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A minimum of five courses to include:

- CS 125 / DS 125 - Introduction to Computer and Data Sciences
- The following are approved substitutions for students who have already taken them:
- CS 126 - Introduction to Computer Science with the Web
- CS 127 - Introduction to Computer Science

- The following are approved substitutions for students who have already taken them:
- CS 136 / MATH 136 - Discrete Mathematics
- One statistics course from the list:
- BIOL 209: Biostatistics and Experimental Design
- ECON 227: Statistics for Business and Economics
- MATH 141: Math Modeling: Statistics
- note that Math majors may replace MATH 141 with MATH 325: Mathematical Statistics

- PSYC 227: Statistics
- SOC 227: Social Statistics

- CS 377 / DS 377 / PSYC 377 - Applied Data Analysis
- DS 395 - Directed Study: Data Science Capstone

The following approved substitutions may count toward the minor if any of the five required courses are counted toward a student’s major:

- CS 314: Database Systems
- ECON 328: Applied Econometrics
- ECON 338: Time Series Analysis
- MATH 215: Linear Algebra
- MATH 303: Regression and Time Series

Students pursuing a minor in Data Science should consider the following:

- Though there are three options for satisfying the introductory course requirement, students who have not already taken CS 126 or CS 127 should enroll in CS/DS 125, as it is the most relevant to the minor.
- Students pursuing a Data Science minor should seek to take courses in their major and/or area of interest that involve the collection, analysis, or other use of data. More exposure to the use of data within their field will provide more opportunities to identify connections to Data Science and to develop ideas for a capstone project.