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Digital Labs and Production Specialisation

Use your data-based knowledge in a targeted manner and learn to optimise or reinvent various laboratory and production processes.

The focus of the compulsory modules is on Data & Process Digitalisation and Data & Laboratory Digitalisation, with application areas in biotechnology, the pharmaceutical industry and the food industry. You will be fully prepared to participate in research and development, to help shape automation in laboratories and production processes, and to optimise product development processes, for example for pharmaceuticals.

You will learn about...

Examples of projects you could work on in the future

Career

Companies in the chemical, biotechnology and pharmaceutical sectors, biomedicine, the food industry and the health sector are typical employers. Would you like to know what career path you could follow after graduation? An overview is provided on our careers page.

Education - Module overview

The compulsory modules within the specialisation are supplemented by elective modules, which provide you with the opportunity to develop further, either in specific topics within the specialisation or supplementary topics. This enables you to create an individual course profile according to your interests.

It is possible to combine certain elective modules into a minor. A minor corresponds to at least 12 ECTS credits, of which about half is completed in the form of a project paper.

Notes on the module overview

Semester ECTS to be achieved (180 in total) in modules
1. - 3. Semester 30 ECTS compulsory modules each
4. - 6. Semester 30 ECTS each, compulsory modules and compulsory elective modules incl. minor

The module examinations take place at different times after the end of the lecture period. A module is considered passed if a grade average of at least 4.00 has been achieved, no individual grade is below 2.5 and all pass/fail activities have been completed.

This module table is valid since 12. September 2022

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Grundlagen

Data Science & Computation

Projekte & Labs

Digital Life Sciences Module

1. Semester, ECTS: 30

Analysis & Algebra
ECTS: 6

English
ECTS: 2

Gesellschaft, Kultur, Sprache
ECTS: 2

Daten und Information
ECTS: 4

Programmieren
ECTS: 4

Physical Computing in Life Sciences
ECTS: 4

Anorganische Chemie
ECTS: 4

Biologie & Technikgrundlagen
ECTS: 4

2. Semester, ECTS: 30

Systeme & Modelle der Physik
ECTS: 4

English
ECTS: 2

Gesellschaft, Kultur, Sprache
ECTS: 2

Statistik und Wahrscheinlichkeit
ECTS: 4

Numerische Grundlagen d. Data Science
ECTS: 4

Datenzentriertes Programmieren
ECTS: 2

Versuchsplanung & Auswertung Praktikum
ECTS: 4

Systeme der Biologie
ECTS: 4

Organische Chemie
ECTS: 4

3. Semester, ECTS: 30

Math. Modelle und Analyse
ECTS: 4

Datenbanken
ECTS: 4

Statistische Modellierung & Simulation
ECTS: 2

Maschinelles Lernen
ECTS: 4

Data Engineering
ECTS: 4

Life Sciences Datalab - Praktikum
ECTS: 8

Life Sciences Datalab - Methoden & Techniken
ECTS: 4

4. Semester, ECTS: 30

Data & Society
ECTS: 2

Modelling of Complex Systems
ECTS: 2

Neural Networks
ECTS: 4

OS and Infrastructure
ECTS: 4

Signal & Image Processing
ECTS: 4

Projektarbeit - Praktische Anwendung
ECTS: 6

Fundamentals of Process Engineering
ECTS: 4

Sensors & Measurements
ECTS: 2

Microbiology
ECTS: 2

Genomics
ECTS: 2

5. Semester, ECTS: 30

Economy & Entrepreneurship
ECTS: 4

Optimisation and High Performance Computing
ECTS: 4

Projectorient. Digital Storytelling & Visualisation
ECTS: 4

Individuelle Projektarbeit LS Applikation
ECTS: 8

Bioprocess Technology
ECTS: 2

Lab Data & Processes
ECTS: 4

Molecular Imaging
ECTS: 2

Chemometrics
ECTS: 2

Fluid Dynamics
ECTS: 2

Digital Food Processing 1
ECTS: 4

Bioinformatics
ECTS: 2

Machine Learning in Diagnostic Imaging
ECTS: 2

6. Semester, ECTS: 30

Ethics and Law
ECTS: 4

Bachelor Thesis
ECTS: 16

Smart Labs
ECTS: 2

Smart Production
ECTS: 4

Laboratory Informatics / LIMS
ECTS: 2

Digital Molecule Design
ECTS: 2

Industrial Systems
ECTS: 2

Digital Food Processing 2
ECTS: 2

Bioinformatics 2
ECTS: 2

Integrated Omics
ECTS: 2