Statistics (B.S.)

Statistics (B.S.)

Presentation of data set to course

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, and you can also pursue an accelerated master’s degree. 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.

Graduation 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.

Plan of Study Grid
First Year
MATH 425 Calculus I 4
Discovery Course 4
Discovery Course 4
Discovery 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
Inquiry 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
Discovery Course 4
Discovery Course 4
700-level MATH Elective Course 4
700-level MATH Elective Course 4
700-level MATH Elective Course 4
Elective Course 4
Fourth Year
MATH 755 Probability with Applications 4
700-level MATH Elective Course 4
700-level MATH Elective Course 4
Elective Course 4
MATH 756 Principles of Statistical Inference 4
700-level MATH Elective Course 4
Elective Course 4
Elective Course 4
 Total Credits129
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 of the following courses12
MATH 736
Advanced Statistical Methods for Research
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 of the following
MATH 797Senior Seminar4
MATH 798Senior Project4
MATH 799Senior Thesis2 or 4
Total Credits74-76
  • 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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