About Studying Mathematics
Information for beginners
The information collected here is geared towards people interested in studying Mathematics with no undergraduate degree in Mathematics. If you are interested in pursuing a graduate degree (MSc/PhD) you will find the appropriate information for you under Study Programs.
Modern mathematics: full of tradition yet futureoriented
Mathematics belongs to the oldest scientific disciplines, its roots go back to antiquity. It has always attracted creative minds, who put all their energy in solving difficult problems in geometry, analysis, algebra, and number theory and worked towards the fascinating scientific discipline we know today.
Many people believe that mathematics is a discipline out of touch with reality and only deals with problems that are irrelevant outside mathematics. This, however, is not at all true: Mathematics is the foundation of natural sciences; it supplies the correct language for models that allow predicting physical and chemical processes. Describing our environment through mathematics is no longer restricted to physics and chemistry: The combination of mathematical models, analytical procedures and computational methods are the backbone of modern technologies and has proven itself in many disciplines, such as biology, finance, insurance, or economy. UNESCO consequently declared 2000 as year of mathematics.
Studying at the faculty of mathematics
At the faculty of mathematics prospective students can take up the following studies:

The teacher training in mathematics (to be combined with another subject) educates mathematics teachers for secondary schools and therefore includes didactical and school mathematical training in addition to a basic education in mathematics.
 The bachelor programme of mathematics offers a comprehensive training in pure and applied mathematics. After the bachelor degree it is possible to enhance the mathematical training at the highest international level by enrolling in a master or doctoral programme. The successful completion of the bachelor degree guarantees the possibility of enrolling in the master programme of mathematics.
Organizational information and the relevant curricula (study plans) are available at the webpages of the StudyServiceCenter Mathematics.
Mathematics is an internationallyoriented discipline with many attractive possibilities to study abroad.
Studying at the faculty of mathematics is particularly studentfriendly in several ways:
 In the initial phase tutors hold workshops in which essential but possibly missing knowledge from previous education is taught.
 The ratio between students and professors is very good, contributing to the beneficial working environment at the faculty.
 Students are relatively free in determining dates for their examinations.
The variety and strength of the research groups at the faculty of mathematics enables students (especially for master and doctoral programmes) to specialize in numerous mathematical areas. The advanced curricula offer many possibilities to choose from.
Career prospects for graduates in mathematics
The study programmes of mathematics at the University of Vienna mirror the rich and diverse points of reference to modern technologies (computer science, cryptography, genetics, biomathematics, semiconductor technology etc.) and younger ares of interest (economics, statistics, mathematical finance) as well as the fundamental meaning of natural sciences (physics, chemistry) and philosophy (in particular logic).
It is especially this diversity of applications that makes welleducated mathematicians universally usable; they become simply irreplaceable through their analytical precise thinking trained during their studies. Studying mathematics is a real challenge, hence graduates are not found in unemployment statistics. Beside the more typical careers in teaching and science at school and universities new occupational images are appearing which are not so easily defined due to the universality and interdisciplinarity of mathematics: mathematicians design complex software applications, carry out simulations in mechanical engineering, calculate risk premiums for insurance companies, determine the value of financial contracts, optimize cable networks, plan production processes, produce statistical data, model the functioning of the brain, research economic connections and explain the evolution.