Applied Mathematics Major: Economics Option (B.S.)

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.

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 Courses
MATH 425Calculus I4
MATH 426Calculus II4
MATH 445Mathematics and Applications with MATLAB4
or IAM 550 Introduction to Engineering Computing
MATH 527Differential Equations with Linear Algebra 14
MATH 528Multidimensional Calculus 14
MATH 531Mathematical Proof4
MATH 644Statistics for Engineers and Scientists 24
MATH 645Linear Algebra for Applications 14
MATH 753Introduction to Numerical Methods I4
PHYS 407General Physics I4
Select one of the following:4
Senior Seminar
Senior Project
Senior Thesis
Total Credits44
Economics Option Requirements
MATH 739Applied Regression Analysis4
MATH 755Probability with Applications4
ECON 401Principles of Economics (Macro)4
ECON 402Principles of Economics (Micro)4
ECON 605Intermediate Microeconomic Analysis4
ECON 611Intermediate Macroeconomic Analysis4
ECON 726Introduction to Econometrics4
ONE approved MATH elective at the 700-level, selected in consultation with the academic advisor4
ONE approved ECON or DS elective at the 700-level, selected in consultation with the academic advisor4
Total Credits36

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.


Applied Mathematics: Economics Option students must take MATH 539 Introduction to Statistical Analysis.

Plan of Study Grid
First Year
MATH 425 Calculus I 4
ECON 401 Principles of Economics (Macro) 4
Discovery Course 4
Inquiry Course 4
MATH 400 Freshman Seminar 1
MATH 426 Calculus II 4
MATH 445
Mathematics and Applications with MATLAB
or Introduction to Engineering Computing
ECON 402 Principles of Economics (Micro) 4
ENGL 401 First-Year Writing 4
Second Year
MATH 528 Multidimensional Calculus 4
MATH 531 Mathematical Proof 4
PHYS 407 General Physics I 4
ECON 605 Intermediate Microeconomic Analysis 4
MATH 527 Differential Equations with Linear Algebra 4
MATH 539 Introduction to Statistical Analysis 4
ECON 611 Intermediate Macroeconomic Analysis 4
Discovery Course 4
Third Year
MATH 645 Linear Algebra for Applications 4
MATH 739 Applied Regression Analysis 4
ECON or DS Elective Course 4
Discovery Course 4
ECON 726 Introduction to Econometrics 4
700-level MATH Elective Course 4
Discovery Course 4
Writing Intensive Course 4
Fourth Year
MATH 753 Introduction to Numerical Methods I 4
MATH 755 Probability with Applications 4
Discovery Course 4
Elective Course 4
MATH 797
Senior Seminar
or Senior Project
or Senior Thesis
Writing Intensive Course 4
Elective Course 4
Elective Course 4
 Total Credits129
  • 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.