Data Analytics Minor

The Computer Science department offers the minor in Data Analytics. This 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.

Required Courses:

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