University of Bonn

Germany
9 Scholarships 31 Programs 2 Degree levels
Masters

Life Science Informatics

Offered at University of Bonn, Germany
DegreeMasters
FieldMSc Life Science Informatics
Duration2 years

Overview

The MSc Life Science Informatics at the University of Bonn trains you to combine life-science knowledge with modern data science and software skills. You will work on topics such as bioinformatics, chemoinformatics, machine learning for biomedical data, and research projects with academic and industry partners.

About this programme

Overview

The Master of Science (MSc) in Life Science Informatics at the University of Bonn is designed to equip students with the skills to integrate life-science knowledge with contemporary data science techniques. This program emphasizes practical applications, allowing students to engage in bioinformatics, cheminformatics, and machine learning tailored for biomedical research, while collaborating with both academic institutions and industry partners.

What you'll study

The curriculum comprises core modules and hands-on research activities, categorizing content into foundational life-science principles, computational methodologies, and specialized application topics.

Core learning areas

  • Informatics and Mathematics for Natural Scientists: Focuses on programming, data management, and mathematical concepts essential for analysis and modeling.
  • Basic Life Science Informatics: Introduces biological concepts and their computational representation and analysis.
  • Chemoinformatics and Computer-Aided Drug Design: Explores methods for analyzing chemical structures and enhancing drug discovery processes.
  • Biology of the Cell and System Biology: Employs computational strategies to dissect biological systems and their interactions.

Selected module examples

  • Adjustment of Knowledge in Biology, Chemistry, and Computer Science
  • Molecular Modelling and Drug Design
  • Bioinformatics
  • Knowledge Discovery
  • Programming Lab
  • Chemoinformatics

Practical and research components

  • Laboratory- and project-based modules: These modules are aimed at applying computational techniques to address life-science inquiries.
  • Collaborative research environment: Practical applications are reinforced through partnerships with Fraunhofer institutes and local industry.

Final assessment: The program culminates in a capstone or master thesis. Ensure to verify the thesis format and credit allocation for your specific intake.

Entry requirements

To gain admission to the MSc Life Science Informatics, candidates must demonstrate an appropriate academic background and the capability to engage with an English-language curriculum focused on computation and life sciences. Additional evaluation processes may be required based on previous academic qualifications.

Academic background

  • A relevant first degree (e.g., in life sciences, informatics/computer science, biotechnology, chemistry, or a closely related field).
  • Evidence of foundational knowledge in at least one of the following areas: biology/life sciences, chemistry, or programming/informatics.
  • Applicants may need to complete bridging or preparatory courses if their background does not align sufficiently with program requirements.

English language proficiency

  • TOEFL iBT: Minimum score of 72
  • IELTS: Minimum score of 5.5
  • PTE Academic: Minimum score of 59

Career prospects

Graduates of the MSc Life Science Informatics are well-prepared for various career paths within academia, industry, and research institutions. Opportunities may include roles in bioinformatics, drug development, data analysis, and computational biology, where they can contribute to innovative solutions in health and scientific research.

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Programme details are indicative and may change — always verify current information with the official university website before applying.