Mathematical Background (3 credits)

• MATH 620 - Convex Optimization for Data Science Credits: 3

Statistics Background (3 credits)

• STAT 705 - Regression and Analysis of Variance Credits: 3

Data Science in Context (3 credits)

Choose one of the following:

• GWSS 435 - Race/Sex/Science Credits: 3
• HIST 320 - History of Technology Credits: 3
• HIST 519 - Science and Technology in the United States Credits: 3
• PHILO 386 - Philosophy of Computer Science and Software Engineering Credits: 3
• CRIM 550 - Cybercrime, Security, and Society Credits: 3

Advanced Techniques for Data Science (6 credits)

• MATH 725 - The Mathematics of Data and Networks I Credits: 3
• MATH 726 - The Mathematics of Data and Networks II Credits: 3
• STAT 745 - Statistical Graphics Credits: 3
• STAT 760 - Optimization for Data Science Credits: 3
• STAT 761 - Discrete Optimization and Scalability for Data Science Credits: 3
• STAT 764 - Applied Spatio-Temporal Statistics Credits: 3
• STAT 766 - Applied Data Mining/Machine Learning and Predictive Analytics Credits: 3
• STAT 768 - Applied Bayesian Modeling and Prediction Credits: 3
• IMSE 785 - Big Data Analytics Credits: 3
• CC 535 - Applied Data Science Credits: 3
• CIS 531 - Introduction to Programming Techniques for Data Science and Analytics Credits: 3

• Topics courses that address Data Science with the approval of the Certificate Coordinator.

• CIS Foundations of Data Science and Data Science in Practice will be included once they have an official course number and are approved.

Total Hours Required: 15