Data Science Minor (Manchester)

The objective of this minor is to provide a basic background in data science for those who are more interested in the theoretical underpinnings of analytics and data science.
For more information, contact Jeremiah Johnson, minor supervisor.

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 424 Applied Computing 1: Foundations of Programming , CS 414 From Problems to Algorithms to Programs or CS 415 Introduction to Computer Science I) is required.

CS 515Data Structures and Introduction to Algorithms4
Select one of the following:4
Data Structures Fundamentals
Introduction to Computer Science II
Select three of the following: 112
Introduction to Artificial Intelligence
Machine Learning
Information Retrieval
Database Systems
Linear Algebra for Applications
Advanced Statistical Modeling
Data Mining and Predictive Analytics
Applied Regression Analysis
Neural Networks
Mining Massive Datasets
Total Credits20

Must select at least one CS and one MATH course. Must select CS 750 Machine Learning or MATH 738 Data Mining and Predictive Analytics.