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The interdisciplinary program equips students with a versatile skill set spanning economics, computing, and data science - competencies highly sought after in both corporate and academic settings. Economics and computer science share significant common ground, particularly in their application of game theory, mathematical modeling approaches, and data analysis methods. The economics curriculum covers foundational microeconomic principles and econometrics, along with specialized courses demonstrating how economists employ models and statistical analysis across diverse fields. Complementing this, the computer science component focuses on algorithmic concepts, optimization techniques, and machine learning - the latter becoming increasingly intertwined with econometric methods. Additionally, the program incorporates essential mathematical coursework in areas like linear algebra, probability theory, discrete mathematics, and statistical analysis, offered through multiple academic departments.
The first-year application is intended for students who have concluded their secondary education and wish to pursue a bachelor’s degree as a full-time university student.
For the TOEFL Internet Based Test (iBT), the minimum composite score is a 90. We recommend scores of at least 23 for each section, and a composite score of at least 100. Similarly, for the TOEFL revised Paper-Delivered Test (rPDT), we recommend scores of at least 23 for each section. If you have taken the TOEFL Paper Based Test (PBT) prior to June 2017, the minimum composite score is a 577, with a recommended composite score of at least 600.