Master's degree studies in computer science popular among international applicants

Master's degree programmes in computer science at the University of Helsinki were very popular among international applicants in spring 2010. This academic year the department of computer science at the University of Helsinki decided to offer two of its Master's degree sub-programmes, namely the programme on Algorithms and Machine Learning and the programme on Networking and Services, completely in English from the beginning of Autumn term 2010. It had been observed at the department that many of the Finnish students do not want to continue their studies after completing their Bachelor degree. Therefore, it was thought that making the programmes international would keep the number of Master's degree students high enough to guarantee that the teaching programme at the Master's level would be at least as comprehensive and varied as it is nowadays, and that teaching could be integrated more to the research done at the department. Information on these programmes had apparently reached the target group well, and this spring a record number of applications was sent to these Master's degree programmes as well as for the Finnish-Russian Cross-Border University Master's degree programme in Information and Communication Technology (CBU-ICT) and for the Master's degree programme in Bioinformatics (MBI).

An especially large number of applications were sent for the two Master's degree programmes in computer science. The number of applicants for these programmes was over 270 (over 70% of the applications submitted to different degree programmes at the Faculty of Science). After the first level of processing done by University Admission Finland (UAF), 193 applications were sent to the department for further processing. Of these applications, 140 were directed to the programme on Networking and Services and 53 to the programme on Algorithms and Machine Learning. The numbers of applications for the CBU-ICT and MBI programmes that passed the processing of UAF and were sent to the department were 130 and 68, respectively. This year was the first time that it was possible to send an e-registration for the CBU-ICT programme, which might, at least partly, explain the rise in the number of submitted applications for this programme.

There were no restrictions set in advance for the number of applicants that could be accepted as new students for the two Master's degree programmes in computer science. At the second level of processing of the applications, i.e., student selection, it was checked that the applicants had at least academic-level skills in English and that the applicant's previous degree sufficiently corresponded to the Bachelor degree in computer science awarded by the Faculty of Science at the University of Helsinki. In addition to that, the academic record of the previous degree had to be high enough (at least 80% of the maximum level). Finally, 48 applicants (around 25% of the applicants after the first level of processing) were accepted as new students for the two Master's degree programmes in computer science: 33 students for the programme on Networking and Services and 15 students for the programme on Algorithms and Machine Learning. The majority of the applicants for these programmes were Asians (nearly 75%), and even the majority of the accepted students comes from Asia (67%). 16.7% of the accepted students are women, while their proportion of the applicants was 13.5%.

The number of new students accepted to the CBU-ICT programme, that is a joint Master's degree programme between the University of Helsinki, Lappeenranta University of Technology, the University of Eastern Finland, Petrozavodsk State University and two universities from St. Petersburg, was 10 students this year (7.7% of the applicants after the first level of processing). Similarly to the Master's degree programmes in computer science, the majority of the applicants (nearly 85%) as well as the accepted students (70%) to the CBU-ICT programme came from Asia. The proportion of female applicants for the CBU-ICT programme was, however, 26.2%, and of the accepted students as much as 40%.

MBI, a joint Master's degree programme between the University of Helsinki and Aalto University, in turn, decided to accept 15 new Master's degree students (22% of the applicants after the first level of processing). Five of these new students are Finnish and 10 international students. The proportion of the female applicants for this programme was 32%, whereas the proportion of accepted female students is 40%. And similarly to the other programmes, the majority of applicants (74%) for this programme came from Asia. However, the majority of the accepted MBI students (50%) comes from Europe.

Altogether, we shall have much more international Master's students at our department next autumn. Even though most of the Master's students will be Finnish, this new situation offers possibilities for preservation and development of our teaching programme as well as for gaining experience on studying and teaching in an international environment. At the beginning of August, by which time the accepted students have to submit their notice on study place acceptance, we shall know in detail how many new international Master's degree students will begin their studies at our department, and how international the Master's degree studies and the whole atmosphere at the department will become.

Text: Pirjo Moen, Coordinator of the international Master's degree programmes in computer science

Created date

03.06.2010 - 15:19

Inter-university research and training centre on information security

The University of Helsinki and Aalto University have set up a joint research centre focusing on information security. The new centre, HAIC (Helsinki-Aalto Centre for Information Security), will coordinate the Master’s-level security education between the university and Aalto, with links to research and doctoral education.

The idea is to build bridges to the industries and gain their support for the education, and e.g. grants for MSc students coming from outside the EU, the head of the Department of Computer Science, Sasu Tarkoma, says.

Computer science undergraduate Petteri Timonen awarded in US science competition

Petteri Timonen, 19, came second in his category of the Intel International Science and Engineering Fair (ISEF) in Phoenix, Arizona.

 

On Friday, 15 May, Timonen, who is studying computer science at the University of Helsinki, was awarded a grant worth 1500 USD, some 1330 euros, in the Systems Software category of the Intel ISEF science competition.
 
As his entry, Timonen submitted a software tool he developed for Finland’s Red Cross to make mobile blood runs around the country as cost-effective as possible. Timonen implemented his tool in cooperation with the Blood Service.

The tool has gained international attention, as no tool like it seems to have been developed anywhere else. Timonen has also negotiated with the American Red Cross by email.

Renewed Carat App Gives a Smart Boost to Battery

 
The Carat Project Team at the University of Helsinki, Department of Computer Science, has published a new version of the popular mobile energy-awareness application.

After launch in June 2012, Carat has helped over 850,000 users, of which 41 per cent have been Android and 59 per cent iOS users, respectively. The new user interface follows modern application design guidelines and presents battery information in a more intuitive and easy to use manner.

- In addition to the new user interface, we have increased the accuracy of the energy saving recommendations of Carat, says Professor Sasu Tarkoma, the leader of this research done at the university.

The user interface features the number of energy intensive applications (Hogs), energy anomalies (Bugs) and user recommendations (Actions) at a glance on the main screen as well as global energy statistics for the device community.

Cover Song Identification Using Compression-based Distance Measures

M.Sc. Teppo E. Ahonen will defend his doctoral thesis Cover Song Identification Using Compression-based Distance Measures on Friday the 1st of April 2016 at 12 o'clock in the University of Helsinki Exactum Building, Auditorium CK112 (Gustaf Hällströminkatu 2b) His opponent is Academy Professor Petri Toiviainen (University of Jyväskylä) and custos Professor Esko Ukkonen (University of Helsinki). The defence will be held in Finnish.

Measuring similarity in music data is a problem with various potential applications. In recent years, the task known as cover song identification has gained widespread attention. In cover song identification, the purpose is to determine whether a piece of music is a different rendition of a previous version of the composition. The task is quite trivial for a human listener, but highly challenging for a computer.