Data Science (Minor)

Data Science (Minor)
Student looking at data on a computer screen

The Data Science minor at UNH is designed to equip students with essential skills for analyzing and interpreting large datasets, a critical asset in today’s data-driven world. You’ll explore courses in artificial intelligence, neural networks, data mining, and big data, gaining a strong foundation in the theoretical and practical aspects of data science. As a pioneer in offering undergraduate-level data science programs, UNH provides hands-on learning experiences that prepare you for careers in industries like finance, healthcare, marketing, and beyond. 


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
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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 matthew.magnusson@unh.edu

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.

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
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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