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: 2020-21

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 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

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 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-