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Institute for Data Science

Our institute focuses on generating insights and knowledge out of data.

We investigate and develop methods to generate new insights and new knowledge out of data collections in order to support people in taking informed decisions, in diverse application domains for business, science and society.

The institute is also dedicated to inform the public about chances and dangers of collecting data. The approach taken is quite traditional to data science, combining a mathematical and statistical corpus with computer science technology to handle data amounts that can be very large. The institute covers all steps of the data value chain, from the data creation to the data interpretation. Especially important for this is its participation to space instrumentation, as well as its involvement in heliophysics research


Methodologies include, on the one hand, traditional algorithms from the domains of machine learning, natural language processing and data mining. On the other hand, they also include «supporting measures» such as data visualization, data pipelines and high-perfomance computing.

Application fields

The application fields are quite diverse, ranging from building, pharmaceutical and insurance businesses up to academic topics such as astronomy. The institute is also involved in projects for the ageing society as well as science communication.

Selected projects

STIX for Solar Orbiter

The Spectrometer / Telescope for Imaging X-rays (STIX) is an X-ray telescope that makes images and spectra of solar explosions called flares. It is one of the ...

to STIX for Solar Orbiter

Yooture - The app for job seekers

The School of Engineering FHNW has developed an elaborated matching method for the innovative start-up Yooture.

to Yooture - The app for job seekers

Compressed Sensing for Solar Flares

For the RHESSI satellite we develop an algorithm to reconstruct X-ray images of solar flares.

to Compressed Sensing for Solar Flares

FHNW Myosotis Garden

Playing games with elderly people can be fun. It can facilitate communication between people from different generations.

to FHNW Myosotis Garden


Prof. Dr. André Csillaghy Head of FHNW Institute for Data Science
Telephone : +41 56 202 76 85 (direct)

FHNW School of Engineering, Brugg-Windisch

FHNW University of Applied Sciences and Arts Northwestern Switzerland School of Engineering Bahnhofstrasse 6 CH - 5210 Windisch
More information about the location
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