The Economics and Math program at Southern New Hampshire University will provide you with the expertise you need to get ahead, and the practical applications and real-world experience to set yourself apart.
In this program, you will gain a solid foundation in the theoretical areas of international and domestic finance, business, economics, and math, as well as their practical applications. You’ll interact with other students who share your interests and career goals through campus organizations like the Economics and Finance Association and the Future Business Leaders of America. And, of course, you’ll have plenty of experiential learning opportunities through workshops, internships, and more.
At SNHU, you won't just learn skills. You'll learn their practical application. You'll be well prepared to combine the valuable knowledge you gain inside the classroom with the experience you gain outside of it and apply both to your future career.
In the Economics and Math program, you'll learn to build economic models and use applied math to project future economic developments, ensuring that you won't just have a grasp on today's economy, but a window into tomorrow's. The experienced faculty in this program are experts in their fields, and will impart their years of earned knowledge to you in exercises both inside and outside the classroom while giving you opportunities to collaborate with other students who share your interests and career goals.
As a private, nonprofit university, SNHU has one mission - to help you see yourself succeed. The benefits of majoring in Economics and Math at SNHU include:
SNHU Economics and Math graduates are well prepared to launch careers in a wide variety of fields, including:
Economics and Math is a field that is more than the sum of its parts. You’ll come away with an enhanced knowledge of mathematics and an enhanced understanding of economics, with the skills and experience necessary to put them both to use in the workplace.
Students in the Economics and Math program will build a solid knowledge base in both mathematics and economics through basic courses in both subjects.
Free elective Credits: 15
This course applies economic theory and quantitative techniques to solving business decision problems. The principal economic framework is that of microeconomics and covers such topics as demand, production, cost and market structures. Regression and linear programming are the main quantitative tools developed in the course. Computer applications are a required part of the course.
This course covers three broad areas. The first is the banking industry's regulations and internal operations. The second area focuses on the banking industry's role in the national economy, including monetary policy and its macroeconomic effect on prices, employment and growth. International banking is the third area covered and includes an overview of institutional arrangements and the effects of international banking on the world economy. Writing intensive course.
This course develops models of short-to-medium-run fluctuations in overall economic activity as well as long-run models of economic growth of a nation. The former category of models includes the Keynesian, New Classical, and New Keynesian frameworks. Particular emphasis will be placed on the New Keynesian model. Empirical testing of the models using computer software will involve the statistical analysis of macroeconomic data. The primary econometric tools for analyzing this data will be regression and its extensions and modern time series analysis. Long-run models of economic growth including the Solow model and the Romer model will also be examined.
Discrete mathematics is the study of mathematical structures that are fundamentally discrete rather than continuous. That is, in contrast to the real numbers that vary continuously, the objects of study in discrete mathematics take on distinct, separated values. Topics include operations on sets, logic, truth tables, counting, relations and digraphs, functions, trees and graph theory. A significant goal of this course is to improve students' critical-thinking and problem-solving skills.
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.
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 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.
We believe that college should change your life, not break the bank. That's why more than 90 percent of our students receive some form of financial aid, and students who qualify could receive up to $20,000 in grants and scholarships.
Southern New Hampshire University is a private, nonprofit institution accredited by the New England Association of Schools and Colleges as well as several other accrediting bodies. More...