Student working in a financial lab

Illinois Tech’s economics track for high school dual-enrollment courses is designed for students to sequentially build their skills in finance, entrepreneurship, and economics. Students can take the courses below independently or as part of a sequence, but some courses have prerequisites. Check out the course descriptions below for more information about each course.

Stuart School of Business is now offering an academic certificate for high school students who complete a sequence of dual-enrollment courses. In the economics track, students can earn the certificate by completing the following courses (12 credit hours total):

  • ECON 151
  • ECON 152
  • BUS 221
  • ECON 251

Interested in partnering with Illinois Tech to offer this track to your school?

Learn more about our dual-enrollment school partnership.

ECON 151: Microeconomics (Three credits)

This course develops and applies economic models to understand the behavior of firms and consumers in the marketplace. The course explores microeconomic concepts such as demand and supply, market structures and pricing, market efficiency, public goods, externalities, and equilibrium. Combining knowledge from microeconomics and game theory, students will study interactions among firms and consumers given a wide range of market conditions, regulatory regimes, and competitive landscapes.

  • Type: In person or online (synchronous or asynchronous; for asynchronous students, lectures will be recorded and posted to Blackboard weekly)
  • Term: Fall
  • When: Section One (10010): Monday/Wednesday, 3:15–4:30 p.m. with Alan Secor; Section Two: Online (Asynchronous)
  • Requirements: For juniors or seniors in the top 20 percent of the class; no prior coursework necessary

ECON 152: Global Economics (Three credits)

This course exposes students to the economic framework for understanding global macroeconomic events, foreseeing the evolution of macro variables, and applying this knowledge to professional decision-making. Students will use international case studies along with data about global indicators from the international business and economics media to provide different perspectives on monetary, fiscal, and public policy issues in the global marketplace. In addition, the course will explore macroeconomic concepts including inflation, unemployment, trade, gross domestic product, and economic growth and development. Recommended: Prior completion of ECON 151

  • Type: Online (livestream or recorded), in-person, or a combination thereof
  • Term: Fall

BUS 221: Business Statistics (Three credits)

Business decisions are often difficult and risky because decisions have to be made with incomplete and imperfect information. The primary purpose of this course is to introduce the basics of modeling and analyzing complex problems that involve business decision-making under uncertainty. Students will learn probability theory and some basic statistical concepts and procedures. The course emphasizes techniques for formulating decision problems and analyzing data. Students will also learn how to use computer software in decision and statistical analyses. Recommended: Prior completion of MATH 151 (Calculus I) and BUS 100

  • Type: Online (livestream or recorded), in-person, or a combination thereof
  • Term: Fall

ECON 251: Introduction to Econometrics (Three credits)

This course develops the theory and applications of regression analysis, which is the primary tool for empirical work in economics. The majority of the course will be devoted to (i) the derivation of econometric theory results, and (ii) their applications to particular problems in the analysis of economic data. The first few lectures will review the pertinent material from Business Statistics (BUS 221). Students should be comfortable with the basic concepts of probability theory and statistical inference, and, more generally, with mathematical derivations. Topics will cover simple and multivariate linear regression analysis, assessing regression results when using panel and cross-sectional data, instrumental variable regression, running experiments and quasi-experiments, identifying misspecification problems, non-linear regressions, and big data analysis. Prerequisite: BUS 221

  • Type: In person strongly preferred
  • Term: Fall
  • When: Section One (15570): Tuesday/Thursday, 3:15–4:30 p.m. with Ghazale Haddadian
  • Requirements: For juniors or seniors who have a minimum of a 2.5 grade-point average on a 4.0 scale; a knowledge of Excel/Google Sheets and experience with statistics