretical Basics of Big Data Analytics and Real Time Computation Algorithms
Total Hours6

Minimum Required Grade: C-


Big Data Analytics Certificate Capstone Course

Complete one of the following courses:
BMIS 482Big Data Project3
or M 467 Data Science Projects
Total Hours3

Minimum Required Grade: C-