Data Science Minor

Data Science Minor

Data Science students working

Focusing on the theoretical, mathematical and computational foundations of modern data science, our Data Science minor prepares you with the understanding of how to interpret and manipulate data.

The field of analytics and data science impacts nearly all aspects of the economy, society and daily life. This highly interdisciplinary minor emphasizes mathematics and computer science skills—skills that are in high-demand in industries from finance to healthcare to marketing and more.

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.

Contact

Curriculum & Requirements

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 425 Introduction to 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
Data Structures Fundamentals
Introduction to Computer Science II
From Programs to Computer Science
Select three of the following: 112
Introduction to Artificial Intelligence
Machine Learning
Information Retrieval
Database Systems
Linear Algebra for Applications
Advanced Statistical Methods for Research
Data Mining and Predictive Analytics
Applied Regression Analysis
Neural Networks
Big Data
Total Credits20

For more information, contact Jeremiah Johnson, program coordinator and minor supervisor, at jeremiah.johnson@unh.edu.