Social Sciences and Computing

University of Belgrade

Level:  master academic studies
Upon end of the studies student will receive a title: master in Social Sciences and Computing
The graduate study programme Social Sciences and Computing at the University of Belgrade is designed as a programme in which students who have finished undergraduate studies in some of the fields of social sciences (legal science, economics, philosophy, psychology, sociology, demography, etc.), would acquire the use of contemporary computing technologies in social sciences. Due to this, the programme has in its offer several courses related to the use of contemporary computing technologies, as well as more courses related to various fields of social sciences in which the use of contemporary computing technologies makes an important part. The total number of ECTS credits for this one-year study programme is 60. To enrol in this study programme, a student is assumed to have finished undergraduate studies in some fields of social studies and has earned 240 ECTS credits. All courses in this study programme last one semester. The curriculum includes 2 required courses, 3 elective courses, mandatory internship, qualification paper (term paper) and master thesis. All courses are worth 6 ECTS credits, the qualification paper 8 ECTS credits, internship 4 ECTS credits, and master thesis 15 ECTS credits.


Goals of study program

The objectives of the graduate academic study programme Social Sciences and Computing at the University of Belgrade are:
  • Improvement of theoretical and practical knowledge required for the students who have finished undergraduate studies at the faculties of social humanities orientation for work in their field, with intensive use of modern technologies;
  • Deepening of knowledge in the field of computing and quantitative methods, as well as mastery of application of modern software and Internet technologies in activities dedicated to experts from various fields of social sciences;
  • Enabling students at the undergraduate studies of one of social sciences to achieve a better insight into the way in which their disciplines develop today in the world, using current computer technologies;
  • Providing practical experience in using modern software packages and tools, Internet technologies and services which go beyond the basic use of computer, both in the individual engagement and team work, by involving students in current and new practical projects;
  • Providing a foundation for work on research activities, as well as further education through relevant PhD study programmes.


Outcome of study program



Prerequisite for attending study program

Only students who have earned at least 240 ECTS credits during the undergraduate studies can be enrolled in this study programme. There are no constraints in terms of previously earned degree title from the undergraduate studies, but the students are expected to be familiar with some fields of social sciences. The students do not take a qualification exam. The list of applicants approved to enroll is created based on the candidates' GPA (achieved during undergraduate studies), the time they took to complete undergraduate studies, and the interviews to be conducted with the candidates. The maximum number of enrollees is 35.
Modules on this study program:
Name Acronym Semester Module info
MA-RDN-S -
Subjects lectured on this study program:
Acronym Name ECTS Semester Module Type External URL
RDN004 Analysis and data visualization 6.0 1 MA-RDN-S elective
RDN017 An analysis of investments in securities 6.0 1 MA-RDN-S elective
RDN028 Application of information systems in financial mathematics 6.0 1 MA-RDN-S elective
RDN023 Application of the theory of samples in the social sciences 6.0 1 MA-RDN-S elective
RDN018 Computer Aided Learning 6.0 1 MA-RDN-S elective
RDN003 Computer analysis of social networks 6.0 1 MA-RDN-S elective
RDN019 Computer and Music 6.0 1 MA-RDN-S elective
RDN012 Cyber Crime 6.0 1 MA-RDN-S elective
RDN005 Demography and new information technologies 6.0 1 MA-RDN-S elective
RDN008 Digital Humanities 6.0 1 MA-RDN-S elective
RDN020 Digital libraries 6.0 1 MA-RDN-S elective
RDN029 Digitizing and tradutology 6.0 1 MA-RDN-S elective
RDN009 Digitizing and transdisciplinary in the humanities 6.0 1 MA-RDN-S elective
RDN014 Forecasting methods and decision-making 6.0 1 MA-RDN-S elective
RDN025 Human resource development and information and communication technologies 6.0 1 MA-RDN-S elective
RDN021 Information theory and processing language 6.0 1 MA-RDN-S elective
RDN007 Introduction to Cognitive Linguistics 6.0 1 MA-RDN-S elective
RDN026 Knowledge management and information and communication technologies 6.0 1 MA-RDN-S elective
RDN011 Legal and ethical aspects of information and communication technologies 6.0 1 MA-RDN-S elective
RDN016 Measuring the Information Society Development 6.0 1 MA-RDN-S elective
RDN001 Modern computer technology 6.0 1 MA-RDN-S obligative
RDN006 Organization of Research and Statistics 6.0 1 MA-RDN-S elective
RDN010 Programming for linguists 6.0 1 MA-RDN-S elective
RDN013 Quantitative methods in economics 6.0 1 MA-RDN-S elective
RDN002 Quantitative modeling in the social sciences 6.0 1 MA-RDN-S obligative
RDN024 Regulation of content and the freedom of expression on the Internet 6.0 1 MA-RDN-S elective
RDN027 Risk management in actuarial science 6.0 1 MA-RDN-S elective
RDN034 Social media and digital marketing campaigns 6.0 1 MA-RDN-S elective
RDN022 Social psychology Cyber ​​space 6.0 1 MA-RDN-S elective
RDN015 Sustainable development and communication technologies 6.0 1 MA-RDN-S elective
RDN009 6.0 1 MA-RDN-S elective
RDN033 6.0 1 MA-RDN-S elective
RDN031 Access work 10.0 2 MA-RDN-S obligative
RDN032 Master's Thesis 15.0 2 MA-RDN-S obligative
RDN030 Professional practice 5.0 2 MA-RDN-S obligative
RDN020 6.0 MA-RDN-S elective