
Adam Boucher
SENIOR LECTURER 
John McClain III
Senior Lecturer 
Kevin Short
PROFESSOR
Applied Mathematics (B.S.)
Applied Mathematics (B.S.)
What is the bachelor of science degree in applied mathematics?
The applied mathematics degree program combines a strong foundation in mathematics with broad exposure to both theoretical and computational models of physical systems in the natural and social sciences. Students are prepared for a wide range of careers or graduate study in applied mathematics or a related field.
Why study applied mathematics at UNH?
You will work alongside accomplished mathematicians, statisticians and mathematics educators who are professionally active. Upperlevel mathematics classes tend to be small, so you’ll enjoy close connections to professors as they delve into the intricacies of advanced ideas. An accelerated master’s program is available in applied mathematics,allowing students to complete their master’s degree early. This department has produced many winners of the prestigious Department of Defense SMART Scholarship.
Potential careers
 Budget analyst
 Computational scientist
 Economist
 Financial services/actuary
 Mathematician/statistician (government/research/academia)
 Mechanical engineer
 Programmer
 Quantitative specialist in business or industry
 Software developer
 Teacher/educator/curriculum supervisor
Contact
Connect with us
This form is only for prospective students who are not already enrolled at UNH. If you are a current UNH student and interested in this program, please reach out to the contact on this page.
Curriculum & Requirements
This degree prepares students for careers in science, engineering, and industry by giving students broad exposure to both theoretical and computational models of physical systems in the physical, natural, and social sciences.
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 
CS 414 or CS 415 
From Problems to Algorithms to Programs or Introduction to Computer Science I 
4 
Discovery Course  4  
Inquiry Course  4  
MATH 400  Freshman Seminar  1 
Credits  17  
Spring  
MATH 426  Calculus II  4 
CS 417 or CS 416 
From Programs to Computer Science or Introduction to Computer Science II 
4 
ENGL 401  FirstYear Writing  4 
Discovery Course  4  
Credits  16  
Second Year  
Fall  
MATH 445 or IAM 550 
Mathematics and Applications with MATLAB or Introduction to Engineering Computing 
4 
MATH 527  Differential Equations with Linear Algebra  4 
PHYS 407  General Physics I  4 
Discovery Course  4  
Credits  16  
Spring  
MATH 528  Multidimensional Calculus  4 
MATH 531  Mathematical Proof  4 
PHYS 408  General Physics II  4 
Discovery Course  4  
Credits  16  
Third Year  
Fall  
MATH 545 or MATH 645 
Introduction to Linear Algebra or Linear Algebra for Applications 
4 
MATH 644  Statistics for Engineers and Scientists  4 
MATH 753  Introduction to Numerical Methods I  4 
Discovery Course  4  
Credits  16  
Spring  
MATH 757  Mathematical Optimization for Applications  4 
CEPS 700level elective  4  
Discovery Course  4  
Elective  4  
Credits  16  
Fourth Year  
Fall  
MATH 745  Foundations of Applied Mathematics I  4 
Writing Intensive Course  4  
Elective  4  
Elective  4  
Credits  16  
Spring  
MATH 647 or MATH 788 
Complex Analysis for Applications or Complex Analysis 
4 
Capstone:  4  
MATH 797 or MATH 798 or MATH 799 
Senior Seminar or Senior Project or Senior Thesis 

Writing Intensive Course  4  
Elective  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 IAM 550  Introduction to Engineering Computing  
MATH 527  Differential Equations with Linear Algebra ^{1}  4 
MATH 528  Multidimensional Calculus ^{1}  4 
MATH 531  Mathematical Proof  4 
MATH 545  Introduction to Linear Algebra ^{2}  4 
or MATH 645  Linear Algebra for Applications  
MATH 644  Statistics for Engineers and Scientists  4 
MATH 647  Complex Analysis for Applications  4 
or MATH 788  Complex Analysis  
MATH 745  Foundations of Applied Mathematics I  4 
MATH 753  Introduction to Numerical Methods I  4 
MATH 757  Mathematical Optimization for Applications  4 
Capstone: Select one of the following  
MATH 797  Senior Seminar  4 
MATH 798  Senior Project  4 
MATH 799  Senior Thesis  2 or 4 
Select TWO of the following electives  
MATH 746  Foundations of Applied Mathematics II  4 
MATH 747  Introduction to Nonlinear Dynamics and Chaos  4 
MATH 767  OneDimensional Real Analysis  4 
One approved CEPS course at the 700level, selected in consultation with the academic advisor  4  
Other Required Courses  
PHYS 407  General Physics I  4 
PHYS 408  General Physics II  4 
CS 414 & CS 417  From Problems to Algorithms to Programs and From Programs to Computer Science  8 
or CS 415 & CS 416  Introduction to Computer Science I and Introduction to Computer Science II  
Total Credits  9092 
^{1}  The full Linearity sequence, MATH 525 & MATH 526, may be used to replace the MATH 527, MATH 528, and MATH 545 / MATH 645 requirements. 
^{2}  MATH 525 may be used as a replacement for the MATH 545 or MATH 645 requirement. 
 Students recognize common mathematical notations and operations used in mathematics, science and engineering.
 Students can recognize and classify a variety of mathematical models including differential equations, linear and nonlinear systems of algebraic equations, and common probability distributions.
 Students have developed a working knowledge (including notation, terminology, foundational principles of the discipline, and standard mathematical models within the discipline) in at least one discipline outside of mathematics.
 Students are able to extract useful knowledge, both quantitative and qualitative, from mathematical models and can apply that knowledge to the relevant discipline.