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DATAn - Data Science Minor

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Program Title

Data Science

Program Type

Minor

Degree Designation

Minor

Program Description

Effective: Fall 2017, Fall 2022

In recent years, data analysis and visualization, computer simulation, and computer modeling have become increasingly important tools for disciplinary research and inquiry. In many areas the change has been revolutionary, transforming the nature of knowledge itself. For example, without computing technology, we simply could not know what we do today about genomics, neuroscience, or geography. Further from traditional science disciplines, data—supported by tools that access, process, summarize, and visualize it—have given us Google Translate, GPS, instant access to centuries’ worth of music and art, and much more.

Data science has arguably democratized knowledge and information (if sometimes imperfectly). This minor will enable students to participate in the data revolution not only as consumers, but as creators and developers, and to understand and experience the role of data technology in modern research and decision making.

Requisites

Requirements for the Minor (24 credits)


I. Preparatory Courses (8 credits)

Complete the following:

a. One introductory course in computer programming selected from the following list:

  • course - Introduction to Computer Science in JavaScript

  • course - Introduction to Computer Science in Python

  • course - Statistical Computing in R

b. Introductory Statistics

  • course - Introduction to Statistics

II. Core Courses (8 credits)

Complete 8 credits, selected from the following:

  • course - Data Science: Introduction, History, and Case Studies

  • course - Data Visualization

  • course - Applied Data Analysis

  • course - Modeling and Simulation OR course - Modeling and Simulation

III. Elective Courses (8 credits)

Complete 8 credits, least 4 credits of which are separate from the four core courses, selected from the following:

  • course - Information Management

  • course - Data Visualization

  • course - Applied Data Analysis

  • course - Data Science Across the Curriculum

  • course - Modeling and Simulation OR course Modeling and Simulation

  • course - Statistics Using R

  • course - Computational Thinking/Programming in Python

  • course - Cryptocurrency Investing

  • course - Sports Statistics

  • course - Text Mining

  • course - Applied Regression Analysis

  • course - Bayesian Statistics

  • course - Statistical Machine Learning

  • course - History by the Numbers

  • course - Geographic Information Systems OR course - Geographic Information Systems

  • course - Databases & Information Management OR course - Computational Modeling of Neural Systems OR course - Computational Modeling of Neural Systems