COURSE CURRICULUM

The economics option within the Bachelor of Science in Applied Mathematics at University of New Hampshire is designed to combine advanced mathematical training with a strong understanding of economic theory and data analysis, preparing students for careers in business, finance, or further academic study. Students must earn at least a C- grade in all required courses and maintain a minimum GPA of 2.0, ensuring solid academic performance across both math and economics subjects. The program begins with core applied mathematics courses totaling about 44 credits, including calculus, differential equations, multidimensional calculus, linear algebra, mathematical proof, statistical analysis, and numerical methods, along with a physics course that connects mathematics to real-world systems. These courses build strong analytical and problem-solving skills. The economics option then adds around 36 credits of specialized coursework, focusing on both theoretical and applied economics. Students take foundational courses in macroeconomics and microeconomics to understand how economies operate at both large and individual levels, followed by intermediate-level economic analysis to deepen their knowledge of market behavior and policy impacts. A key component is econometrics, where students learn to apply statistical methods to economic data for forecasting, modeling, and decision-making. Additional mathematics courses such as applied regression analysis and probability strengthen their ability to analyze uncertainty and interpret data. Students also complete advanced electives at the 700 level in both mathematics and economics or data science, allowing them to specialize further based on their interests. The program concludes with a capstone experience, such as a seminar, project, or thesis, where students apply their combined knowledge to real-world or research problems. Overall, this option integrates mathematics and economics to develop strong quantitative and analytical skills, preparing graduates for careers in finance, consulting, analytics, or graduate studies.