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Official roll-out of new minor study programme is going to be fall semester 2025, however, the first modules will already be offered in fall semester 2024. Thus, the programme can already be started “unofficially” in fall 2024 while the formal enrolment has to be done until fall semester 2025, where the modules that had already been booked before will be recognized.
The minor “Lab Automation and Chemical Data Science” is available for bachelor and – as complementary minor – for master programmes.
The entire programme will be taught in English.
Automation, artificial intelligence and big data are already having a significant impact on today’s life sciences, both in industry and academia. These tools increasingly gain importance to accelerate research and development and to save precious resources – and the future labs in chemistry, biology, forensics, etc. cannot be imagined without them. The interdisciplinary minor programme “Lab Automation and Chemical Data Science” is aimed at teaching you to handle these new tools.
In this minor programme, you will apprehend the basics in Python and statistics. You will learn how to automate workflows, how to utilise instrumental analytics and how to work with robotic systems in the lab. You will be taught how to efficiently process, analyse and visualise big sets of scientific data, and how to employ artificial intelligence in the lab.
This will not only provide you with new ideas for your major study programme and your research, but will prepare you to encounter future challenges in various professions in the life sciences, which increasingly are leveraging lab automation and data science in their research and development.
The minor study programme “Lab Automation and Chemical Data Science” is open to all students who are interested in modern tools in a lab context. Thus, the minor is especially relevant for students of the Life Sciences, but can also serve as some practical experience for students in a data science major.
For most modules of the minor study programme, basic knowledge in chemistry – both theoretical and practical – is required (“CHE 170 Grundlagen der Chemie für die Life Sciences“ (only taught in German) and “CHE 171 Grundlagenpraktikum Chemie für die Life Sciences“ or equivalent modules. ). In consultation with the programme coordination, the electives contingent can be used for catching up on missing basics.
The minor “Lab Automation and Chemical Data Science” comprises 30 ECTS credits, 22 of which are distributed over the five mandatory core modules that need to be accomplished:
Semester | Modul | ECTS | Typ | Assess |
---|---|---|---|---|
1 (FS) | DSA 101 Introduction to Data Analytics and Python | 4 | LE | WE |
2 (SS) | DSA 102 Lab Automation and Accelerated Chemistry | 6 | LE | WE |
3 (FS) | DSA 103 Advanced Chemical Data Science | 4 | LE | WE |
4 (SS) | DSA 104 AI and ML in Chemistry | 4 | LE | WE |
3/4 (FS/SS) | DSA 105 Automation and Data Science in Practice | 4 | PR | WW |
FS = Fall semester, SS = Spring semester, ECTS = European Credit Transfer System, ET = Lecture with practical Exercises, PR = Practical Training, Assess = Assessment, WE = SWritten Exam, WW = Written work
Additionally, at least 8 ECTS credits have to be taken as elective modules, whose topic needs to be related to the central topics in the minor programme “Lab Automation and Chemical Data Science”. The elective modules will be chosen individually and in consultation with the programme coordination.
For content and technical organization, coordination and consulting
Dr. Johannes Schörgenhumer is responsible.
For administrative aspects of the minor „Lab Automation and Chemical Data Science“ isDr. Sabine Stockhause responsible.