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. COMP 425: Introduction to Programming
|CS 417||From Programs to Computer Science (Durham Students)||4|
|or COMP 525||Data Structures Fundamentals|
|CS 457||Introduction to Data Science and Analytics||4|
|or DATA 557||Introduction to Data Science and Analytics|
|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|
|Mining Massive Datasets|
For more information, contact Wheeler Ruml, program coordinator and minor supervisor, at firstname.lastname@example.org.