The Data Analytics (DATA) minor, rooted in the liberal arts and interdisciplinary in nature, provides opportunities for students to discover new knowledge and explore problems through the ethical acquisition and analysis of data. Data Analytics provides students with the opportunity to acquire the tools of data visualization, statistical analysis, and programming and to use those tools to answer meaningful questions related to problems and topics in a wide variety of fields. Depending on the student, data analytics will allow students to think of ways to shape policy, direct business, manage finance, understand health outcomes, assess biological and ecological systems, and even understand language and history. Upon completing the Data Analytics minor:

• Our students will be able to ask meaningful questions of data relevant to their primary disciplinary interest.
• Our students will prioritize the ethics of the collection, communication, and curation of the data they analyze.
• Our students will effectively visualize and analyze data and communicate their findings persuasively.
• Our students will be prepared to take the questions, ethics, and tools they acquire in this program to their future careers and academic studies.

Minor (22 credits)

Required Courses

• College-Level Statistics (4 credits) – (e.g., MT124, MT345, PSYC 221, AP Stats (4 or better), or others with approval) 
• DATA 162 (2 credits) – Introductory Data Analysis and Visualization
• CSCI 150 (4 credits) – Introduction to Programming and Problem Solving
• DATA 272 (2 credits) – Intermediate Data Analysis and Visualization
  Prerequisite: CSCI 150, DATA 162, and 1 college-level statistics course
• DATA 314 (2 credits) – Data Analysis Project
  Prerequisite: DATA 272 and completion of 1 Elective course

Elective Courses

8 credits of approved electives:

• at least 4 credit outside the student’s major and
• at least 4 credits at the 300-level.

Current approved electives are found on the Courses and Current Electives page.