Think like an economist by analyzing economic data and policies
Expand your knowledge of economic issues around the world
The UCLA Economics Precollege Summer Institute is a three-week-long program designed to expand your knowledge of critical economic issues affecting the United States and the world. Explore career options while earning college credit and studying at one of the top-ranked economics departments in the world.
Students in this program will learn about issues of economic policy and principles of economic analysis while simultaneously building their data analysis skills and strengthening their ability to think like an economist. Students will complete the program with the necessary foundation to apply these methodologies to understand society’s most pertinent issues.
Fees and Payment Info
The program fee includes the unit fees for the UCLA coursework offered as part of the program and thus varies by UC student status. In addition to the program fee, students are assessed other campus and administrative fees during the summer. This is a summary of fees that commonly apply to the selected student type.
Actual tuition and fees are subject to change by the University of California. Visit the fees, payment, and financial aid section for important disclaimer, as well as more details on fees, payment instructions, and information on delinquency, refunds, and financial aid.
**MANDATORY HOUSING FEE** = $2,340
Students living in on-campus housing will be charged an additional housing fee.
|Document Fee (for first-time Summer Sessions students)||$50|
Meet your instructors
Dr. Randall R. RojasAdjunct Associate Professor
Dr. Randall R. Rojas is an Adjunct Associate Professor of Economics at UCLA. His research interests entail a highly interdisciplinary endeavor that transcends disciplinary barriers. His work in Economics is predominantly in the field of econophysics and financial engineering where he applies principles from physics, statistics, and psychology to the study of financial markets. He is also an active researcher in the field of Cognitive Science where he applies Bayesian methodologies to the modeling of knowledge acquisition by humans (human causal learning).
Dr. Rojas’s current work in Astrophysics (mainly astrostatistics) focuses on developing novel statistical analyses of the large-scale structure (LSS) of the universe to better understand its rich complexity and history. He is also highly committed to his teaching responsibilities and was awarded the ‘My Last Lecture Award’ by UCLA’s Alumni Scholars Club in 2015.