Close Alert

Return to Campus Update

Coronavirus (COVID-19): The latest updates about USciences return to campus: The full plan for a phased return of employees and students:

Data Science Minor

In This Section

    Data Science Minor

    The ability to extract meaningful information from large volumes of data is becoming an essential skill in every job, every industry, and virtually every decision. The demand is high and the possibilities are endless for professionals who can interpret data to produce new and potentially useful knowledge in their own field of work. 

    This interdisciplinary data science minor program will equip students with the statistical, mathematical and computational tools required to sift through terabytes of information to identify new trends, patterns, connections and structures. 

    Required Courses (12 credits)

    • DS 201 - Introduction to Data Science I, Credits: 3
    • DS 202 - Introduction to Data Science II, Credits: 3

    Any two of the following DS courses (the course not taken may be taken as an elective): 

    • DS 301 - Data Visualization (cross-listed as ST 311), Credits: 3
    • DS 401 - Time Series and Forecasting (cross-listed as ST 401), Credits: 3
    • DS 403 - Applied Machine Learning, Credits: 3

    Elective Courses (6 credits)

    Note: Other courses may be used to satisfy the elective requirements with approval by the minor program director. 

    • BI 425 - Bioinformatic Computing, Credits: 3
    • CH 448 - Computer-Aided Drug Design (CADD), Credits: 3
    • CS 320 - Data Structures, Credits: 3
    • CS 324 - Database Design, Credits: 3
    • MA 314 - Discrete Mathematics, Credits: 3
    • MA 316 - Linear Algebra, Credits: 3
    • MA 410 - Numerical Analysis, Credits: 3
    • MA 422 - Mathematical Modeling, Credits: 3
    • PY 425 - Chaos and Nonlinear Dynamics (cross-listed as MA 425), Credits: 3
    • ST 310 - Introduction to Biostatistics, Credits: 3
    • ST 320 - Introduction to Probability, Credits: 3
    • ST 331 - Regression Analysis, Credits: 3
    • ST 340 - SAS Programming and Data Analysis, Credits: 3

    Requirements and Expectations

    • You must complete 18 credits of required and elective courses for the minor.
    • A minimum of 12 credits of minor coursework must be completed in addition to any courses (required courses or program electives) included in the major curriculum.
    • You should apply to the minor early in your academic career, usually by the fifth semester of college work, but no later than the end of the drop/add period of the first semester of your last year of didactic work.