Professional Masters Program

Research Fields

  • Data Sciences Applied to Economics

Data Sciences Applied to Economics is the new research field of the Professional Master in Economics and Finance (MFEE) of the EPGE Brazilian School of Economics and Finance (FGV EPGE).

It's objective is to prepare students to use frontier techniques in Data Sciences to solve economic problems.

The creation of this new research field is motivated by the growing demand for professionals with a background in economics who are able to apply advanced techniques for decision making in data-driven business.

The Data Science research field will be made available through modules specially adapted for each subject of the basic cycle (Mathematics, Statistics, Macroeconomics, Microeconomics and Econometrics) in addition to the mandatory subjects of the specialization: Programming, Computing and Data Engineering, and Machine Learning. Among other topics, in these disciplines, frontier themes such as new financial disintermediation structures, blockchain, and cloud computing will be addressed. The research field includes Data Science modules applied to Infrastructure disciplines - energy, sanitation and transport.

The program is designed so that the egressed professional is able to implement frontier techniques in Machine Learning and other Data Science tools, as well as lead specialized teams. The course will be permeated by practical cases in the areas of economics, such as banking, finance, infrastructure, retail, and insurance. Among the potential employers for graduates of the course are, in addition to technology companies (fintechs, insuretechs and e-commerce companies), traditional institutions in the process of digital transformation.

Other Research fields

  • Finance:
    This specialization area aims at training professionals for the financial market and companies’ financial area.
  • Business Economics:
    Focused on micro-economic aspects, in the ambit of the theory of the firm and contracts, this line also analyzes macro-economic aspects with relevant impacts on companies.
  • Public Policies’ Regulation and Evaluation:
    This research field aims at training public sector professionals with solid knowledge on Regulation Economics and Design Economics and Assessment of Public Policies. The program’s target audience consists of professionals working in public administration, in regulated sectors, and those in charge of formulating and/or implanting public policies.
  • Economics of Infrastructure:
    This innovative program is based on the platform of the traditional Professional Master's in Economics and Finance at the EPGE Brazilian School of Economics and Finance (FGV EPGE).

    Investment attraction and maintenance of an appropriate provision of services in infrastructure are among the top challenges to retake a sustained growth path in Brazil. In this context, themes like regulation, long-term financing and risk allocation are important vectors to achieve these objectives. To develop solid and advanced economic knowledge is essential to produce efficient solutions and generate value in Energy, Transport, Logistics and Sanitation industries.

    Strongly impacted by technological innovations and climate policies, these industries face today, in global ambit, transformations that affect their business models. In the electricity sector and urban mobility, digitalization and electrification produce new ways for agents to extract value from activities. These new formats demand new regulatory arrangements, market designs, pricing mechanisms and monitoring of service quality for end consumers. In this context, for an appropriate comprehension of the new reality of these industries, it´s essential to understand the digitalization’s impacts, the use of big data and more active participation of consumers.

    Thus, aiming at preparing the student to understand the challenges – current and future – faced by infrastructure industries, this research line offers a multidisciplinary view, and discussion of practices adopted internationally.