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Title: Master program Statistics
Category: graduate
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Source URL: https://www.tuwien.at/en/studies/studies/master-programmes/technical-mathematics...
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Master program Statistics

Source: https://www.tuwien.at/en/studies/studies/master-programmes/technical-mathematics/statistics-probability-mathematics-in-economics Parent: https://www.tuwien.at/en/studies/studies/master-programmes/technical-mathematics

Master program Statistics - Probability - Mathematics in Economics

Study number : UE 066 395 - Master program Statistics – Probability – Mathematics in Economics

Study duration : 4 semester

Extent : 120 ECTS

Language : English

Degree : Diplom-Ingenieur_in (Dipl.-Ing.)\ International comparable to Master of Science (MSc)

Curriculum : Lectures SPME

[Curriculum SPME (in German)](https://www.tuwien.at/fileadmin/Assets/dienstleister/studienabteilung/MSc-Studienplaene_2025/Masterstudium_Statistics_-_Probability_-_Mathematics_in_Economics_2025.pdf)

Why Statistics – Probability – Mathematics in Economics?

The master program in Statistics, Probability and Mathematics in Economics equips students with the skills to analyze and solve a wide range of statistical and economic problems. Our program provides rigorous, state-of-the-art knowledge in quantitative methods for statistical and economic analysis.

Graduates are excellently prepared for careers in research, policy analysis, and the public as well as private sector. They work in central banks, government agencies, (inter-)national institutions, consulting, finance, energy, industry, and data-driven startups (e.g. Tech, FinTech, HealthTech or E-Commerce) among others. Some also pursue a PhD at top universities abroad.

The combination of mathematical and economic expertise makes our graduates highly sought-after professionals in an increasingly complex and data-oriented world.

What can you expect?

The flexible structure of the SPME master's program consists of a small, theory-based compulsory catalog and a wide range of options, thus providing a good opportunity to specialize according to your own interests, for example in the areas of

statistics
probability theory
mathematics in economics
data science

Thanks to a good teacher-student ratio, you can develop your full potential and also collaborate on current research topics.

Curriculum

All detailed information on the structure and content of the program can be found in the curriculum (PDF in German) or in the list of courses in TISS.

In the SPME curriculum, at least one of the two specializations must be selected:

Statistics and probability theory: for example, mathematical statistics, multivariate statistics, regression models, advanced probability theory.
Mathematics in economics: for example, microeconometrics, dynamic macroeconomics, game theory, nonlinear optimization, applied OR.

Within the specializations, there is considerable freedom in the individual selection of certain compulsory subjects and a wide range of restricted electives. In addition, restricted electives in the field of data science must be taken.

A schematic representation of the study plan is as follows.

Due to the wide range of choices available, courses do not have a recommended semester. In the first three semesters, students are usually required to complete

Mathematical fundamentals worth at least 17 ECTS
Specialization in statistics and probability theory OR mathematics in economics worth at least 19-24 ECTS
Compulsory electives worth at least 20 ECTS
Electives in the field of data science worth at least 15 ECTS
Free electives and transferable skills worth 9 ECTS

In the fourth semester, the focus is entirely on writing a thesis.

Further information

Admission and registration

Admission without further requirements to all four master programs is currently possible after completing one of the following bachelor's programs at TU Wien

Technical Mathematics
Statistics and Mathematics in Economy
Finance and Actuarial Mathematics

Admission with other degrees is possible after individual review and, if necessary, additional examinations. Please note that the admission review may take some time. Moreover, consider the general admission deadlines:

Winter semester: July 7 - October 31
Summer semester: January 7 - March 31

More information on admission and registration can be found on the website admission procedure for master studies.

Possible fields of employment

Graduates of the master program SPME combine sound theoretical knowledge with a repertoire of application-oriented techniques and models, enabling them to efficiently solve complex problems in business. As a result, they are among the most sought-after young professionals and usually have good prospects for well-paid jobs with opportunities for advancement.

Typical jobs are in:

Data analysis and data science
Economic and market research
Analyst positions at central banks
Energy forecasting
Positions in public service and healthcare
A wide range of opportunities in the startup environment

Lecturers

The courses in the master program in Statistics - Probability - Mathematics in Economics are primarily taught by lecturers from the

Institute of Statistics and Mathematical Methods in Economics

What our alumni say

Johanna Grames, Governmental Affairs and Health Economics for AOP Health, Senior Manager:

I would again choose to study SPME with a well-connected group of smart and engaged colleagues guided by passionate professors to get a scientific foundation in mathematics combined with exciting applications to understand economics and respective decision making.

Nermina Mumic, Founder of the Startup Legitary:

The SPME master’s program combines strong mathematical foundations with advanced problem-solving and data-driven thinking. By bridging rigorous theory with real-world applications, the program lays the groundwork for innovation in AI, data science, and computational research.

Admission

Information on admission and registration can be found on the website admission procedure for master studies.

Questions regarding studies?

Student council

Fachschaft Technische Mathematik

Wiedner Hauptstraße 8-10\ Room DA01G2, 1st floor\ 1040 Vienna

Phone: +43 1 58801 49544\ E-Mail: strv@fsmat.at \ Website

Study service

Dean's Office of the Faculty of Mathematics and Geoinformation

Wiedner Hauptstraße 8\ 1040 Vienna

Phone: +43 1 58801 10003\ E-Mail: dekmug@mail.tuwien.ac.at\ Website of dean's office

Dean of studies

Gernot Tragler

Ao.Univ.Prof. Dipl.-Ing. Dr.techn.

Vice dean of studies

Hans-Berndt Neuner

Univ.Prof. Dr.-Ing.