CORE COURSES

Take the following courses: 

DS-500  Data Science Fundamentals

4 Credits

DS-510  Computer Science Fundamentals

4 Credits

DS-516  Mathematics Fundamentals

3 Credits

DS-520  Statistics Fundamentals

3 Credits

DS-525  Data Acquisition & Visualization

3 Credits

DS-570   Database Systems

3 Credits Pre-Req: DS-510

DS-580 Data Science Capstone

3 CreditsPrerequisites: DS-500, DS-510, DS-516, and DS-520, or instructor permission.

ELECTIVE COURSES

Complete 9 elective credits from the following courses:

DS-530 Multivariate Techniques

3.00 CreditsPrereqs: DS-516 and DS-520.

DS-552 Data Mining

3.00 CreditsPrerequisite: DS-500, DS-510, or by permission

DS-575  Big Data Techniques

3 Credits Prerequisite: DS-500 or DS-510 

MBA-511 Quantitative Analysis & Research Methods

3 Credits

MBA-531 Professional Ethics & Social Responsibility

3 Credits

BIN-500  Bioinformatics Fundamentals

4 CreditsN 

BIN-580  Advanced Research Methods

4 Credits  

BIN-600  Environmental Genomics

4 CreditsN 

Program Credit Total = 30-32

Any course exception must be approved by Dr. Kim Roth.

Kimberly Roth

Kimberly Roth  Biography →

  • Professor of Mathematics

Kimberly Roth  Biography →

  • Professor of Mathematics