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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.

Mathematical Economics

Mathematical methods can be used to solve a whole range of business problems, from a company’s finances to the organisation of its people. In order to do this strategically, the Mathematical Economics track looks at theories and models that can help you make the right decisions. With a unique blend of theory and practice, you will become indispensable in making decisions about the internal and external organisation of a company and its finances.

What you’ll actually do:

  • apply theoretical models to solve business problems
  • make informed decisions on resources, finances and organisational structure
  • learn to analyse problems quickly and assess them accurately

Your future

Do you want to become a leading financial analyst or a top manager? A qualification in Mathematical Economics gives you the potential to do just that. The skills you will acquire include the ability to analyse problems quickly and assess them accurately. These skills are hugely valued in any industry, and will give you the potential to become one of the managers of the future. You can also go on to a do a PhD, either to obtain further qualifications for professional practice or to embark on an academic career.

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 a BSc or an equivalent diploma in a related field to Data Science and Knowledge Engineering. Related fields are: Mathematics, Computer Science or Artificial Intelligence.English language requirements: IELTS test: minimum score 6.5; TOEFL test: internet-based minimum score 90; TOEFL test: paper-based minimum score 575; 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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