Data Science Minor

Required courses

• COMP 115 - Problem Solving and Python Programming

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• MATH 151 - Introduction to Data Science *

• or

• MATH 141 - Introductory Statistics *

• or

• MGMT 141 - Statistics for Social Sciences *

• or

• PSY 141 - Statistics for the Social Sciences *

• or

• SOC 141 - Statistics for Social Sciences *

•  

   

  *Students taking one of the 141 courses for the minor will be required to take at least one of MATH 245 or MATH 251 as one of their electives.  Only one of 141 or 151 can be counted for credit, not both.

Elective courses

Three from the following, at least one at the 300-level

• COMP 118 - Object-Oriented Programming
• COMP 218 - Data Structures
• COMP 318 - Algorithms
• COMP 325 - Database Systems

•  

• ECON 255 - Corporate Finance

• or

• MGMT 255 - Corporate Finance

•  

• ECON 262 - Health Economics
• ECON 330 - Applied Econometrics

•  

• ECON 370 - Investment

• or

• MGMT 370 - Investments

•  

• MATH 251 - Methods of Data Analysis
• MATH 241 - Theory of Probability
• MATH 261 - Modeling and Simulation in R
• MATH 342 - Mathematical Statistics
• MATH 352 - Machine Learning
• PHYS 228 - Scientific Computing
• SOC 272 - Telling Stories with Data

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  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.