Augsburg University

What you'll study

This programme builds a solid mathematical core while emphasising computational approaches and numerical methods. In early semesters you will cover foundational subjects such as real analysis, linear algebra, algebra, and ordinary differential equations. From there the course introduces numerical analysis, scientific computing, numerical linear algebra, approximation theory and computational optimisation. You will also study probability theory and mathematical statistics, discrete mathematics and algorithmics.

Practical computing is embedded throughout: modules typically include programming for mathematicians (using languages and tools such as Python, MATLAB or similar), numerical simulation, and project work where you develop, test and document algorithms. Elective modules allow specialisation in areas such as partial differential equations and finite-element methods, computational statistics and data analysis, mathematical modelling in the natural sciences, and machine learning foundations. The degree concludes with a supervised bachelor’s thesis, often involving a computational project or collaboration with a research group or industrial partner.

Entry requirements

Applicants are normally expected to hold a school-leaving qualification equivalent to the German Abitur with strong performance in mathematics. International applicants should provide documented equivalent secondary qualifications. Evidence of good mathematical ability (for example strong grades in higher-level mathematics or successful completion of university preparatory mathematics courses) is required.

Because instruction and examinations are primarily in German, proof of German language proficiency at the level required by Augsburg University is usually necessary for admission to the Bachelor programme. Some courses, project work or exchange opportunities may use English, and non-native English speakers may be encouraged to demonstrate competence through recognised English tests where relevant.

Additional requirements can include a personal statement or motivational letter outlining mathematical interests and any programming experience. Specific admission procedures and recognition of prior study or vocational experience follow the university’s standard undergraduate regulations.

Career prospects

Graduates combine strong theoretical skills with practical computational competence and are sought after in a wide range of sectors. Typical career paths include data analyst or data scientist roles, quantitative analyst positions in finance, software development with a focus on algorithms or scientific computing, and positions in engineering firms and technology companies working on simulations or optimisation tasks.

Other options are applied research and development in industry, roles in modelling and simulation for the natural and life sciences, and public-sector analytical roles. Graduates who wish to pursue academia can continue to master's and doctoral studies in mathematics, computational science, statistics or related interdisciplinary fields. Teaching at schools is possible after completing the required teacher training and pedagogical qualifications.

Why study at Augsburg University

Augsburg University offers an environment where mathematics and computer science are closely linked, enabling students to gain solid theoretical foundations alongside hands-on computational training. The university’s faculty emphasises small-group teaching, accessible supervision for project work and opportunities to engage with applied research groups.

Students benefit from modern computing facilities, programming labs and opportunities for interdisciplinary projects with natural sciences, engineering and economics. The university maintains regional industry connections and international exchange partnerships, providing routes to internships, applied projects and study abroad. For those seeking a balance of rigorous theory and practical skills in computation, the programme provides a clear pathway to both professional careers and further academic study.