Data Science Minor (Manchester)
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 424 Applied Computing 1: Foundations of Programming , and programming (CS 414 From Problems to Algorithms to Programs or CS 415 Introduction to Computer Science I) is required.
|CS 515||Data Structures and Introduction to Algorithms||4|
|Select one of the following:||4|
|Data Structures Fundamentals|
|Introduction to Computer Science II|
|Select three of the following: 1||12|
|Introduction to Artificial Intelligence|
|Linear Algebra for Applications|
|Advanced Statistical Modeling|
|Data Mining and Predictive Analytics|
|Applied Regression Analysis|
|Mining Massive Datasets|
For more information, contact Jeremiah Johnson, minor supervisor.