The Data Analytics minor equips students with the analytical practices and technology skills required to interact with complex real-world data. Data Analytics is evidence-based problem recognition and solving within the context of organizational needs. The minor is an interdisciplinary area of study designed to prepare students for entry-level jobs in fields that apply Data Analytics and for graduate work in disciplines that utilize Data Analytics. Students will complete 5 courses to earn a minor in Data Analytics.
Minor requirements include:
- Full-time degree candidates from any major.
- A minimum cumulative grade point average of 2.0 is required at the time of the registration for a minor.
- Successful completion of five courses selected from the required courses. A cumulative grade point average of 2.0 is required in the courses for the minor.
- Formal registration for the minor should preferably be completed no later than the 2nd semester of the junior year.
- CS 111: Computing I (Quantitative Reasoning)
- One course from: BU121, PY301, MA330, SO212, BI345, CJ200, or other approved statistics course
- CS345/MA345: Foundations of Data Science and Analytics * (prerequisites: CS 111 and statistics)
- CS 370: Database Management
A discipline specific elective predetermined and approved with coordination through the department in which the major is housed** or one course from the following:
- CS 210: Introduction to Geographic Information Systems
- CS 211: Remote Sensing
- CS 213: Data Structures and Algorithms (*Does not apply for CS Majors as a minor elective)
- MA260: Problem Solving
- CS 310: Advanced Algorithmic Analysis
- CS 360: Artificial Intelligence