Data Science and AI

The Data Science division is a new division in the CSE department, reflecting how this area has grown considerably over the last years, recruiting new PhD students, post-docs and faculty members. The main research areas of the division are algorithms, machine learning, AI, and different applications of data science. The division has a solid network of collaborators, both academic and industrial, within and outside Göteborg. We provide many courses in these areas, and are responsible for the Applied Data Science Master’s programme at GU. The division also offers courses in mathematical modelling, optimization and related areas.

For contact with the Data Science division, please see the staff list in the menu. 

Within the department there is also a separate unit of Data Science Research Engineers. These engineers support research projects within Chalmers with Data Science and Big Data services, through application via the Chalmers ICT Area of Advance.

What is Data Science?

Data science is concerned with how to extract useful knowledge from data, and draws on methods especially from statistics and computer science, often with a focus on the ability to handle large scale data. A particularly important subfield of data science is machine learning, in which a computer is programmed not mainly through rules provided by the programmer, but through generalization from large datasets. The computer can then learn to perform complex tasks without being explicitly programmed, which significantly expands the scope of applications in which computers are useful. This includes areas of artificial intelligence (AI) where computers previously have been weak, such as pattern recognition, machine translation etc. 


We host regular seminars related to research in all kinds of data science, machine learning and artificial intelligence. The seminars are open to the public and we have speakers from both academia and industry. Also feel free to reach out to us if you have something that you believe would be interesting to present.

Keep track of upcoming seminars by joining our mailing list or checking out our calendar.

Published: Mon 18 Dec 2017. Modified: Sun 28 Apr 2019