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Computational Life Sciences (B. Sc.)

[Translate to English:] Medizininformatiker bei der Arbeit

The focus of computational life sciences and medical informatics is human health. Digitalisation and informatics play a crucial role by automating processes, analysing data and simulating biological processes to make them understandable. A deep understanding of biological and medical aspects as well as informatics skills are important factors for success.

Please note: This program is taught in German. 

 



Bachelor of Science (B. Sc.)

7 Semesters

Winter

Yes

German


Contents

The Computational Life Science (aka Bio- and Medical Informatics) degree programme is just right for you if you want to work in a growing industry that cares about people's health. Here, skills from computer science, health and natural sciences are taught. Through internships and projects, methodological and social skills are strengthened and there is also a module on entrepreneurship to prepare students for founding their own start-up in the health sector. The programme initially teaches general knowledge, and later there is the opportunity to specialise.

Please note: The programme is taught in German. 

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Bio- und Medizininformatik / CLS: Find out what study ambassador Marcel has to say!

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Curriculum

1. Semester

Software-Entwicklung 1

Grundlagen der Informatik 1

Mathematik 1

Mikrobiologie und Genetik

Einführungsprojekt

Gesundheitssysteme, Prävention & Public Health

2. Semester

Software-Entwicklung 2

Grundlagen der Informatik 2

Mathematik 2

Biomedizintechnik

Anatomie und Physiologie

Anwendungen der Bio- und Medizininformatik

3. Semester

Bildgebende Verfahren in der Medizin

Datenbanksysteme

Biostatistik und Datenanalyse

Biochemie und Pharmakologie

Projekt-, Risiko, Qualitätsmanagement

4. Semester

Bioinformatik

Methoden der künstlichen Intelligenz

Digitale Transformation im Gesundheitswesen (eHealth) 1

Ökonomie im Gesundheitswesen

Entrepreneurship inkl. Gründerprojekt

5. Semester

Praxisbegleitende Lehrveranstaltung (PLV) 1

Praktikum

PLV 2

6. Semester

IT-Sicherheit

Modellierung und Simulation biomedizinischer Systeme

Seminar zukunftsweisende Technologien

Digitale Transformation im Gesundheitswesen (eHealth) 2

Rechtsgrundlagen, Datenschutz, Ethik

7. Semester

Fachwissenschaftliche Wahlpflichtfächer

Bachelorarbeit und Seminar


Quick Info

Admission and application
  • Applying for a degree course
    Students may only begin their degree in the winter semester.
  • Registration dates
    Applications for this degree may be submitted through the online application system from May 2 to August 31, 2025. Please see bachelor application for details.
  • Admission requirements
    To gain admission to the programme, applicants need one of the following qualifications for university entrance:

    • Abitur (European Baccalaureate, A-Levels, High School Diploma)
    • Fachhochschulreife (Vocational Baccalaureate)
    • Fachgebundene Hochschulreife (Specialised A-Level)


    The following link provides specific information about the application process for admission to the degree programme.

  • Admission requirements for international students
    If you wish to study at a German University, you need a so-called Hochschulzugangsberechtigung (HZB), or higher education entrance qualification. This is a secondary school-leaving certificate that corresponds to the German Abitur and entitles you to study.
    Students from abroad must apply for admission from the university of their choice. For your application, you will require for a Bachelor's degree:

    • a school-leaving certificate (also known as "university entrance qualification", e.g. High School Diploma, Matura, A-Levels, Bachillerato, Atestat, baccalauréat)
      or
    • proof that you have passed the university entrance examination (if required in your home country)

    (Source: German Academic Exchange Service, DAAD, July 2016)
     

  • Language requirements
    German level at least B2, all lectures and exams are held in German
Job profiles

Fields of application open up in the following areas and sectors, for example:

  • Health and patient care
  • Fitness and wellness sector
  • Start-ups
  • Research
  • Pharmaceutical industry
  • Biotech
Dual studies or studies with in-depth practical

Das duale Studium ermöglicht eine Kombination aus praktischen Ausbildungselementen in einem Unternehmen und theoretischer Ausbildung an der Hochschule. Dabei kann entweder das Verbundmodell (Studium & Berufsausbildung) oder der Studiengang mit vertiefter Praxis (Studium und intensive Praxisphasen) gewählt werden. Der Vorteil für Studierende liegt auf der Hand: Mit einer praxisnahen akademischen Ausbildung gestaltet sich der Übergang von Studium in den Beruf meist fließend. Darüber hinaus wird der Studierende vom jeweiligen Unternehmen in der Regel finanziell vergütet und im besten Fall nach Studienabschluss übernommen.

Bitte informieren Sie sich auf unseren Seiten zum Dualen Studium bzw. auf der Suche nach einem Dualen Unternehmenspartner. Auch wenn aktuell kein Partnerunternehmen in diesem Studiengang aktiv ist, können Sie sich gerne an uns wenden.

FAQs

Why should I study Computational Life Sciences?

You should study Computational Life Sciences if you are interested in a career in a fast-growing and promising field that meets current societal challenges. This degree programme combines the fields of life sciences, medicine and computer science, providing you with interdisciplinary expertise. You will learn how to network, automate and analyse medical data in order to develop better diagnostics and therapies. In addition, the programme offers you the opportunity to strengthen your methodological and social skills through practical work and group projects, and prepare you for a career as an entrepreneur in the field of life sciences.

 

What career opportunities does the Computational Life Sciences degree programme offer?

The Computational Life Sciences programme offers career opportunities in areas such as:

1. healthcare IT: implementation and management of IT systems in hospitals and clinics.

2. biotech and pharmaceutical companies: Development of information systems and software for research and development

3. research and development: study of biomedical data and analysis of genetic and biological processes

4. data analysis and management: analysis of large amounts of data in areas such as genomics, proteomics and clinical trials

5. medical device manufacturing: developing medical devices and systems with computer-aided diagnostics and therapeutics.

There may also be career opportunities in regulatory agencies, insurance companies or medical imaging.

When is the Computational Life Science degree programme right for me?

The Computational Life Science degree programme may be right for you if you:

1. have an interest in biology and medicine and want to combine this knowledge with computer science.

2. find the application of technologies and information systems in health care and biomedicine exciting.

3. find data analysis and management as well as the development of IT systems interesting.

So, if you have an enthusiasm for biology, medicine and computer science and enjoy interdisciplinary work, the Computational Life Science degree programme may be just right for you.

Is practical experience such as internships or projects offered?

We place great emphasis on practical experience. That's why the curriculum not only includes an entire practical semester in the 5th semester; you already get to know the application areas of the degree programme through practical project work in the first semesters.

Is a stay abroad possible during the degree programme?

A stay abroad is of course possible. Advice on this is provided by the International Office in regular information events and personal counselling.

Do I need previous knowledge of programming?

Programming is taught in the subject Software Development 1. Students are introduced to the Java programming language step by step by means of exercises and practicals. No previous knowledge is necessary. However, constant cooperation and fun in learning something new is important. 

Application

Contact options for prospective students

Apply online

Programme Director and Academic Advisor

Prof. Dr. Bernd Hafenrichter
Prof. Dr. Bernd Hafenrichter
Phone: +49 841 9348-2522
Room: B203
E-Mail: Bernd.Hafenrichter@thi.de

Your contact persons

Prof. Dr. Ludwig Lausser
Academic Advisor Computational Life Sciences
Prof. Dr. Ludwig Lausser
Phone: +49 841 9348-2347
Room: B203
E-Mail: Ludwig.Lausser@thi.de

Module Handbook

The module handbook contains information on prerequisites, contents, learning outcomes, ECTS points, duration, work load, literature, references of the offered modules and lectures.

Module Handbook_CLS_winter term 2022/23

The module handbook for the Bachelor progamme starting with the winter term 2023/24 can be found here:

Module Handbook Bio- und Medizininformatik

Study and Examination Regulations

Study and examination regulations (SPO) deal with judicial matters concerning your study course. Please turn to the pages of the legal department for Statutes of this course.

For any questions on requirements, exams regulations and more, please turn to the Service Center Study Affairs.

Links

Semester dates

 

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  • Esplanade 10
    85049 Ingolstadt
  • Phone: +49 841 9348-0
  • Mail: info@thi.de

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Any Questions?

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