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What will I learn?

This programme brings together the areas of econometrics and operations research. Econometrics provides support to economic decisions using quantitative data and techniques from mathematics, statistics and computer science. And Operations Research uses advanced mathematical tools to solve complex problems and optimise processes, such as transport logistics, routing and scheduling.

Organisations today face global competition, economic crises and complex decision-making processes. Therefore, calls are growing ever louder for economists who have the advanced technical training and quantitative skills to solve real problems. This programme gives you a unique profile to respond to these needs in government, finance, consulting and more.

Econometrics

Complex economic and financial issues faced by policy makes, companies and investors require rigorous and advanced data analysis. The econometrics specialisation provides you with the tools to perform such an analysis in a variety of fields. These techniques allow you to determine relationships between economic variables, to quantify the effects of policy interventions, and to predict future developments, as well as to quantify uncertainty surrounding your outcomes. Specifically, you will learn how to:

  • analyse economic and financial data gathered over time
  • conduct analyses for economic datasets collected over a large number of individuals or companies (possibly also over time), such as surveys
  • deal with 'Big Data', where the number of variables may exceed the number of observed data
  • empirically analyse financial markets
  • Graduates of this programme are highly sought-after by industry, banks, insurers and governmental and commercial organisations.

What you’ll actually do:

  • learn statistical techniques for the analysis of economic and financial datasets
  • study the mathematical foundations of econometric techniques
  • critically assess statistical techniques and develop modifications for particular applications
  • implement econometric techniques in statistical software, and apply them to economic and financial data

Your future

There is a huge shortage of econometricians in today’s complex economic environment. Industries, banks, insurance agencies, governmental and commercial organisations are just a few examples of the kinds of organisations that need people like you, people who can:

  • provide thorough analysis of complex data
  • decide on reliable statistical methods to use for every specific problem
  • manage risk and quantify uncertainty
  • make reliable predictions of future trends
  • extract the important relations and implications from a large amount of data

Which department am I in?

School of Business and Economics

Study options

Full Time (1 Year)

Tuition fees
€13,800.00 (11,14,701) per year
Statutory fee for this programme is € 2,083
Start date

Expected September 2022

Venue

Maastricht University

Minderbroedersberg 4-6,

MAASTRICHT,

Limburg,

6211, Netherlands

Entry requirements

For students from United States

Applicants must have eligible for admission if you have a bachelor's degree from a relevant academic field, for example, philosophy or sociology. English language requirements: IELTS (6.5); TOEFL Paper-based test (575); TOEFL Internet test (90); TOEIC listening and reading (720) and speaking and writing (310); Cambridge [Advanced (CAE) Grade C (scale 180-184), First Certificate in English (FCE) Grade A (scale 180-184), First Certificate in English (FCE) Grade B (scale 176-179)].

For international students

Applicants with an international bachelor’s degree

Previous education:

  • providing proof of having obtained a University Bachelor’s Degree in Econometrics; or
  • providing proof, including a transcript of exam subjects and grades, of a University Degree programme in which a majority of
  • credits are gained by courses in Mathematics and Statistics; or
  • providing proof of having obtained a University Bachelor’s Degree in a Business, Economics, Liberal Arts or an Engineering
  • programme and providing proof of a satisfactory GMAT test score or GRE test score.
  • IELTS exam: minimum overall score of 6.5
  • TOEFL exam, paper-based: minimum overall score of 575
  • TOEFL exam, computer-based: minimum overall score of 233
  • TOEFL exam, internet-based: minimum overall score of 90
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