Founded in 1934, USP is Brazil's largest and most prestigious public research university. Located primarily in São Paulo with multiple campuses across the state, it is Latin America's top university, combining academic excellence with comprehensive research across all contemporary areas of knowledge.
82374
total students
3000
international students
11
campuses
ministry education brazil
times higher
latin america
USP provides extensive career development through research opportunities and strong industry connections. The university maintains partnerships with leading organizations worldwide, facilitating student success across various professional fields.
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Expert in Biological Sciences and Evolutionary Studies
Expert in Biological Sciences and Evolutionary Studies
Distinguished Professor of Decision Sciences and Quantitative Methods
Alexandre Leonetti is a Professor at the School of Economics, Administration and Accounting of Ribeirão Preto, University of São Paulo. He holds dual bachelor's degrees in Business Administration from Universidade Paulista (2000) and Mathematics Applied to Business from Universidade de São Paulo (2008), followed by a Master's in Organizational Administration (2009) and a PhD in Sciences (2012) from Universidade de São Paulo, which included a six-month international research internship at the University of Oxford. His expertise spans quantitative methods for decision-making, including multivariate data analysis, non-parametric statistics, game theory, multicriteria decision analysis, social choice theory, and sustainability indicators. As a researcher at the Decision Sciences Research Group (INTEGRA), he focuses on developing and applying mathematical models to support complex organizational decision-making processes.