The objective of this minor is to provide a basic background in analytics for those interested in applications.
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 (CS 414: From Problems to Algorithms to Programs, CS 415: Introduction to Computer Science I, or COMP 425: Introduction to Programming) is required.
|DATA 557||Introduction to Data Science and Analytics||4|
|CS 417||From Programs to Computer Science (Durham Students)||4|
|or COMP 525||Data Structures Fundamentals|
|MATH 545||Introduction to Linear Algebra||4|
|MATH 645||Linear Algebra for Applications||4|
|Select one of the following:||4|
|Predictive and Prescriptive Analytics I|
|Predictive and Prescriptive Analytics II|
For more information, contact Wheeler Ruml, program coordinator and minor supervisor, at email@example.com.