Analytics (Minor)

Analytics (Minor)

Major in Analytics and Data Science Analytics Option

What is analytics?

The demand for data-savvy individuals has never been higher, and the analytics minor gives you an introduction to the tools you’ll need for a career involving data science and analytics, focused on the application of data science in industry. In addition to courses in mathematics, computer science and analytics, you can study neural networks and big data. Combine this minor with a major in the sciences, computer science, business, marketing or social sciences to bring enhanced skills to your career or graduate studies.With the experience provided by this minor, you’ll gain a competitive advantage in this rapidly growing field.

Why study analytics 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 the cutting-edge technical skills you need to manage, distill, and interpret data for industries from finance to healthcare to marketing and advertising. The analytics minor is available through both the Durham and Manchester campuses.

Potential careers

  • Actuary
  • Business analyst
  • Consultant
  • Management analyst
  • Market research analyst
  • Quantitative analyst
  • Sociologist
  • Web analytics specialist


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 analytics for those interested in applications.

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 417From Programs to Computer Science (Durham Students)4
or COMP 525 Data Structures Fundamentals
CS 457Introduction to Data Science and Analytics4
or DATA 557 Introduction to Data Science and Analytics
MATH 545Introduction to Linear Algebra4
MATH 645Linear Algebra for Applications4
Select one of the following:4
DATA 674
Predictive and Prescriptive Analytics I
DATA 675
Predictive and Prescriptive Analytics II
DATA 750
Neural Networks
DATA #757
Mining Massive Datasets
Total Credits20

For more information, contact Matthew Magnusson, program coordinator and minor supervisor, at

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