Analytics (Minor)

Analytics (Minor)

Analytics students in a classroom

Created in response to the growing need for analytics professionals, the minor in Analytics prepares you with the skills to manage, distill and interpret data.

Analytics and data science are being applied in many organizations within industry, academia and government, and the job demand reflects this growth. Centered on the applications of data science in industry, the Analytics minor complements any major by building your foundation in mathematics, computer science and business behavior.

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


Curriculum & Requirements

The objective of this minor is to provide a basic background in analytics for those interested in applications of data science.

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 424 Applied Computing 1: Foundations of Programming, CS 414 From Problems to Algorithms to Programs or CS 415 Introduction to Computer Science I) is required.


DATA 557Introduction to Data Science and Analytics4
COMP 525Data Structures Fundamentals4
COMP 570Statistics in Computing and Engineering4
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

See equivalent requirements for the minor if taken on the Durham campus

For more information, contact Jeremiah Johnson, minor supervisor.