| Degree awarded | Bachelor of Science (B.Sc.) |
|---|---|
| Duration and credits | 6 semesters; 180 ECTS credits |
| Starts in | October (winter semester) |
| Language of instruction | English (from 2026) |
Are you an inquisitive person who likes getting to the bottom of things? Do you enjoy solving the odd brain teaser? And when you're working on one, do find you can't stop until you've come up with a solution?
Mathematics is both art and science; it is language, precision and beauty. It is also of fundamental importance to nearly all academic disciplines and an indispensable prerequisite for the development of almost any modern technology you could think of.
This degree programme teaches you a wide range of fundamental structures and methods in mathematics, imparting the necessary foundations of mathematical knowledge and skills to further maximise your choices after you graduate: building on the B.Sc. Mathematics, you can continue your studies and specialise in the mathematical field, follow up with a cross-disciplinary second degree, or alternatively enter the job market in a field that calls for a strongly mathematical background.
Once you graduate from this degree programme, you can follow up with a master's degree programme, such as our English-taught M.Sc. Computational Mathematics.
Almost all courses are taught in English, with only a few minor exceptions. For this reason, all students must provide proof of English language proficiency at level B2 of the Common European Framework of Reference for Languages (CEFR) in order to enrol.
German language skills are not required at the start of the programme. Students whose prior education was not completed in German should acquire German language skills for everyday life and professional competence (at least at level B1 CEFR) while studying the degree programme.
Mathematicians have outstanding career prospects, as they are highly sought after wherever high-level analytical thinking skills are a requirement. Mathematicians find employment in almost every segment of the public and private sector.
Many mathematicians find work in the financial services industry, in consulting and auditing, market research, logistics, pharmaceuticals and IT, as well as in the research and development departments of high-tech companies. Graduates aiming for a scientific career path at a university or research institute can continue by studying for a master’s degree.
You will gain the ability to put problems into precise terms, train your conceptual, analytical abstract thinking, logical reasoning and the ability to discover underlying patterns and analogies. You will learn to recognise mathematical relationships in a wide variety of areas, and how to formalise and analyse them. You will develop models of complex theoretical or pragmatic problems and learn to select the appropriate mathematical approach to solving them. This programme places an emphasis on teamwork and oral and written presentation of mathematical facts, as well as on logically sound and consistent analysis and reasoning.
The degree programme is balanced in terms of its theoretical and pragmatic aspects, providing students with a wide-ranging mathematical education while at the same time adopting an application-orientated approach. You will learn the basics of programming, and have access to a comprehensive range of courses on algorithmic mathematics – such as cryptography, computer algebra, image and signal processing, statistics, stochastic simulations and many more.
Moreover, you will gain in-depth knowledge in your chosen elective, allowing you to communicate and cooperate beyond the confines of your academic discipline.
This degree programme starts in October (winter semester) each year.
Prospective students with a higher education entrance qualification from Germany or the EEA region (e.g. German Abitur or the Austrian Matura), who have English language skills equivalent to B2 according to the Common European Framework of Reference for Languages (CEFR), can enrol directly on this degree programme during the enrolment period.
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Drop us a line: advice@uni-passau.de
