
Adam Boucher
SENIOR LECTURER 
John McClain III
Senior Lecturer 
Kevin Short
PROFESSOR
Applied Mathematics: Computation Option (B.S.)
Applied Mathematics: Computation Option (B.S.)
What is the computation option in applied mathematics?
This option in the applied mathematics degree program combines a foundation in the mathematics with coursework in computer science, computation, and data structures, including highperformance computing. 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?
This program allows you to choose a specific interest and pursue it alongside accomplished mathematicians, statisticians and educators who have won prestigious honors including a Grammy Award and a MacArthur “genius” grant. 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
 Computational scientist
 Financial services/actuary
 Mathematician/statistician (government/research/academia)
 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 program prepares students for employment and/or graduate study in a variety of fields and research specializations in which mathematics plays a critical role in the solution of important scientific and technological problems.
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 415  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 
MATH 445  Mathematics and Applications with MATLAB  4 
CS 416  Introduction to Computer Science II  4 
ENGL 401  FirstYear Writing  4 
Credits  16  
Second Year  
Fall  
MATH 528  Multidimensional Calculus  4 
MATH 531  Mathematical Proof  4 
PHYS 407  General Physics I  4 
CS 515  Data Structures and Introduction to Algorithms  4 
Credits  16  
Spring  
MATH 527  Differential Equations with Linear Algebra  4 
MATH 539  Introduction to Statistical Analysis  4 
PHYS 408  General Physics II  4 
CS 659  Introduction to the Theory of Computation  4 
Credits  16  
Third Year  
Fall  
MATH 647  Complex Analysis for Applications  4 
MATH 753  Introduction to Numerical Methods I  4 
Discovery Course  4  
CS 758  Algorithms  4 
Credits  16  
Spring  
MATH 645  Linear Algebra for Applications  4 
Discovery Course  4  
Discovery Course  4  
IAM 751  Introduction to HighPerformance Computing  4 
Credits  16  
Fourth Year  
Fall  
MATH 745  Foundations of Applied Mathematics I  4 
Discovery Course  4  
Writing Intensive Course  4  
Elective Course  4  
Credits  16  
Spring  
Capstone:  4  
MATH 797 or MATH 798 or MATH 799 
Senior Seminar or Senior Project or Senior Thesis 

Discovery Course  4  
Writing Intensive Course  4  
Elective Course  4  
Credits  16  
Total Credits  129 
Major Requirements
Code  Title  Credits 

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 644  Statistics for Engineers and Scientists ^{2}  4 
MATH 645  Linear Algebra for Applications ^{1}  4 
MATH 753  Introduction to Numerical Methods I  4 
PHYS 407  General Physics I  4 
Capstone: Select one of the following  
MATH 797  Senior Seminar  4 
MATH 798  Senior Project  4 
MATH 799  Senior Thesis  2 or 4 
Total Credits  5052 
^{1}  MATH 525 Linearity I may be substituted for MATH 645. MATH 525 & MATH 526, Linearity, may be substituted for MATH 527, MATH 528, and MATH 645. 
^{2}  Applied Mathematics: Economics Option students take MATH 539 Introduction to Statistical Analysis. 
Computation Option Requirements
Code  Title  Credits 

PHYS 408  General Physics II  4 
MATH 647  Complex Analysis for Applications  4 
MATH 745  Foundations of Applied Mathematics I  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  
CS 515  Data Structures and Introduction to Algorithms  4 
CS 659  Introduction to the Theory of Computation  4 
CS 758  Algorithms  4 
IAM 751  Introduction to HighPerformance Computing  4 
Total Credits  36 
 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.