Data Science, Minor - CEPS, UNH

Undergraduate

Data Science

Learn essential skills in predictive modeling, data visualization, and pattern recognition.
2026
Degree
Minor
Location
Durham, NH
Courses
5
Credit
20 hrs.
Full-time
- -
Part-time
- -
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COmputer Science

The Data Science minor at UNH offers essential training in data analysis and interpretation techniques. Here you'll be able to explore artificial intelligence, neural networks, and big data applications while gaining hands-on experience with real-world datasets. 

Through specialized coursework in data mining and advanced analytics, you'll develop valuable expertise that enhances career opportunities across industries from healthcare to finance.

Computer Science Department

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Matthew Magnusson
Senior Lecturer
Matthew.Magnusson@unh.edu
Kingsbury Hall, Room W243, Durham, NH 03824
(603) 862-3778

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

Curriculum & Requirements

01
Program Description
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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 interested in the Data Science minor should contact matthew.magnusson@unh.edu for more information.

02
Requirements for the Program
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Academic policies related to Minors.

Credit toward the minor will only be given for courses passed with C- or better, and a 2.00 grade-point average must be maintained in courses for the minor.

  • Courses taken on a pass/fail basis may not be used for a minor.
  • No more than 8 credits used to satisfy major requirements may be used for the minor.
  • No more than 2 courses or 8 credits may be from transfer coursework. Any transferred coursework must be approved by the minor coordinator.

For additional details on how to declare a minor, please visit https://www.unh.edu/registrar/academic-records/majors-minors.

Some preparation in programming (CS 415 Introduction to Computer Science I ), and math (MATH 425 Calculus I, MATH 426 Calculus II, and MATH 539 Introduction to Statistical Analysis or MATH 644 Statistics for Engineers and Scientists) is required.  

Requirements
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 and Generation Systems
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
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.

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