
Michelle Capozzoli
Senior Lecturer 
Linyuan Li
PROFESSOR 
Ernst Linder
Professor Emeritus 
Qi Zhang
Assistant Professor
Statistics (B.S.)
Statistics (B.S.)
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 gradepoint average of at least 2.00 in these courses.
First Year  

Fall  Credits  
MATH 425  Calculus I  4 
Discovery Course  4  
Discovery Course  4  
Inquiry Course  4  
MATH 400  Freshman Seminar  1 
Credits  17  
Spring  
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 
4 
ENGL 401  FirstYear Writing  4 
Discovery Course  4  
Credits  16  
Second Year  
Fall  
MATH 528  Multidimensional Calculus  4 
MATH 531  Mathematical Proof  4 
Discovery Course  4  
Discovery Course  4  
Credits  16  
Spring  
MATH 527  Differential Equations with Linear Algebra  4 
MATH 539  Introduction to Statistical Analysis  4 
Discovery Course  4  
Writing Intensive Course  4  
Credits  16  
Third Year  
Fall  
MATH 645  Linear Algebra for Applications  4 
MATH 739  Applied Regression Analysis  4 
700level MATH Elective Course  4  
Discovery Course  4  
Credits  16  
Spring  
700level MATH Elective Course  4  
700level MATH Elective Course  4  
Elective Course  4  
Writing Intensive Course  4  
Credits  16  
Fourth Year  
Fall  
MATH 755  Probability with Applications  4 
MATH 797 or MATH 798 or MATH 799 
Senior Seminar or Senior Project or Senior Thesis 
4 
700level MATH Elective Course  4  
Elective Course  4  
Credits  16  
Spring  
MATH 756  Principles of Statistical Inference  4 
MATH Elective Course  4  
Elective Course  4  
Elective Course  4  
Credits  16  
Total Credits  129 
Code  Title  Credits 

Required MATH Courses  
MATH 425  Calculus I  4 
MATH 426  Calculus II  4 
MATH 445  Mathematics and Applications with MATLAB  4 
or CS 410P  Introduction to Scientific Programming/Python  
or CS 410C  Introduction to Scientific Programming/C  
MATH 527  Differential Equations with Linear Algebra ^{1}  4 
MATH 528  Multidimensional Calculus ^{1}  4 
MATH 531  Mathematical Proof  4 
MATH 539  Introduction to Statistical Analysis  4 
MATH 645  Linear Algebra for Applications ^{1}  4 
MATH 739  Applied Regression Analysis  4 
MATH 755  Probability with Applications  4 
MATH 756  Principles of Statistical Inference  4 
TWO approved MATH electives, selected in consultation with the major advisor (at least one at the 700level)  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 Credits  68 
 ^{ 1 }
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 intermediatelevel 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.