Applied Mathematics Major (B.S.)
https://ceps.unh.edu/mathematics-statistics/program/bs/applied-mathematics
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.
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.
| 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 545 | Introduction to Linear Algebra 2 | 4 |
| or MATH 645 | Linear Algebra for Applications | |
| MATH 644 | Statistics for Engineers and Scientists | 4 |
| MATH 745 | Foundations of Applied Mathematics I | 4 |
| MATH 753 | Introduction to Numerical Methods I | 4 |
| MATH 757 | Mathematical Optimization for Applications | 4 |
| PHYS 407 | General Physics I | 4 |
| PHYS 408 | General Physics II | 4 |
| CS 415 & CS 416 | Introduction to Computer Science I and Introduction to Computer Science II | 8 |
| Capstone | ||
| Select one course from the following: | 4 | |
| Senior Seminar | ||
| Senior Project | ||
| Senior Thesis | ||
| Electives | ||
| Select one (1) approved 700-level CEPS course in consultation with academic advisor | 4 | |
| Select three courses from the following: | 12 | |
| Complex Analysis for Applications | ||
or MATH 788 | Complex Analysis | |
| Statistical Computing | ||
| Data Mining and Predictive Analytics | ||
or CS 750 | Machine Learning | |
| Applied Regression Analysis | ||
| Introduction to Nonlinear Dynamics and Chaos | ||
| Probability with Applications | ||
| One-Dimensional Real Analysis | ||
| Combinatorics | ||
| Total Credits | 80 | |
Sample Degree Plan
This sample degree plan serves as a general guide; students collaborate with their academic advisor to develop a personalized degree plan to meet their academic goals and program requirements.
| 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 or IAM 550 | Mathematics and Applications with MATLAB or Introduction to Engineering Computing | 4 |
| CS 416 | Introduction to Computer Science II | 4 |
| ENGL 401 | First-Year Writing | 4 |
| Credits | 16 | |
| Second Year | ||
| Fall | ||
| MATH 527 | Differential Equations with Linear Algebra | 4 |
| PHYS 407 | General Physics I | 4 |
| Discovery Course | 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 700-level 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 797 | Senior Seminar or Senior Project or Senior Thesis | 4 |
| Writing Intensive Course | 4 | |
| Elective | 4 | |
| Free Elective | 4 | |
| Credits | 16 | |
| Total Credits | 129 | |
Program Learning Outcomes
- 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.