M.S. Economics Prerequisites

M.S. Economics Prerequisites

Prerequisites for an M.S. Economics Degree

All applicants to CCU's online M.S. Economics program are required to have fulfilled prerequisite courses in Economics and Mathematics.

Applicants must have demonstrated completion (C or better) of the following undergraduate-level prerequisite courses, taken at CCU or through transfer equivalency, before starting the M.S. Economics program. Students may also satisfy these prerequisites with confirmed core competencies verified by passing scores on content exams.

Economics Foundation Core Prerequisites

Principles of Microeconomics (EC0 305A)

This foundational course in Microeconomic Theory explores the market system as the basis for capitalism. Specific topics include the interaction of supply and demand, market equilibrium, cost analysis, labor markets, and the theories of production and distribution. The role of consumers and businesses in our dynamic economy is the context for this course.

Principles of Macroeconomics (ECO 306A)

This foundational course in macroeconomic theory explores the role of the government in the stabilization of the macroeconomy. Specific topics include unemployment, inflation, economic growth, gross domestic product, national income accounts, the business cycle, and the Federal Reserve system. Special focus is on monetary and fiscal policy strategy to stabilize our national economy.

Mathematics Foundation Core Prerequisites

Introduction to Research and Applied Statistics (MAT 250A)

This introductory course introduces students to the fundamental concepts of statistics and provides skills that can be applied as students use evidence based research in various disciplines. Students will compute statistical formulas using Excel. Students will learn how to use statistics to analyze and draw conclusions regarding research data. Topics include research and statistics related to descriptive and inferential statistics.

Calculus III (MAT 341A)

Multi-dimensional calculus, study of functions of several variables, partial derivatives, and optimization problems in multi-dimensional spaces. Vectors, vector-valued functions, parametric curves and three dimensional surfaces.

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