Welcome to the Master's Program in Statistics – Probability – Mathematics in Economics at Technische Universität Wien! Our program offers a rigorous and comprehensive education designed to equip students with advanced expertise in statistics, probability theory, and mathematical techniques relevant to economics.

The program, taught in English, balances theoretical foundations with practical applications, preparing graduates for a wide range of career paths in academia, research and development, data science, finance, public policy, and beyond.

Specialization Modules:

  • Statistics and Probability: Delve into data science, stochastic modeling, and predictive analytics.
  • Mathematics in Economics: Explore mathematical methods in economic theory, econometrics, and operations research.

Key Features:

  • Hands-on Learning: Engage in practical exercises, projects, and seminars to apply your knowledge to real-world problems.
  • International Perspective: Study in a diverse environment, with a curriculum designed to meet global standards and enhance your international competitiveness.

Join us to advance your expertise at the intersection of mathematics, economics and statistics, and open doors to exciting worldwide career opportunities.

[Translate to English:] ECTS Distribution

The program compromises core modules, elective courses, and a master’s thesis:

  • Foundations: Mandatory courses for both tracks.
  • Core Modules: Fundamental courses in statistics, probability and advanced mathematics.
  • Elective Courses: Specialized courses in chosen areas and Data Science.
  • Master’s Thesis: An independent research project culminating the program.

Students can choose from the following specializations:

  • Statistics and Probability: Focus on data science, stochastic modeling, and predictive analytics.
  • Mathematics in Economics: Emphasis on economic theory, econometrics, and operations research.

The choice of the specialization area is not required upon admission to the program. You can select the track at the end of your studies depending on the courses you selected during your tenure.

Our modules in detail.

The program is structured into core modules, elective courses, and a master’s thesis:

  • Core Modules: Fundamental courses in statistics, probability and advanced mathematics.
  • Elective Courses: Specialized courses allowing for deeper exploration in chosen areas and Data Science.
  • Master’s Thesis: An independent research project culminating the program.

Students can choose from the following specializations:

  • Statistics and Probability: Focus on data science, stochastic modeling, and predictive analytics.
  • Mathematics in Economics: Emphasis on economic theory, econometrics, and operations research.

 

 

Admission Procedure

Information on prerequisites

To be admitted to the program, you must have completed a bachelor's degree in mathematics or related areas.

Eligible degree programs at TU Wien include:

  • Bachelor’s Degree in Technische Mathemaik (033 201)
  • Bachelor’s Degree in Statistik und Wirtschaftsmathematik (033 203)
  • Bachelor’s Degree in Finanz- und Versicherungsmathematik (033 205)

A bachelor's degree solely in Economics is not sufficient. Proficiency in English (B2 level) is required.

If necessary, additional mandatory courses up to 30 ECTS will be required and added to your individual coursework. These courses, selected in consultation with the Dean of Academic Affairs, will make-up academic deficiencies upon entry to the program.

Support

There is also a chance on getting financial assistance through grants and scholarships.

More information can be found at the following websites:

During your time at TU Wien you can also attend various studies abroad.
More information is provided by our International Office.

Sometimes it is easier to ask someone your age for help and guidance. 
The Student Union Fachschaft Technische Mathematik, opens an external URL in a new window will provide you with information and help you throughout your time at TU Wien.

After Graduation

 

This program prepares graduates for a wide range of career options.

Academic:

  • Doctorate degree
  • Research and development in research organizations

Non-academic:

  • Research and development in industry
  • Data Science and statistical consulting
  • Economic analysis and policy advisory

Lecturers

Deans Office

Dean's Office of Faculty of Mathematics and Geoinformation

Wiedner Hauptstraße 8
1040 Vienna

Phone: +43 1 58801 10003
Email: 
Website of the Dean's office, opens in new window

Dean of Academic Affairs

Gernot Tragler

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

Student Representation

Student Union Technical Mathematics

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

Phone: +43 1 58801 49544
Email: stv-fsmath@googlegroups.com
Website of the Student Union, opens an external URL in a new window