The Big Data Business Analytics track of the Master’s in Econometrics programme is designed with the help of leading Big Data companies to connect one of the most promising developments in today's business with the econometrics curriculum. Unravel and interpret correlations among the petabytes of complex data generated every day by social media and the internet in general.
Prepare for a career as a Big Data specialist in the economics and business environment; acquire a deep insight into developments that are revolutionising today's economy; become an expert in a new field that taps into the surge of consumer data.
The Amsterdam School of Economics' Master’s in Econometrics provides a balanced and rigorous training in the quantitative analysis of problems in economics and finance. You will become fluent in the application of advanced mathematical and statistical methods, supported by modern software packages such as E-Views and Matlab. The multidisciplinary one-year programme consists of advanced courses in both mathematical economics and econometrics.
The programme in brief
To fully grasp the new phenomenon of Big Data, the Big Data Business Analytics track provides you with the skills, expertise and techniques that are required to apply robust statistical methods, to be used in exploring all topics, research and issues relevant to the discipline. Study the correlations between data flows for predictive purposes and apply game theory to social media and the internet. The multidisciplinary character of the programme is reflected in the wide range of courses you can take, such as: General Equilibrium Theory, Micro-Econometrics, Derivatives and Quantitative Marketing.
Many of the lecturers in the programme are researchers at the in one of the ten research programmes of the FEB. Benefit from a programme that covers both the knowledge and skills required for practitioners and for a career in research – designed in cooperation with leading specialists in Big Data. The ASE’s affiliation with a number of internal and external economics-related research institutes enriches the research and career opportunities for students in the Master’s programme.
The Big Data Business Analytics track of the master Econometrics is a one-year programme of 60 ECTS credits (1 ECTS credit = 0.5 US credits). The academic year runs from September to the middle of July and is divided into two semesters, each with three periods. Refer to the academic calendar for exact dates.
The curriculum for the Master’s in Econometrics is quite demanding, with classes taking up 12-15 hours a week on average. An additional 25 hours are required for class preparation, homework, debates, casework and computer time.
Your Master’s thesis is your graduation piece of work and it will be supervised by one of the researchers in Department of Quantitative Economics. Your thesis must add to the existing body of scientific knowledge to an appropriate extent and it may be written during an internship at a firm.
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Last updated December 22, 2016