Applied Mathematics Major: Economics Option (B.S.)
https://ceps.unh.edu/mathematics-statistics/program/bs/applied-mathematics-economics-option
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
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.
Code | Title | Credits |
---|---|---|
Required 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 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: | 4 | |
Senior Seminar | ||
Senior Project | ||
Senior Thesis | ||
Total Credits | 44 |
Code | Title | Credits |
---|---|---|
Economics Option Requirements | ||
MATH 739 | Applied Regression Analysis | 4 |
MATH 755 | Probability with Applications | 4 |
ECON 401 | Principles of Economics (Macro) | 4 |
ECON 402 | Principles of Economics (Micro) | 4 |
ECON 605 | Intermediate Microeconomic Analysis | 4 |
ECON 611 | Intermediate Macroeconomic Analysis | 4 |
ECON 726 | Introduction to Econometrics | 4 |
Electives | ||
ONE approved MATH elective at the 700-level, selected in consultation with the academic advisor | 4 | |
ONE approved ECON or DS elective at the 700-level, selected in consultation with the academic advisor | 4 | |
Total Credits | 36 |
First Year | ||
---|---|---|
Fall | Credits | |
MATH 425 | Calculus I | 4 |
ECON 401 | Principles of Economics (Macro) | 4 |
Discovery Course | 4 | |
Inquiry Course | 4 | |
MATH 400 | Freshman Seminar | 1 |
Credits | 17 | |
Spring | ||
MATH 426 | Calculus II | 4 |
MATH 445 or IAM 550 | Mathematics and Applications with MATLAB or Introduction to Engineering Computing | 4 |
ECON 402 | Principles of Economics (Micro) | 4 |
ENGL 401 | First-Year Writing | 4 |
Credits | 16 | |
Second Year | ||
Fall | ||
MATH 528 | Multidimensional Calculus | 4 |
MATH 531 | Mathematical Proof | 4 |
PHYS 407 | General Physics I | 4 |
ECON 605 | Intermediate Microeconomic Analysis | 4 |
Credits | 16 | |
Spring | ||
MATH 527 | Differential Equations with Linear Algebra | 4 |
MATH 539 | Introduction to Statistical Analysis | 4 |
ECON 611 | Intermediate Macroeconomic Analysis | 4 |
Discovery Course | 4 | |
Credits | 16 | |
Third Year | ||
Fall | ||
MATH 645 | Linear Algebra for Applications | 4 |
MATH 739 | Applied Regression Analysis | 4 |
ECON or DS Elective Course | 4 | |
Discovery Course | 4 | |
Credits | 16 | |
Spring | ||
ECON 726 | Introduction to Econometrics | 4 |
700-level MATH Elective Course | 4 | |
Discovery Course | 4 | |
Writing Intensive Course | 4 | |
Credits | 16 | |
Fourth Year | ||
Fall | ||
MATH 753 | Introduction to Numerical Methods I | 4 |
MATH 755 | Probability with Applications | 4 |
Discovery Course | 4 | |
Elective Course | 4 | |
Credits | 16 | |
Spring | ||
MATH 797 | Senior Seminar or Senior Project or Senior Thesis | 4 |
Writing Intensive Course | 4 | |
Elective Course | 4 | |
Elective Course | 4 | |
Credits | 16 | |
Total Credits | 129 |
- 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.