New MSc programme in Data Science — apply now!

The University of Helsinki has established a new international Master's programme in Data Science. View a video interview here and see more information on Data Science MSc programme web pages. The call is open now and closes on January 12th, 2017.

Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. As data is collected and analysed in all areas of society, demand for professional data scientists is high and will grow higher. This interdisciplinary Data Science MSc programme will train you to work in data-intensive areas of industry and science, with the skills and knowledge needed to construct solutions to complex data analysis problems.

The Data Science MSc programme combines elements from computer science and mathematical sciences to provide you with skills in topics such as machine learning, distributed systems and statistical methods. You might also find that knowledge in a particular scientific field is useful for your future career. You can obtain this through minor studies in the MSc programme, or it might already be part of your bachelor-level degree. Upon graduating from the Data Science MSc programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills.

Created date

05.12.2016 - 11:41

The university’s team Game of Nolife won Western European programming contest for students

In the finals in Thailand in spring 2016, the students from the University of Helsinki will face the best teams in the world.

The University of Helsinki has won the inter-university NWERC 2015 programming contest that was held in Linköping recently. It was attended by 95 teams from Western Europe. The Game of Nolife team from the University of Helsinki consisted of computer-science and maths students Tuukka Korhonen, Olli Hirviniemi and Otte Heinävaara.

The Carat research team has published a dataset focusing on collaborative energy diagnostics of mobile devices and applications

 

 

The Carat research team from University of Helsinki publishes a dataset from the Carat project (http://carat.cs.helsinki.fi/) focusing on collaborative energy diagnostics of mobile devices and applications. The dataset was presented at the IEEE PerCom’15 conference last spring in the publication "Energy Modeling of System Settings: A Crowdsourced Approach" that won the Marc Weiser Best Paper Award given at the conference.

Eemil Lagerspetz was awarded a grant by the Jorma Ollila fund of Nokia Foundation on November 24, 2015

 

 
 
Eemil Lagerspetz was awarded a grant by the Jorma Ollila fund of Nokia Foundation on November 24, 2015. Congratulations!
 
The fund was launched in year 2014 to support post doctoral research career development. 
The title of Eemil’s post doctoral research is “Mind The Gap: Combining Trajectory Datasets for a Holistic Picture of Human Mobility” and the research will be carried out at the Hong Kong University of Science and Technology (HKUST) in 2016.
 

Collaborative Networking (CoNe) group researchers got the best paper award at 2nd ACM Conference on Information-Centric Networking (ICN 2015)

 

Collaborative Networking (CoNe) group researchers got the best paper award at 2nd ACM Conference on Information-Centric Networking (ICN 2015), one of the most prestigious venues for ICN research. The article entitled Pro-Diluvian: Understanding Scoped-Flooding for Content Discovery in ICN is lead by Liang Wang - a recent PhD graduate from CoNe research group, and is the outcome of collaboration with Suzan Bayhan and Jussi Kangasharju from UH, Jörg Ott from Aalto University, Arjuna Sathiaseelan and Jon Crowcroft from Cambridge University.