Analytics (Minor)

Analytics (Minor)

Analytics students in a classroom

Created in response to the growing need for analytics professionals, the minor in Analytics prepares you with the skills to manage, distill and interpret data.

Analytics and data science are being applied in many organizations within industry, academia and government, and the job demand reflects this growth. Centered on the applications of data science in industry, the Analytics minor complements any major by building your foundation in mathematics, computer science and business behavior.

The objective of this minor is to provide a basic background in analytics for those interested in applications.


Curriculum & Requirements

Students must complete five courses (20 credits) with a cumulative minimum grade point average of 2.0 and with no grade below a C- grade. Transfer course approval for the minor is limited to at most, two relevant courses successfully completed at another accredited institution, subject to syllabi review and approval. Some preparation in MATH 425 Calculus I and programming (COMP 425 Introduction to Programming, CS 414 From Problems to Algorithms to Programs or CS 415 Introduction to Computer Science I) is required.


DATA 557Introduction to Data Science and Analytics4
COMP 525Data Structures Fundamentals4
COMP 570Statistics in Computing and Engineering4
MATH 645Linear Algebra for Applications4
Select one of the following:4
DATA 674
Predictive and Prescriptive Analytics I
DATA 675
Predictive and Prescriptive Analytics II
DATA 750
Neural Networks
DATA 757
Big Data
Total Credits20
For more information, contact Jeremiah Johnson, program coordinator and minor supervisor, at