Data Science Minor (Manchester)

https://manchester.unh.edu/program/minor/data-science

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.

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.

Requirements
CS 515Data Structures and Introduction to Algorithms4
Select one of the following:4
COMP 525
Data Structures Fundamentals
CS 416
Introduction to Computer Science II
Select three of the following: 112
CS 730
Introduction to Artificial Intelligence
CS 750
Machine Learning
CS 753
Information Retrieval
CS 775
Database Systems
MATH 645
Linear Algebra for Applications
MATH 736
Advanced Statistical Modeling
MATH 738
Data Mining and Predictive Analytics
MATH 739
Applied Regression Analysis
DATA 750
Neural Networks
DATA #757
Mining Massive Datasets
Total Credits20
1

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

For more information, contact Jeremiah Johnson, minor supervisor.