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Econometrics and Operations Research: Econometrics and Data Science

Vrije Universiteit Amsterdam
1 year
Full time
Master's degree
Virtual open day
Virtual open day

Program description

Econometrics and Operations Research: Econometrics and Data Science

In our specialization Econometrics and Data Science of the Econometrics and Operations Research master's programme, we welcome you in the fast-developing world of econometrics and data science methods for ultra-high dimensional data sets. In this specialization we cover statistical theory of high-dimensional spaces, the computer science skills of handling big data, the econometric methodology of identifying causal economic relations in a data-rich environment. You further learn the practical skills of analyzing, modelling and forecasting key financial and economic variables, for the purpose of improving policy and decision-making.

The specialization Econometrics and Data Science offers an excellent opportunity for those wishing to enhance their quantitative profile for a career in data science. The program combines different academic disciplines including statistics, econometrics, computer science, economics and business, but it is more than a simple intersection of these. In essence, it is concerned with the theory and practice of transforming large and complex data sets into pieces of information that are potentially beneficial for a wide range of purposes relevant to corporates, economic and government institutions, and financial service companies. This will give you a distinct and strong profile, placing you at pole position for a successful career as a data scientist in professional, business and academic environments.

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Admission requirements

1 April for international degree holders from non-EU/EEA countries (different deadlines may hold for other category students);

1 June for Dutch degree holders and international degree holders from EU/EEA countries

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Program content

Three core 6 EC courses (compulsory):&;

  • Advanced Econometrics&;
  • Multivariate Econometrics&;
  • Time Series Models&;

One specialization course (compulsory)

  • Case Study in Data Science&;

Three sets of elective courses:

Choose 1 out of 3:&;

  • Large Scale Data Engineering
  • Combinatorial Optimization
  • Evolutionary Computing

Choose 1 out of 2:&;

  • Web Data Processing Systems&;
  • Stochastic Gradient Techniques in Optimization and Learning

Choose 1 out of 3:&;

  • Computational Finance&;
  • Big Data Analytics
  • Data Mining Techniques

Tuition fees

  • Tuition fee for EU: € 1,084
  • Tuition fee for NON-EU/EEA: € 15,546

Continuing studies

Typical placements include:

PhD student, Data analyst, Risk analyst, Quantitative Risk analyst, Risk Modeler, Investment analyst, Consultant Data Analytics, Predictive Modeler, Modeling analyst, Systematic Quant, Systematic Trader, Financial Risk analyst, Financial Stability analyst, Capital Market analyst, Statistical researcher, Quantitative financial analyst, Junior Economist, Marketing Data analyst, Quantitative researcher, Quantitative methods instructor, Data scientist, Capital Management consultant, Statistician, Statistical officer, Policy analyst, Customer Intelligence analyst, Quant Fund analyst, Macro Structure analyst, and many more.

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About this institute

Welcome to Vrije Universiteit Amsterdam

Vrije Universiteit Amsterdam (‘VU Amsterdam’) is an internationally renowned research university founded in 1880. The university offers over 175 English-taught programmes at Bachelor’s, Master’s and PhD level to more than 26,000 students from all over the world. Students and staff...

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Why study at Vrije Universiteit Amsterdam

With more than 24,000 students, of which 4,088 are international, VU Amsterdam conducts cutting-edge research into problems of societal and scientific importance.

They distinguish themselves in research and education through four interdisciplinary themes:

  • Human Health and Life Sciences
  • Science for Sustainability
  • Connected World
  • Governance for Society

As a student this will help you to look beyond the boundaries of scientific disciplines, and to seek for tangible solutions for a better world.

In addition, VU Amsterdam regards diversity, whether in culture, conviction, nationality or prior education, as source of innovation and progress, and hence as special strength.

The Dutch higher education system has been ranked in the top 10 by Universitas 21. In the first Times Higher Education University Impact Ranking, VU Amsterdam is ranked 16th worldwide. In this ranking, universities are assessed based on Sustainable Development Goals (SDGs) in order to measure the impact of the universities on society. In the Academic Ranking of World Universities 2018 (Shanghai Ranking) VU Amsterdam holds the 104th position. The international QS World University ranking 2021 places the Vrije Universiteit at number 236 in the world, which means the Vrije Universiteit belongs to the top 20% of the world.

At VU Amsterdam, the teaching style can be described as student-centred: they encourage students to develop their own opinions through independent and creative thinking. This means that teaching is mainly conducted in small tutorials, where interactivity is the norm rather than the exception. At every opportunity, students are encouraged to engage in constructive dialogue with their professors.

Contact info

Vrije Universiteit Amsterdam

De Boelelaan 1105
1081 HV Amsterdam
Netherlands, the

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Want to know more about Econometrics and Operations Research: Econometrics and Data Science? Fill out the following form and we'll pass your details on to a representative from the school, who will respond to your enquiry.


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