Undergraduate

Statistics

Master multiple statistical software platforms—from R and SAS to JMP—while developing practical skills in complex data modeling and analysis.

Degree

Minor

Location

Durham, NH

Courses

Credit

20 hrs.

Full-time

- -

Part-time

- -

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Mathematics and Statistics

The Statistics minor at UNH offers essential training in statistical analysis and data interpretation for today's quantitative world. Here you'll be able to master multiple statistical software platforms—from R and SAS to JMP—while developing practical skills in complex data modeling and analysis.

With a focus on hands-on learning, small class sizes, and close faculty mentorship, our program enhances majors across mathematics, data science, business, economics, and social sciences. This specialized training prepares you for success in diverse career paths, from actuarial science and research to government and industry roles where data-driven decision-making is essential.

*Number of courses and course credit hours may vary, please reach out to your academic advisor for exact requirements.

Mathematics and Statistics Department

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Veronica Hupper

Senior Lecturer

Veronica.Hupper@unh.edu

Kingsbury Hall, Room N321d, Durham, NH 03824

(603) 862-2314

What is a minor in statistics?

The statistics minor offers the fundamentals of statistical analysis and its applications. You’ll receive an introduction to modern statistical theory and experience using statistical software —including R, SAS and JMP —to analyze complex physical, biological and economic models. The statistics minor can be combined with a major in mathematics, data science, business, economics, social sciences and others to prepare for a variety of careers in actuarial science, research, education, government and industry.

Why study statistics at UNH?

You’ll work with a diverse faculty of accomplished mathematicians in a department where pure mathematics, applied mathematics, mathematics education and statistics are integrated, giving you exposure to many different facets of knowledge. Upper-level mathematics classes tend to be small, so you’ll enjoy close connections to professors as they delve into the intricacies of advanced ideas.

Potential career areas

Computational science
Education
Financial services
Government
Programming
Research
Sociology
Software development
Statistics

Curriculum & Requirements

Program Description

The minor in statistics is designed for students in other majors who want to learn the fundamentals of statistical analysis and its applications.

For further information, please contact the minor coordinator located on the department website.

Requirements for the Program

Academic policies related to Minors.

The minor requires a minimum of five MATH courses as detailed in the minor requirements. Additional courses from the list of course electives may be utilized to meet the five-course minimum.

Course List
Code	Title	Credits
Required
MATH 539	Introduction to Statistical Analysis	4
or MATH 644	Statistics for Engineers and Scientists
MATH 645	Linear Algebra for Applications ¹	4
Electives
Select three courses from the following:		12
MATH 736	Advanced Statistical Modeling
MATH 737	Statistical Methods for Quality Improvement and Design
MATH 739	Applied Regression Analysis
MATH 740	Design of Experiments I
MATH 741	Survival Analysis
MATH 743	Time Series Analysis
MATH 744	Design of Experiments II
MATH 755	Probability with Applications
MATH 756	Principles of Statistical Inference
Total Credits		20