AustriaUniversities Shortlist

Master in Quantitative Finance

WU Vienna University of Economics and Business · Vienna

Taught in EnglishNo tuition for EU/EEA/SwissFinanceDegree: Master of Science, MSc
Language of instructionEnglish
LevelMaster's Degree
Duration2 years (4 semesters)
Study load120 ECTS
LocationVienna
Entrance examinationAdmission procedure
Fee, non-EU/EEA/SwissEUR 1,453 a year
Fee, EU/EEA/SwissNo tuition within the standard duration plus two semesters

How the fees work. EU/EEA and Swiss students pay no tuition within the standard duration plus two semesters, then EUR 363.36 per semester. Most other students pay EUR 726.72 per semester (about EUR 1,453 a year); nationals of a list of least developed countries are exempt. The compulsory student union fee (ÖH-Beitrag) is EUR 26.20 per semester.

About this programme

Master in Quantitative Finance is a master’s programme at WU Vienna University of Economics and Business in Vienna, taught in English. It runs for 2 years (4 semesters) and carries 120 ECTS credits. The register gives Vienna as the campus town. It lists the academic degree as Master of Science, MSc. WU Vienna University of Economics and Business is a public university in Vienna.

How it compares

Master in Quantitative Finance is one of 8 English-taught Finance programmes at master’s level in the register, offered by 7 institutions. 7 of them list an annual fee for students from outside the EU, EEA and Switzerland, from EUR 727 to EUR 1,453; this programme lists EUR 1,453 a year. 4 are at a public university, where EU, EEA and Swiss students pay no tuition within the standard duration plus two semesters.

What you will study

The Master's in Quantitative Finance at WU Vienna is a full-time, English-taught programme for people who want to work as quants. It runs over four semesters and carries 120 ECTS. The degree awarded is a Master of Science, MSc (WU).

What you study

The first year builds the technical base. You take Mathematics, Microeconomics and Computing in the first half of the first semester. In the second half you move on to Probability, Principles of Finance and Statistics 1. The second semester adds Corporate Finance, Financial Markets and Instruments and Statistics 2. Later in the first year you take Asset/Risk Management I, Mathematical Finance and Econometrics, followed by Statistical and Machine Learning and Asset/Risk Management II.

You get extensive training in the programming language R, taught by one of its main developers. The programme focuses on applications in asset management, financial risk management and advanced statistical data analysis.

How the programme is organised

In the second year you pick one of two specialisations. The Science Track prepares you for an academic career and includes Paper Reading and Writing and Research Seminar I and II (Finance or StatMath), plus five electives. The Industry Track trains you for a career as a quant and includes an Industry Lab plus five electives. Both tracks combine financial models with computational skills and apply them in real-world settings with corporate partners.

The final part of the programme is a Master Thesis Seminar and the Master Thesis. The programme starts in October.

Who it suits

This is for students who like solving complex quantitative problems and want a career in finance. You should be comfortable working in intercultural teams and thinking outside the box. The student body is highly international, with 81% of students coming from abroad. The programme is taught entirely in English.

Admission, language and next steps

You need a relevant prior degree and examinations in economics, business administration or finance, or in mathematics, statistics or computing. You also need sufficient proficiency in English and proof of aptitude. Applications go directly to WU, not through a central portal. The programme page lists three deadlines for the winter semester 2027/28: 8 October 2026, 8 January 2027 and 8 March 2027.

As a public university, WU charges no tuition to EU/EEA and Swiss students within the standard duration plus two semesters. Other students pay a fee per semester. The programme page links to the detailed application guide and tuition information.

What the register says

In the master’s degree programme in Quantitative Finance the students will acquire in-depth knowledge and skills in financial economics, microeconomics, mathematics, statistics, and computing. The students will also receive extensive training in the “R” programming language. The programme focuses particularly on applications in asset management, financial risk management and advanced statistical data analysis. Graduates will have a comprehensive qualification in finance, which they can combine with in-depth specialised knowledge in quantitative capital market-oriented models and methods as well as relevant calculation methods. They will be able to work independently on problems, and to interpret and critically evaluate the results of their analyses taking theories into account.

Text as the Austrian national register publishes it. Some entries are in German. For the current content and structure, use the official programme page.

Job opportunities after graduating

  • Asset management
  • Credit and market risk management
  • Treasury and trading
  • Financial engineering
  • Corporate finance
  • Research and technical analysis

Before you apply

There is no central application portal in Austria: you apply to the institution, here WU Vienna University of Economics and Business. A public university sets the admission requirements and dates for this level, so read them on the programme page. Entrance examination, as the register states it: Admission procedure. Entry requirements and language tests are set by the institution, so start from the official programme page. Our guides cover tuition fees, the student residence permit and housing.

Facts on this page come from the Austrian national register (BMFWF open data and studienwahl.at, which states the language of instruction). Fees are in euros as the register lists them. "Not listed" means the register has no figure, not that the programme is free. Always confirm requirements, fees and dates with the institution.

Quick answers

Is Master in Quantitative Finance taught in English?

Yes. The register’s study finder lists English as the language of instruction at WU Vienna University of Economics and Business. Confirm the language of the examinations and the thesis with the institution.

How long does it take?

The register records 2 years (4 semesters) of study and 120 ECTS credits. Sixty ECTS credits are one academic year of full-time study.

Where is it taught?

The register lists Vienna as the campus town for this programme at WU Vienna University of Economics and Business.

How do I apply?

There is no central application portal in Austria: you apply to the institution, here WU Vienna University of Economics and Business. A public university sets the admission requirements and dates for this level, so read them on the programme page.

Is there an entrance examination?

The register gives: Admission procedure. Details of any admission or aptitude procedure are on the programme page at WU Vienna University of Economics and Business.

What does it cost?

EU/EEA and Swiss students pay no tuition within the standard duration plus two semesters, then EUR 363.36 per semester. Most other students pay EUR 726.72 per semester (about EUR 1,453 a year); nationals of a list of least developed countries are exempt. The compulsory student union fee (ÖH-Beitrag) is EUR 26.20 per semester. Fees are in euros as the register lists them; confirm the amount for your intake with WU Vienna University of Economics and Business.

Is this programme officially listed?

It comes from the Austrian national register (BMFWF open data and studienwahl.at, which states the language of instruction). The OeAD, the Austrian agency for international education, publishes the official information for international students at studyinaustria.at. The programme page at WU Vienna University of Economics and Business is linked from this page so you can compare.

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