Add a competitive edge to your natural aptitude for math by enhancing your BA in Mathematics with a concentration in Applied Mathematics. Applied math puts mathematical concepts to work to solve today’s most complex real-world problems. Earn an applied mathematics degree online from Southern New Hampshire University, and discover a side of mathematics that functions more like an interdisciplinary science – one with broad-reaching applications in the modern world.
“There’s math all over the place in soccer,” Professor Pamela Cohen, SNHU’s math chairwoman, told former MLS player Calen Carr. From the curve (aka parabola) of a kicked ball to the rigidness of playing in triangles on the field, math factors in every aspect of the game.
With SNHU’s applied mathematics degree online, you’ll learn commonly used statistical methods and techniques, delving into mathematical modeling and working with cutting-edge software tools that let you visualize the models you’re constructing and analyzing. You’ll get to specialize in one of three growing areas of interest, including statistical analysis, operations research and dynamical modeling. You’ll also explore the vital role that mathematics plays in scientific research and industry by completing your own research project. Over the course of the program, you’ll:
As a private, nonprofit university, SNHU has one mission – to help you see yourself succeed. The benefits of earning your bachelor’s in mathematics at SNHU include:
According to the U.S. Bureau of Labor Statistics, mathematicians can expect job prospects to grow 23 percent through 2022. With the applied mathematics concentration, you'll be well suited for future work in a number of areas, from biology, epidemiology, organic chemistry and other natural sciences to data analytics, business management science, marketing and even urban planning. Mathematicians are in especially high demand in:
The applied mathematics concentration includes eight core major courses in mathematics, three applied math-specific courses and 33 free electives. The program gives you a solid grounding in applied math, sharpening your analytical and statistical skills along with your ability to construct and defend clear, rigorous and logical mathematical proofs.
This course examines the implications of global location and topography for the people of planet Earth. Students will explore how geography shapes the dynamics of human societies, with an emphasis on the geoenvironmental, geopolitical, and geosocial phenomena that help to define the modern world.
This course is a study of the fundamental principles of correct and incorrect argument, historical forms of deductive logic, and the significance of language and clear verbalization. Offered as needed.
Calculus is the mathematical study of change that has widespread applications in science, engineering, economics and business. This course provides a rigorous introduction to single-variable calculus. Topics include limits, continuity, differentiation and integration of algebraic, trigonometric, exponential, and logarithmic functions, applications of derivatives, and integration, including the Fundamental Theorem of Calculus. This course will encourage students to think beyond memorizing formulas and to work towards understanding concepts. Students may not take both MAT 210 and MAT 225 for credit.
This course is a continuation of MAT 225 that deepens a student's understanding of single-variable calculus. Students will learn new techniques of integration, including substitution, integration by parts, partial fractions, and integration tables. This course will also extend a student's knowledge of addition. That is, students already know how to add two, three, or n numbers together but, in this course they will learn how to add an infinitely many numbers together. This will enable students to represent differentiable functions-including exponential, trigonometric and logarithmic functions-as functions that look like polynomials with infinitely many terms. In doing so, students will enhance their abilities to evaluate and estimate integrals. Finally, students will also learn about parametric curves and polar coordinates-both useful tools for describing the motion of moving objects such as projectiles, planets, or satellites-in order to apply single-variable calculus skills in additional settings. Students may not take both MAT 211 and MAT 275 for credit.
This course introduces students to the language and methods used to create and write mathematical proofs and solve problems. Methods of proof will include: direct, contrapositive, contradiction, and induction. Methods of problem solving will be based on Polya's four steps for problem solving. Students will learn about and utilize the many functions of proof including: verification, explanation, communication, discovery, justification, and inquiry. The course will also explore the relationship between problem solving and the process of proving. Students will explore fundamental abstract concepts in mathematics including: functions and relations, set theory, number theory, and logic.
Many real-world applications of calculus in science, engineering, economics, and business employ functions with many variables. This course extends the basic concepts of single-variable calculus developed in MAT 225 and MAT 275 to functions of several variables. Topics include vectors, the geometry of space, vector-valued functions, motion in space, partial derivatives and multiple integrals.
Differential equations are useful in modeling real-world phenomenon involving rates of change such as the spread of disease, the change in a population, the free fall of an object, and the decay of a radioactive substance. This is a first course in differential equations. Topics include solving first- and higher-order differential equations and modeling with first- and higher-order differential equations.
This is a first course in linear algebra and matrices. Topics include systems of linear equations, linear independence, matrices of linear transformations, matrix algebra, determinants, vector spaces, eigenvalues and eigenvectors. After mastering the basic concepts and skills, students will use their knowledge of linear algebra to model a selection of applied mathematics problems in business, science, computer science and economics.
Algebra is concerned with sets of objects and operations on these sets. This course will take students beyond the real number and polynomials to groups and other algebraic structures. In a modern, or abstract algebra course, one assumes a small number of basic properties as axioms and then proves many other properties from the axioms. This will assist the student in becoming more proficient at proof-writing.
This course provides a theoretical foundation for single-variable calculus concepts. Topics include the structure of the real numbers, sequences, continuity, differentiation and Riemann integration. This course will be run as a seminar that emphasize problem solving, proof writing and orally defending proofs.
This course introduces students to the art of mathematical modeling. Using a scenario-based approach, students will examine model construction, analysis, interpretation, and evaluation in a wide variety of contexts. Graphical, numerical, and symbolic techniques are employed to investigate real world data and phenomena.
In this culminating course, students apply mathematical and/or statistical skills to a particular focus area by completing a research project in applied mathematics. The topic of the project is selected from a list of topics in the applied sciences (economics, engineering, physics, chemistry, biology, epidemiology, pharmacology, physiology, music, or the social sciences) or may be chosen by the student with instructor approval. Application of technology tools is required to model the problem, obtain quantitative results, and complete the project.
Select one of the following:
This is a second course in statistics that builds upon knowledge gained in MAT 240 or an AP statistics course. Students will learn to build statistical models and implement regression analysis in real-world problems from engineering, sociology, psychology, science, and business. Topics include multiple regression models (including first-order, second-order and interaction models with quantitative and qualitative variables), regression pitfalls, and residual analysis. Students will gain experience not only in the mechanics of regression analysis (often by means of a statistical software package) but also in deciding on appropriate models, selecting inferential techniques to answer a particular question, interpreting results, and diagnosing problems.
This course introduces students to deterministic modeling in the field of operations research. Using a scenario-based approach, students will explore linear, integer, and nonlinear programming as applied to classical and contemporary optimization problems.
This course introduces students to dynamical models within the field of science. Linear and nonlinear models and systems are explored through the lens of classical and contemporary science applications. Emphasis is placed on stability, bifurcations, and linearization.
This course trains students to produce documents of a technical nature commonly found in a business context. Students are required to prepare a variety of technical reports, including audits, technical manuals and feasibility studies.
This course introduces students to the basic skills and principles of writing creative nonfiction and magazine feature articles. Student-centered workshop critiques and frequent conferences with the instructor are the primary methods used in the course. The course includes significant reading assignments in nonfiction genres.
Free Elective Credits: 33
Total Credits: 120
Tuition rates for SNHU's online degree programs are among the lowest in the nation. We offer financial aid packages to those who qualify, plus a 30 percent tuition discount for active-duty service members and their spouses.
*Tuition Rates are subject to change and are reviewed Annually.
No Application Fee, $150 Graduation Fee, Course Materials ($ varies by course)
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