Data Science Minor

Data is central to the natural and social sciences, to business, and to economics, and it is increasingly used in the humanities.

As information technology grows in power and ubiquity, the amount of data collected is growing tremendously. Data science is a field that focuses on the specific problems of acquiring, curating, and exploring data, via visualization and statistical analysis, to aid decision making.

The Data Science Minor develops skills in each of the following areas:

  • Algorithmic / computational thinking
  • Communication (written and verbal)
  • Data curation / management
  • Ethics (privacy, data access, control)
  • Machine learning
  • Process / reproducibility
  • Programming
  • Statistics / statistical inference
  • Visualization

 

Course Sequence 

A minimum of five courses to include:

  • CS/DS 125 - Introduction to Computer and Data Sciences
    • The following are approved substitutions for students who have already taken them: (CS126, CS127)
  • CS 136 / MATH 136 - Discrete Mathematics
  • One statistics course from the following:
    • BIOL 209: Biostatistics and Experimental Design
    • ECON 227: Statistics for Business and Economics
    • MATH 141: Math Modeling: Statistics (note: Math majors may replace MATH 141 with MATH 325)
    • PSYC 227: Statistics
  • CS/DS 377 - Applied Data Analysis
  • DS 395 - Directed Study: Data Science Capstone

 

Course Substitutions

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

 

Additional Considerations 

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.