Statistics (B.S.)

Statistics (B.S.)

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What is a Bachelor of Science in statistics?

This degree program offers broad coverage of modern statistical theory and extensive experience using statistical software – including R, SAS and JMP – to analyze complex physical, biological and economic models. The statistics program prepares students for graduate study and provides several elective options that prepare graduates for successful careers in actuarial science.

Why study statistics at UNH?

You’ll study and gain practical experience in statistics alongside accomplished mathematicians, statisticians and educators who have won prestigious honors, including a Grammy Award and MacArthur “genius” grant. You’ll enjoy many small, specialized classes that will prepare you for a wide range of careers. This department has produced many winners of the prestigious Department of Defense SMART Scholarship.

Potential careers

  • Computational scientist
  • Financial services/actuary
  • Mathematician/statistician (government/research/academia)
  • Programmer
  • Quantitative specialist in business or industry
  • Software developer
  • Teacher/educator/curriculum supervisor


Curriculum & Requirements

This program prepares students for employment and/or graduate study in a variety of fields and research specializations in which statistical analysis and its applications play a critical role. In addition to its degree programs, the department has an active interest in the actuarial profession. Those interested in actuarial science should seek the advice of departmental coordinator of the actuarial program, Professor Linyuan Li.

Plan of Study Grid
First Year
MATH 425 Calculus I 4
Discovery Course 4
Discovery Course 4
Inquiry Course 4
MATH 400 Freshman Seminar 1
MATH 426 Calculus II 4
MATH 445
or CS 410C
or CS 410P
Mathematics and Applications with MATLAB
or Introduction to Scientific Programming/C
or Introduction to Scientific Programming/Python
ENGL 401 First-Year Writing 4
Discovery Course 4
Second Year
MATH 528 Multidimensional Calculus 4
MATH 531 Mathematical Proof 4
Discovery Course 4
Discovery Course 4
MATH 527 Differential Equations with Linear Algebra 4
MATH 539 Introduction to Statistical Analysis 4
Discovery Course 4
Writing Intensive Course 4
Third Year
MATH 645 Linear Algebra for Applications 4
MATH 739 Applied Regression Analysis 4
700-level MATH Elective Course 4
Discovery Course 4
700-level MATH Elective Course 4
700-level MATH Elective Course 4
Elective Course 4
Writing Intensive Course 4
Fourth Year
MATH 755 Probability with Applications 4
MATH 797
or MATH 798
or MATH 799
Senior Seminar
or Senior Project
or Senior Thesis
700-level MATH Elective Course 4
Elective Course 4
MATH 756 Principles of Statistical Inference 4
MATH Elective Course 4
Elective Course 4
Elective Course 4
 Total Credits129

Degree Requirements

Minimum Credit Requirement: 128 credits
Minimum Residency Requirement: 32 credits must be taken at UNH
Minimum GPA: 2.0 required for conferral*
Core Curriculum Required: Discovery & Writing Program Requirements
Foreign Language Requirement: No

All Major, Option and Elective Requirements as indicated.
*Major GPA requirements as indicated.

Major Requirements

In all courses used to satisfy the requirements for its major programs, the Department of Mathematics and Statistics requires that a student earn a grade of C- or better and have an overall grade-point average of at least 2.00 in these courses.

Required MATH Courses
MATH 425Calculus I4
MATH 426Calculus II4
MATH 445Mathematics and Applications with MATLAB4
or CS 410P Introduction to Scientific Programming/Python
or CS 410C Introduction to Scientific Programming/C
MATH 527Differential Equations with Linear Algebra 14
MATH 528Multidimensional Calculus 14
MATH 531Mathematical Proof4
MATH 539Introduction to Statistical Analysis4
MATH 645Linear Algebra for Applications 14
MATH 739Applied Regression Analysis4
MATH 755Probability with Applications4
MATH 756Principles of Statistical Inference4
TWO approved MATH electives, selected in consultation with the major advisor (at least one at the 700-level)8
Select THREE courses from the following:12
MATH 734
Statistical Computing
MATH 736
Advanced Statistical Modeling
MATH 737
Statistical Methods for Quality Improvement and Design
MATH 740
Design of Experiments I
MATH 741
Survival Analysis
MATH 743
Time Series Analysis
MATH 744
Design of Experiments II
Capstone - Select one course from the following:4
MATH 797
Senior Seminar
MATH 798
Senior Project
MATH 799
Senior Thesis
Total Credits68

The full Linearity sequence, MATH 525 and MATH 526, may be used to replace the MATH 527, MATH 528, and MATH 645 requirements.

MATH 525 may be used to replace the MATH 645 requirement.

  • Communicate theoretical foundations and principles of intermediate-level statistics to diverse audiences.
  • Design an appropriate method of data collection for a variety of practical applications.
  • Perform analyses using the established tools of applied statistics, including production of appropriate software output and its interpretation.

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