Data Science Minor

Eight required credits:

• COMP 115 Problem Solving and Python Programming  

Choose one from the following:

• MATH 141 Introductory Statistics  
• MATH 151 Introduction to Data Science  
• MGMT 141 Statistics for Social Sciences  
• PSY 141 Statistics for the Social Sciences  
• SOC 141 Statistics for Social Sciences  

Students taking one of the 141 courses for the minor will be required to take MATH 245 or MATH 251 as one of their electives.  

Twelve elective credits chosen from below:

 At least four credits must be at the 300-level.

• COMP 118 - Object-Oriented Programming
• COMP 218 - Data Structures
• COMP 318 - Algorithms
• COMP 325 - Database Systems
• ECON 262 - Health Economics
• ECON 330 - Applied Econometrics
• MATH 241 - Theory of Probability
• MATH 251 - Methods of Data Analysis
• MATH 261 - Modeling and Simulation in R
• MATH 342 - Mathematical Statistics
• MATH 352 - Machine Learning
• MGMT 255 - Corporate Finance
• MGMT 370 - Investments
• PHYS 228 - Scientific Computing
• SOC 272 - Telling Stories with Data

• Note:  Independent Study 399 by permission.  There are independent studies in Math, Computer Science, Management, Bioinformatics, Neuroscience, etc. that will satisfy a 300-level course in this minor.

Note:

The Grade/Pass/Fail option can be used to apply a “P” grade for one course under the minor requirements.