Jure Plaskan holds a degree in Cultural Studies and a Master's degree in Social Informatics. During his Master's studies, he acquired methodological skills that are now useful to him in his work as a researcher.
Why do you think it is useful to continue your studies in the Master's programme in Social Informatics? (You can also think in a broader context about continuing your studies in general and link it to the SI programme; What doors did your studies at second level open for you?)
I think the biggest benefit of the Master's in Social Informatics is that it is complementary to many other undergraduate programmes in the social sciences (and perhaps beyond). Students can acquire or upgrade skills - data analysis, methodological skills, applied statistics, etc. - at the Master's in Social Informatics. I think that a social scientist, whatever his/her field of work, needs to be able to find, collect, analyse and ultimately present relevant data in today's digital society. The advantage of the programme, especially now that the curriculum has been renewed, is also that the studies can be much more focused and students can ultimately be trained for professions that are undoubtedly in high demand.
What competences did you acquire during studying Social informatics at second level (Master's degree)?
Given that I did not attend the bachelor's degree in SI myself, the main thing that stood out for me was that I was able to relearn and upgrade my skills in statistics, the use of SPSS, methodological skills, etc.
What did you like most during your studies?
The one that I remember the most was the opportunity to do an internship as part of a research project carried out by the Centre for Methodology and Informatics for Cankarjev dom. Especially because the topic was relevant to me both as a SI student and as a graduate of Cultural Studies.
How does the knowledge you gained in the Social Science Informatics course help you in your workplace?
I would certainly have found it much more difficult to work as a researcher without the methodological skills I learned mostly on the SI programme. I also need to have good knowledge of Excel and SPSS. Above all, I feel that my years of study at the FDV - not only in the SI Master's programme, but also in the Cultural studies Bachelor's programme - have given me the ability to find relevant literature or scientific articles, and to comb through them in a timely manner and extract key information from them.
What role do you think social informatics will play in the digital society of the future?
The digital society is already here, and from this point of view, SI will play an increasingly important role. For example, more and more data is being generated and data analysts will be increasingly in demand. Similarly, the development of web or mobile services is already important for every company, and staff who are able to analyse user experience, digital marketing, etc. will be particularly sought-after. Furthermore, digital technologies have become an indispensable tool for social science research in virtually any field. At the same time, there is a need to study the changes in society and in cultural practices that are being brought about by widespread digitisation. I also see here an opportunity for further expansion of the SI programme at FDV (and ultimately greater integration with other programmes at the Faculty) - I myself missed more emphasis on courses that dealt in more detail with the study of digital society in the MA; I think the same is true of the current curriculum.
If you were to decide to enrol in a second cycle (Master's), would you choose to study SI again and why?
I find it quite difficult to answer such questions, because the fact is that I did not like certain things, but on the other hand I realise that I would have a hard time finding a programme that suited me perfectly. However, given my current interests, I can say that I would be interested in the Data Analytics module (which did not exist when I was studying). This is because the module gives more attention to the competences that I think are most important for my future career path - e.g. data mining, database analysis, statistical programming, etc.
Back to list of notificationsPublished: 04. May 2022 | Category: Notifications, Careers