Specializations
Become a specialist
Data science isn’t just about numbers and algorithms — it’s about uncovering insights, making smarter decisions, and driving innovation across an astonishing variety of industries.
Imagine using data to revolutionize healthcare by predicting disease outbreaks or personalizing patient care through advanced analytics. In finance, data science powers fraud detection, investment strategies, and risk management. In entertainment, streaming services use data science to recommend shows you’ll love.
The applications of data science are limitless — from self-driving cars to language translation, from cybersecurity to weather prediction. As a data scientist, you won’t just crunch numbers — you’ll solve real-world problems.
No matter your interests, there’s a space for you in data science.?
We reflect the wide variety of application fields in research and teaching by offering you four specializations in your Master's program, which correspond 1:1 to the research focus areas of our faculty:
- Machine Learning and Statistics
- Computational Life Sciences
- Human-Centred Data Science
- Information Systems?
All specializations have a scope of 42 ECTS. They offer you the opportunity to research current topics and carry out projects to prepare for your Master's thesis. If you complete one of the specializations, this specialization can be highlighted on your degree certificate.
Machine Learning and Statistics
The specialization in Machine Learning and Statistics provides you with strong competencies in mathematical modeling, algorithm development, data analysis, and critical thinking.?Experts in these fields hold the key to the development of artificial intelligence. They?are in high demand across industries for their ability to develop predictive models, optimize processes, and derive meaningful insights from complex data.
You can complete the specialization in Machine Learning and Statistics
by passing the compulsory modules
- DAT-M-MLS-SML Statistical Machine Learning, 9 ECTS
- DAT-M-MLS-AS1 Advanced Statistics 1, 9 ECTS
- DAT-M-MLS-RSRCH Research Project, 18 ECTS
and compulsory elective modules totalling?at least 6 ECTS from the following range of modules at your own choice:
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DAT-M-MLS-AS2 Advanced Statistics 2, 6 ECTS
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DAT-M-MLS-MATH Lectures in Mathematics, 3-18 ECTS
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DAT-M-MLS-ENG Data Engineering, 6 ECTS
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DAT-M-MLS-AXAI Advanced Explainable AI, 6 ECTS?
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DAT-M-MLS-DIPAI Digital Image Processing – KI-based Approaches, 6 ECTS
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FIDS-WI-IB-M05 Neuronale Networks: An Application-oriented Intorduction, 6 ECTS
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DAT-M-MLS-AMLS Advanced Topics in Machine Learning and Statistics, 3-12 ECTS
When can I take which specialization course during my studies? Our exemplary courses of study show you in which semester which courses are offered.
Computational Life Sciences
Are you passionate about combining biology with technology? A specialization in Computational Life Sciences equips you with the essential skills to tackle the challenges of modern biology through data science and computational tools. During this program, you’ll gain expertise in bioinformatics, data analysis, machine learning, and biological modeling.?This specialization prepares you for exciting career opportunities in fields like biotechnology, pharmaceuticals, healthcare, and environmental science. With roles such as data scientist, computational biologist, bioinformatician and positions in drug discovery and personalized medicine, you'll be at the forefront of innovative research and technology-driven solutions.
You can complete the specialization in Computational Life Sciences
by passing the compulsory modules
- INF-M-BINF-BIOL Biology for Computer and Data Scientists, 6 ECTS?
- DAT-M-CLS-STATBIO Statistical Bioinformatics, 6 ECTS
- INF-M-BINF-RSRCH Research Project in Bioinformatics, 18 ECTS
and compulsory elective modules totalling?at least 12 ECTS from the following range of modules at your own choice:
- INF-M-BINF-ALGBIO Algorithmic Bioinformatics, 6 ECTS
- DAT-M-CLS-HIGHDIM Analysis of High-Dimensional Data, 6 ECTS?
- INF-M-BINF-OPT Optimization, 6 ECTS
- INF-M-BINF-SEM Current Topics in Bioinformatics, 6 ECTS?
- INF-M-BINF-EXT Bioinformatics: International and External Studies, 3-12 ECTS.
Here you can find the exemplary courses of study for the Specialization in Computational Life Science - they show you in which semester which courses are offered.