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Bio Data Science (english)

  • Abschluss Master
  • Dauer 4 Semester
  • Art Berufsbegleitendes Präsenzstudium

In the last couple of decades, increasingly powerful analytical instruments in the life sciences provide enormous amounts of high-quality data. To be able to understand living systems with their complex chemical and biological functions and structures, the elaborate experimental design, data processing, evaluation and presentation is required.

The Bio Data Science master's degree program aims to enable students to generate biological data using state-of-the-art methods, ensure sufficient data quality, perform complete bioinformatic analysis, and professionally interpret results.

The Bio Data Science is aimed at graduates of undergraduate studies in the natural sciences as well as experienced researchers who want to upgrade their biotech career with know-how in data analysis. We organized the studies in a way that they can be completed also while being employed.

Our distance learning methods guarantee flexible study. All you need is a good internet connection and a computer and the whole world can become your workplace.

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Course organization

Continuing education (extra occupational)

Lecture times:

Friday* and Saturday

Monday and Wednesday if required

*from the 2nd semester onwards Friday from 14:00

Distance learning elements and blended learning as well as the multifaceted interactive design of the courses using modern didactic methods ensure the greatest possible learning efficiency in the transfer of knowledge for the development of new skills.

Acquired theoretical knowledge is applied in laboratory exercises and practical projects from the first semester on. In order to optimally prepare for their master’s thesis, students write a research proposal in the 3rd semester in which they independently deal with a scientific problem and create a detailed plan for the realization of their research work.

The 4th semester is reserved for the preparation and completion of the master’s thesis. In the course of this work, students apply the knowledge they have acquired during their studies. 

Admission requirements

  • Completed bachelor's / diploma studies in natural, engineering or health sciences as well as experience in the subjects of chemistry, analytics, microbiology and molecular biology
  • Attendance of a one-week, complimentary summer school course for optimal preparation for the degree program

Areas of Focus

  • Data Generation in Bio-analytics and Bioinformatics
  • Analysis Tools

    • Programming in Python, Bash, R
    • Databases
    • Machine learning
    • Biological networks
    • Mathematical modeling of biological data

  • Applied and Multivariate Statistics
  • Data Analysis in Omics Data

    • Genome analysis and comparative genomics
    • Transcriptomics
    • Structural bioinformatics
    • Metagenomics
    • Metabolomics and proteomics
    • Geodata
    • Linkage of high-throughput data analysis methods

  • Essential Scientific Competencies

    • Scientific communication
    • Ethics and law
    • Master thesis seminars
    • Quality management

Career opportunities

The Bio Data Science master’s degree program is not only the perfect stepping-stone for your career and professional development, it also prepares you for doctorate research at a university in Austria or abroad.

Potential employers can be found in the following areas, among others:

  • Biotech industry
  • Pharmaceutical industry
  • Research institutes, universities, and technical colleges
  • Hospitals
  • Food and feed industry
  • Chemical industry
  • Research institutes

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Bio Data Science