MS in Social Data Science / 2 years
During Social Data Science (2 Years) at Central European University (CEU) you learn to collect and analyze social big data to understand the digital world with a socially responsible and critical approach.
Duration
2 years
Starting Date
September
Application Deadline
1st of February
Tuition Fee
€ 12,000 per year
Location
Vienna, Austria
Degree
Dual Austrian and the U.S. degree
Earn a valuable degree
During Social Data Science (2 Years) at Central European University (CEU) you learn to collect and analyze social big data to understand the digital world with a socially responsible and critical approach.
Students of Social Data Science (2 Years) at Central European University (CEU) study computational social science by combining cutting edge data science tools with approaches of social sciences. The MS SDS program will provide you with the most wanted skills on the data science market including methods of behavioral data collection, machine learning, advanced statistics, data ethics and more.
Structure:
- Explore Big Data / efficient ways to analyze, model and visualize networks with millions of people
- Understand Social Processes / friendships and phone calls, the spread of ideas and the emergence of order from chaos
Spark your career
The courses of the MSc program are organized in three main modules on Fundamental Methods of Data Science, Advanced Methods and Concepts and Specialization. During the program, students will be able to follow the academics or Applied Social Data Science track, training them for different career paths accordingly. While the core mandatory courses highly overlap between these tracks, the modular structure offers flexible choices of elective courses for students who will be able to specialize according to their interest. Every student will have a research internship at the end of the first year and will complete a capstone project to obtain the degree. Goals of these projects are to apply knowledge and research in a new environment, gaining experience and building connections in an academic research group or in a data-oriented company.
Graduates will represent a new generation of scientists, entrepreneurs, and policy makers with knowledge about the fundamental questions and cutting-edge methods in data science with simultaneous sensitivity to socially relevant issues. The program will help them develop independent and critical thinking and actionable skills to address actual social problems like inequalities and segregation, migration, corruption, populism, fake news, environmental problems, and the social consequences of Artificial Intelligence.
Apply
Admissions requirements:
- Bachelor’s degree in one of a broad range of disciplines, including computer science, data science, physics, sociology, environmental science, public policy, political science or economics
- Strong interest in interdisciplinary research
- Demonstrated ability to do quantitative studies
- Detailed account of earlier studies
- Statement of purpose
Application deadlines:
- February 1, 2025 for master’s and PhD studies with financial aid
- March 15, 2025 for self-financing master’s candidates who will require a study visa
- August 15, 2024 for self-financing master’s candidates who will not require a study visa