Data infrastructures for the future – robust, scalable and future-proof
Research focus areas
Our research in this field explores how to design and implement robust and scalable data infrastructures for the reliable management of large and complex data sets. This includes the development of automated data pipelines that enable the efficient processing, integration and storage of data from heterogeneous sources.
Our expertise covers the preparation, cleansing, transformation and extraction of data – with the objective of building reliable platforms for data-driven analytics, whether for machine learning, visualisations or statistical analysis.
We place particular emphasis on reproducibility, maintainability and the long-term scalability of our systems.
We act as a technical partner for projects in which the efficient organisation, structuring and preparation of data are central – ranging from foundational research to industrial-scale data processing.
Projects
SKACH – The SKA Switzerland Consortium
- Institute
- Institute of Data Science
- Research field
- Astroinformatics and Space Sciences, Data Engineering
STIX for Solar Orbiter
- Institute
- Institute of Data Science
- Research field
- High-Performance Computing (HPC), Data Engineering, Astroinformatics and Space Sciences
Euclid Space Telescope – dark energy and dark matter
- Institute
- Institute of Data Science
- Research field
- Astroinformatics and Space Sciences, Data Engineering, High-Performance Computing (HPC)
Optimizing hydro power plant maintenance planning
- Institute
- Institute of Data Science
- Research field
- Electrical engineering, Data Engineering
Degree programmes offerings
BSc Data Science & Artificial Intelligence
- Studying mode
- Practice-integrated bachelor's degree program (PiBS), Part-time/work-study, Full-time
- Teaching language
- German, English
- Place
- Brugg-Windisch
- Next start
- 1.3.2027
BSc Security, Platforms & DevOps
- Studying mode
- Practice-integrated bachelor's degree program (PiBS), Part-time/work-study, Full-time
- Teaching language
- German, English
- Place
- Brugg-Windisch
- Next start
- 1.3.2027
BSc Computer Science
- Studying mode
- Practice-integrated bachelor's degree program (PiBS), Part-time/work-study, Full-time
- Teaching language
- German, English
- Place
- Brugg-Windisch
- Next start
- 1.3.2027
Continuing education offerings
No results found.
Contact us
For further information about the School of Computer Science FHNW or to discuss a potential collaboration, please contact us:
