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Mathematics BSc


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Program Contact:

Marcel Oliver

Professor of Mathematics


Research I, 107

+49 421 200 3212


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Applied and Computational Mathematics (ACM) is an interdisciplinary major teaching modern quantitative modeling in a broad spectrum of applications areas. At Jacobs University, we offer specializations in

  • Computational Biology including Bioinformatics and Biomedical Modeling with strong links to a broad array of experimental and theoretical life sciences,
  • Computational Mathematics with a focus on the theoretical foundations while keeping an option for interdisciplinary work, and
  • Financial Mathematics on theory and computation of asset valuation and risk.
Whichever path you will choose, we will take you on a journey which involves advanced mathematical algorithm and the use of high performance computers toward understanding and solving real-world problems in a virtual laboratory.

ACM core

A solid mathematical and methodological training provides the basis for study and research in the theoretical applied sciences and scientific computation. This core knowledge include the following subject areas.

  • Mathematics and Mathematical Methods: Calculus, Linear Algebra, Introduction to Combinatorics, Probability and Statistics, Elements of Group Theory, Graph Theory, and Optimization;
  • Numerical Methods;
  • Data Structures and Algorithms, Programming Languages, and Mathematical Software;
  • Theory of Nonlinear Dynamical Systems.

Since modeling is necessarily a two-way exchange between theory and observation, all ACM students are also required to get some exposure to at least one experimental subject area including laboratory experience in the field. The default choices are Physics and/or Biochemistry, but others are possible.

Specialization areas

Students will choose a specialization area when entering their second year of study. After successful completion of the first year, it is in principle possible to transition into each of the specializations. However, a smooth transition requires a compatible choice of first year courses, so that students are encouraged to look ahead early.

It is important to note that a professional career in any of the specializations normally involves obtaining a Masters and possibly a Doctoral degree upon completion of the Bachelor. (On the other hand, a Bachelor in Applied and Computational Mathematics certainly opens up a multitude of professional career opportunities--see below.) Therefore, the overarching goal of our Bachelor program, independent of the chosen specialization, is the development of problem solving skills as well as providing a toolbox of methods which are widely applicable across fields. The specialization areas cannot replace targeted postgraduate study, but rather embed the ACM core into specific fields of modern interest and appeal.

Computational Biology

The specialization in Computational Biology will equip students with a broad view towards applying mathematical and computational methods in the Life Sciences and Medicine. The training comprises two distinct, but scientifically highly interrelated directions: Bioinformatics, the investigation of the genome from an information theoretic point of view, and Systems Biology which analyzes biological and ecological processes as dynamical systems. Through cooperation with the Fraunhofer MEVIS research institute, there is ample opportunity for specialization courses and undergraduate research in the direction of Biomedical Modeling.

Computational Mathematics

The specialization in Computational Mathematics focuses on the methodological and theoretical foundations. This choice leaves students with the widest range of possible career paths, ranging from graduate study and research in Applied Mathematics, Scientific Computing, Computational Engineering, to further study in any of the other specialization areas. Graduates will have obtained a solid foundation in Mathematical Analysis, Numerical Analysis, Dynamical Systems, and some exposure to Scientific Computing.

Financial Mathematics

The specialization in Financial Mathematics is the most abstract of the three. In addition to the mathematics requirements of the specialization in Computational Mathematics, students will learn measure theory and stochastic processes which form the foundation of methods for derivative pricing. Courses on economics, risk control, and legal and regulatory frameworks give a broader perspective of the objectives and constraints for modeling assets and risks.

Career Options

Studying Applied and Computational Mathematics will make you a versatile and sought-after candidate for employment in industry, professional master's programs in the fields of computational engineering and computational finance, as well as research focused graduate programs in applied mathematics, computer science, and your chosen field of specialization. Professional career fields include bio-medical technology, IT, engineering, consulting, and finance.

The ACM program cooperates with other institutions in the Bremen area, e.g. Fraunhofer MEVIS, The Leibniz Center for Tropical Marine Ecology, and the Alfred Wegener Institute.

Our students have enrolled in graduate programs or have accepted positions with institutions like Cambridge University, the University of California, Oxford University, the European Bioinformatics Institute, and many others.


Last updated 2014-08-07, 18:04. © Jacobs University Bremen. All rights reserved. Data Privacy Statement/Datenschutzerklärung