Mathematical biology
česky | english
in biologia mathematica doctus sum


Bachelor study

The aim of the study is to provide graduates with basic education in the scientific disciplines of biology, applied mathematics and computer sciences (mathematical analyses of biological and biomedical issues and bioinformatics). Graduates gain a basic overview on classification and functioning of living systems, obtain knowledge of the mathematical methods, information and communication technologies applicable in biological research, and acquire the ability of their application in biology and medicine including modelling. This field of study is followed by the master’s study in mathematical biology, bringing narrower specialization and deepening of the knowledge in a specific biological / mathematical / computer science field. Graduates may find employment in the processing of biological data within the academic as well as commercial sectors (research, medicine, pharmacology, environmental protection, agriculture and forestry), in the management of clinical trials, or in other areas where such data is managed.

In addition to required courses making up the branch core and to meet the course requirements, the students enter and study other optional (recommended) subjects according to the focus of their bachelor’s theses. During the bachelor’s study, the students are obliged to get at least two credits in physical education courses, and pass an exam in the English language prior to the thesis assignment.

Final state exam subjects: biology, mathematics

Master’s study

The follow-up study of mathematical biology is aimed at deepening the mathematical, biological and informatics knowledge according to the candidate’s choice (e.g. analysis of image and neural networks, assessment of biodiversity or models in biology and medicine, knowledge management, data mining, etc.). During the course of the study, graduates may specialize in three sub-fields:

  • Processing and analysis of biological, genomic and proteomic data,
  • Processing, analysis and modelling of clinical, physiological and epidemiological data, and
  • Processing, analysis and modelling of environmental data.

It is expected that the graduates are capable of working independently and maintain their bearings in the field. Graduates are able to process the biological, medical and environmental data and solve problems independently, from the initial study design and data management to the mathematical model and its algorithmization, implementation and evaluation, using information and communication technologies and, at the same time, understanding the biological nature and the interpretation of results. Graduates may find employment in scientific and commercial biologically / medically oriented research entities or in any field that focuses on data processing. Another possible work opportunity is in the development of software for the processing and management of biomedical and environmental data (medicine, environmental monitoring, etc.).

In the course of the master’s study, students are required to pass an exam in one advanced language course.

Final state exam subjects: biology, mathematics

created by Institut biostatistiky a analýz LF MU