UiO Data Science is a community for researchers and users of data science. While most of the research activity takes place at the Faculty of Mathematics and Natural Science, other faculties, departments, centres and projects are actively involved.
The purpose of these web pages is to collect information on data science related activities, research, courses and competence at the University of Oslo. The pages are intended for students and researchers, as well as for a general audience interested in the creation of understanding and value from large and complex data in public and private sector.
The University of Oslo offers many opportunities for those seeking an education and career in Data Science. We offer a wide selection of topics in Data Science and related disciplines.
From autumn 2017, there is a specialisation in Data Science in the Mathematics with informatics bachelor program. As of autumn 2018, we offer a master program in Data Science.
The DataScience@UiO Advisory Service is a service available to students and staff engaged in research at the University of Oslo. We provide free, face-to-face advice sessions to help you tackle your data science problems.
The Advisory Service is provided by the DataScience@UiO Innovation Cluster in collaboration with BigInsight and SIRIUS. Our group of advisors consists of PhD Research Fellows from DataScience@UiO and senior research staff from BigInsight and SIRIUS.
UiO hiring Data Scientist for Associate Professorship
Apr. 9, 2019 12:52 PM
UiO is hiring an associate professor in Statistics and Data Science with emphasis on Machine Learning.
[Titan] "Data Science and Computing" - fra stort til større ved Universitetet i Oslo
Apr. 5, 2019 3:41 PM
Data Science får en sentral plass i UiOs fremtid. MatNat-fakultetets nye strategi gir mye oppmerksomhet til "Data Science and Computing".
[Titan] Minister of Digitalisation opens Data Science Lab
Mar. 29, 2019 4:02 PM
Nikolai Astrup, Minister of Digitalisation, opens Data Science Lab to bring together researchers, established industry and start-ups.
[Apollon] Unngår skipskatastrofer med avansert statistikk (Norwegian)
Feb. 1, 2019 12:00 AM
Using statistical methods, it is possible to reduce the probability of disasters at sea. The challenge is interpreting the large amount of data being streamed from the many sensors of a large ship. If we can do this, we can give warning in time.