Data Science

Aalto University Undergraduate Centre Otaniemi, image: Tuomas Uusheimo

Big data and computational data analysis (incl. computational sience, machine learning, probabilistic modeling, complex systems, pattern recognition, statistical signal processing, business intelligence) is a key strong area at Aalto.

We live in the information age, where large volumes of data are being generated continuously by human activity, scientific processes, business transactions, and adoption of new technologies.

Distilling the knowledge contained in such data has the potential to transform science, technology, business, and arts, and to revolutionize how the human society is organized and how it functions.

Data science is an emerging discipline that aims to provide the underlying theory and the necessary tools to cope with the data revolution. To accomplish this goal, data science builds on techniques and theories from many fields, including mathematics, statistical learning, machine learning, data engineering, decision analytics, signal processing, visualization, and high performance computing.

Aalto's key professors in big data and computational data analysis include:

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