Mathematical biology
česky | english
in biologia mathematica doctus sum

Study fields and specialisations

The mathematical biologist’s field of ​​interest can be considered as rather extensive, ranging from molecular biology to assemblages of organisms and ecosystems on the one hand, and from purely abstract mathematics to applied programming on the other. For this reason, the term “mathematical biology” has mainly an overarching meaning and, for practical purposes and better understanding by the students, the field further splits into three categories based on our experience in this domain as well as the accepted universal division:

  • 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.

Study specialization begins with selecting the topic of the bachelor’s thesis and fully matures during the master’s programme.

Processing and analysis of biological, genomic and proteomic data

This specialization caters to the demand for comprehensive and inventive processing of the growing number of increasingly complex biological data with direct clinical applications. In the last few decades, analytical support for biological and clinical research results has become not only an essential part of the scientific publications, but it also implicates their real application. A mathematical biologist has the necessary theoretical education and represents a new expertise in this field. Within the specialization, students focus on stochastic and deterministic modelling, the assembling and mining of information and knowledge, and on the modern methods of data analysis (multivariate / multidimensional modelling, robust methods).

Processing, analysis and modelling of clinical, physiological and epidemiological data

Advances in any field of modern medicine, from basic laboratory research to comprehensive epidemiological studies, are now inextricably linked to quality data processing. Cooperation between physician-researcher and data analyst often does not begin after the experiment or the study, it rather commences much in advance already at the time of planning and optimization. For this reason, the mathematical biologists of today are equal and merited members of clinical research teams with highly significant influence on the course and results of the research. Within the broader context of applying informatics and data analysis in healthcare, it is possible to sequester the several specific areas that can be especially addressed in a mathematical biology study:

  • Management of clinical data
  • Epidemiology of serious diseases
  • Planning, optimization of clinical trial surveys
  • Processing, analysis and interpretation of medical signals and images
  • Modelling of physiological systems

Processing, analysis and modelling of environmental data

Generally, we can define environmental informatics as a scientific discipline that uses information and communication technologies to support sustainable development, environmental engineering, and in provisioning environmental information and public service decision-making. EI is an interdisciplinary branch of science that uses the knowledge in the field of scientific, technical and economic sciences, especially biology, chemistry, geology, geography, mathematics and computer science / informatics.  During the master’s programme, the students of mathematical biology have the opportunity to supplement their education in the field of environmental chemistry and ecotoxicology with the application of geographic information systems and ecology. The thesis may be focused on project documentation, the creation of environmental information systems, environmental data processing or modelling of the natural processes.


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