Data Science (Minor)

Data Science (Minor)

Major in Analytics and Data Science Data Science Option

What is data science?

With an explosion of big data initiatives in organizations worldwide, the demand for data-savvy individuals has never been higher. This program is designed to provide a basic foundation for students interested in the theoretical underpinnings of analytics and data science. Choose from courses in artificial intelligence, neural networks, data mining and big data. Data science is being applied in many organizations within industry, academy and government, and the job demand reflects this growth. With the experience provided by this minor, you’ll gain a competitive advantage in this rapidly growing field.

Why study data science at UNH?

UNH was one of the first universities in the country to offer an undergraduate-level degree in analytics and data science. Our programs take a multidisciplinary approach that incorporates experiential education and projects. You’ll learn to manage, distill and interpret data for industries from finance to healthcare to marketing and advertising. The data science minor is available on both the Durham and Manchester campuses.

Potential Careers

  • Actuary
  • Business analyst
  • Consultant
  • Data engineer
  • Data scientist
  • Management analyst
  • Market research analyst
  • Statistician
  • Quantitative analyst


Department of Computer Science
Kingsbury Hall N229, 33 Academic Way
Durham, NH 03824

Phone: (603) 862.3778

Curriculum & Requirements

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 Matthew Magnusson, program coordinator and minor supervisor, at

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 (CS 415: Introduction to Computer Science I, or COMP 425: Introduction to Programming) is required.

CS 515Data Structures and Introduction to Algorithms4
Select one course from the following:4
CS 417
From Programs to Computer Science (Durham Students)
CS 416
Introduction to Computer Science II
COMP 525
Data Structures Fundamentals (Manchester Students)
Select three courses from the following: 112
CS 730
Introduction to Artificial Intelligence
CS 750
Machine Learning
CS 753
Information Retrieval
CS 757
Mathematical Optimization for Applications
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

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

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