Master's Degree in Economics and Finance: Finance Program
Master
En Barcelona
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Descripción
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Tipología
Master
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Lugar
Barcelona
The increasing complexity of financial markets demands greater modeling techniques and a deeper understanding of financial data. The Finance Program of the Master's in Economics and Finance at the Barcelona GSE is designed to prepare you for these challenges.
The Barcelona GSE Finance Program builds on the School's outstanding faculty in finance, economics, econometrics and data science. The program is aimed at students that seek an interdisciplinary approach that combines finance and economics. The program is designed to give students the strong modeling techniques, econometric tools, and advanced coding skills needed for the top jobs in banking, consulting and fintech.
The program is built around three pillars:
Concepts: acquire an in-depth understanding of the theory of Finance and Economics
Modeling: learn how to construct and implement financial models
Data analysis: apply Econometrics, Statistics and Data Science techniques to analyse complex financial data
Our graduates excel in the ability to design and implement complex financial and economics models; they have a strong understanding of the theory; and can apply their programming skills (R, Matlab, Stata and (optional) Python) to the analysis of large datasets.
Thanks to their ability to analyze and model data intensive problems, and to communicate results effectively, our graduates are in high demand from a wide range of industries, including consulting, banking, risk management and derivatives trading, portfolio and investment management, fintech, and central banks.
Most of our students have a background in economics or in a quantitative subject. Proof will be required showing an undergraduate degree with a substantial number of quantitative subjects, or GRE to demonstrate quantitative ability (however, the GRE is not mandatory for this program).
Instalaciones y fechas
Ubicación
Inicio
Inicio
Opiniones
Temario
Mandatory:
Asset Pricing 6 Javier Gil-Bazo
Corporate Finance 6 Filippo Ippolito
Econometrics 6 Javier Gómez Biscarri
Electives:
Foundations of Data Science 3 Omiros Papaspiliopoulos
Course Title Credits Professor(s)
Electives - Select up to 18 Credits:
Financial Econometrics 6 Christian Brownlees
Pricing Financial Derivatives I 3 Eulàlia Nualart
Pricing Financial Derivatives II 3 Eulàlia Nualart
Market Liquidity and High-Frequency Trading 3 Roberto Pascual
Systemic Risk and Financial Crises 3 José-Luis Peydró
Exchange Rates and Monetary Policy 3 Fernando Broner
Advanced Firm Valuation 3 Albert Banal
Course Title Credits Professor(s)
Mandatory:
Master Project 6 Filippo Ippolito
Electives - Select up to 18 Credits:
Mergers and Acquisitions 3 Albert Banal
Derivatives and Risk Management 3 Manuel Moreno
Topics in Finance: Empirical Corporate Finance 3 Javier Gómez Biscarri
Sovereign Debt and International Financial Markets 3 Fernando Broner
Investment and Portfolio Management 3 Javier Gil-Bazo
Advanced Option Pricing and Modelling 3 Elisa Alòs
Blockchain: From First Principles to Analytics 3 Veronica Torras
Gaston Besanson
Macro‐Finance 3 Dmitry Kuvshinov
Machine Learning for Finance* 3 Argimiro Arratia
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Master's Degree in Economics and Finance: Finance Program