Objectives and interest of the MasterThe consulting firm Gardner Group estimates the demand for data scientist at 4.5 million in 2015. In this framework, the demand for training in massive data analysis, the extraction, treatment and analysis of information from the web and social networks and the The possibility of simulating behaviors based on more or less complex modeling - programming and computing - have opened a new scenario for basic and applied research in the field of Economics, Business Administration, Commercial Research and Finance, by that this program gives an answer.
This Master offers you the most current training in Economics and Big Data: data extraction, storage and analysis (data mining and predictive models), quantitative economic analysis –basic and applied– quantitative finance, business research with Big Data, or the use of information from organizations.
This is an official postgraduate offer, which has both a professional orientation and a research orientation.
Who is the Master aimed at?Graduates in Economics, Business, Finance or Marketing with an interest in quantitative methods
Graduates in Engineering, Mathematics, Statistics, Computer Science and Physics
Professionals in programming, economics and business
PhD studentsCurriculumThe student must take a total of 60 ECTS to obtain the title, on the subjects chosen in the following academic structure:Teacher trainingModule 1: Fundamentals of computer programming.Programming I.
Information storage systems.Module 2: Foundations of Mathematics.Fundamentals of mathematics.Module 3: Predictive Models and Data Mining I.Predictive models I.
Data mining I.Module 4: Applied Mathematics.Optimization techniques.
Game theory and experimental economics.Module 5: Fundamentals of FinanceInstruments and derivatives.
International finances.Module 6: Fundamentals of economic analysis.Microeconomic analysis I.
Macroeconomic analysis I.Module 7: Fundamentals of business administration and marketing.Management fundamentals.
Fundamentals of Marketing.Module 8: Programming.Programming II.
Massive data processing systems.
Machine learning techniques.
Optimal estimation and control techniques.Module 9: Predictive models and data mining II.Predictive models II.
Data mining II.Module 10: Finance.Risk management and insurance.
Quantitative finance.Module 11: Economic analysis.Microeconomic analysis II.
Macroeconomic analysis II.Module 12: Business Administration.Management of logistics operations.
Strategic direction and visual tools for decision making.Final Master's ProjectWith a suitable selection of the electivity, the student will obtain one of the following specialties:Quantitative Finance Specialist. Take the modules “Fundamentals of Finance” and “Finance”.
Marketing and Big Data Specialist. Take the modules of "Fundamentals of administration and marketing and" Marketing "
Business Analytics Specialist: take the modules "Fundamentals of Business Administration and Marketing" and "Business Administration".
Computational Economics Specialist. Take the modules “Fundamentals of Finance” and “Finance”.Faculty profileThe program has a teaching staff of the highest excellence, both in terms of their research and teaching capacity, with specialists from 13 universities and institutions. As a sign of the excellence of the teaching team - where some of the most prominent international researchers in the field of Computational Economics, Quantitative Finance and Big Data are found - the following can be highlighted:have published more than 200 JCR indexed articles in recent years:
They have directed more than 30 theses in the last 5 years.
They have a dozen research projects financed in competitive calls.MethodologyFace-to-face classes. Teaching management through Moodle platform. Laboratory practices. Continuous assessment. Tutorial Action Plan. International mobility. Research period / practical work (12 credits). Tutorized.