|Study location||Hungary, Pécs|
|Type||Master, full degree studies|
|Nominal duration||4 semesters (120 ECTS)|
|Course code||Social Science|
Bachelor diploma (or higher)
BA diploma from the field of Sociology or related social sciences field is required.
The entry qualification documents are accepted in the following languages: English / Hungarian.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
Applications are accepted from the following territories (based on citizenship): Albania, Algeria, Argentina, Armenia, Azerbaijan, Bangladesh, Belarus, Belize, Bolivia, Bosnia & Herzegovina, Brazil, Burundi, Cambodia, Chile, China, Colombia, Congo - Kinshasa, Costa Rica, Cuba, Dominican Republic, Ecuador, Egypt, El Salvador, Georgia, Ghana, Honduras, India, Indonesia, Iran, Iraq, Japan, Jordan, Kazakhstan, Kosovo, Kuwait, Kyrgyzstan, Laos, Lebanon, Liberia, Madagascar, Malaysia, Maldives, Marshall Islands, Mexico, Moldova, Montenegro, Morocco, Namibia, North Macedonia, Oman, Pakistan, Panama, Peru, Philippines, Russia, Serbia, Seychelles, Sierra Leone, Singapore, South Africa, South Korea, St Lucia, State of Palestine, Syria, São Tomé & Príncipe, Taiwan, Tajikistan, Thailand, Tunisia, Türkiye, Ukraine, United Arab Emirates, Uruguay, Uzbekistan, Venezuela, Vietnam, Yemen.
Accepted proof of proficiency: FCE or CAE, IELTS 5.5+ or TOEFL (iBT internet-based): 72 points (www.ets.org/toefl) / Cambridge ESOL: B2 level (www.cambridgeenglish.org) / TELC: B2 level (www.telc.net/en.html) / ECL: B2 level (www.ecl-test.com/) / Duolingo English Test: 110 points (englishtest.duolingo.com/scores)
You do not have to submit an official English test result if one of the following criteria applies to you: English is your native language / You have continued your undergraduate studies in English / You have participated in a preparatory course organised by the University of Pécs or any other Hungarian institute (You have to submit the official transcript of your preparatory studies)
A motivation letter must be added to your application.
- Certified and translated (if originals are not in English) copy of BA Degree and transcript
“The MA program in Sociology (Data Analytics) at the University of Pécs, Department of Sociology offers students the opportunity to address social, demographic and policy issues from an applied research perspective. We focus on providing students up-to-date courses on social theories and social problems which serve as the basis for planning and conducting empirical research, utilizing quantitative and/or qualitative data from multiple sources. The goal of the program is to train experts who possess skills to address social problems and opportunities, excel in data analytics, and can visualize and communicate research results for various audiences. The applied knowledge our students gain is sought after by employers in multiple domains and is key to contemporary academic research.
Throughout the four semesters of our program, lectures and interactive seminars offer theoretical studies ranging from the classics to contemporary social theories covering key topics of sociology such as education, gender, media, urban, rural and demographic processes. Courses on empirical methods assist students in acquiring high-level knowledge in an applied setting, with a track of seminars dedicated to independent research projects covering the whole research spectrum from the formation of a study topic to the selection of research methods, their implementation in data analysis, culminating in the presentation and dissemination of research results on diverse platforms. Students looking for careers in and outside academia receive career coaching to realize their plans.
As the MA program in Sociology specializes in Data Analytics, several courses will be dedicated to the theory and application of statistical methods in academic and non-academic scenarios. Students will learn to use multiple methods at an advanced level (such as classifiers, methods of dimension reduction and multivariate modeling techniques), and acquire strong skills in data visualization and interpretation using the R programming language among other available tools.
Type of entrance exam:
Entrance exam location:
Entrance exam description:
Evaluation of submitted documents, online interview and ranking of applicants
Ms. Vanda Bőczin-Sirkeci