Master of Science program in Social Data Science (MS SDS)

EARLY BIRD APPLICATION FOR 30% DISCOUNT

How does the Internet change Society? How to follow, forecast and control the spreading of a pandemic? How to achieve larger participation of people in the decision-making processes using new technologies? 

Our digital era in the 21st century calls for data-driven reasoning to answer these and other similar new societal, organizational, and environmental challenges. In response, the MS program in Social Data Science aims to educate a new generation of data science experts, entrepreneurs, and policy makers with a strong affinity to the social sciences, who are able to understand digital societies and will be able to shape their future. 

Why MS in SDS at CEU?

  • English language data science program with a focus on the social sciences 
  • Degree with a global recognition that is accredited in Austria and the U.S. 
  • Specializations in four interdisciplinary tracks
  • High-quality yet affordable degree
  • We develop employable graduates: CEU is perfect if you're looking to boost your employability skills and pursue a meaningful career with a deeper purpose

1-year and 2-year programs

Tailored to the unique ambitions of a student, we offer and 2-year full-time programs both accredited in Austria and the U.S. While the 2-year program offers the full Master program training (120 ECTS, 60 credits) in Social Data Science, the 1-year pogram (60 ECTS, 30 credits) allows to complete your studies after an undergraduate or graduate program.

PDF icon Download the program structure and course list

What will you gain from this program?

In our MS in SDS, you will learn to collect and analyze big data of social processes to understand the digital world with a socially responsible and critical approach.

  • A comprehensive top-level understanding of the core computational social science methods combined with cutting-edge data science tools to approach societal, organizational, or data industry problems.
  • Improved understanding of what makes for good data science, and how the evidence should be used in effective decision making in business, government, law, administration and just about every other field.
  • The MS in Social Data Science program will provide you with the most sought-after skills on the data science labor market, while CEU will give you the best place to learn about the most pressing societal or environmental challenges from world-class experts in several fields of the social sciences.

Develop the best skills to accelerate your career

In this program you will master state-of-the-art computational skills for the collection, curation, processing, preparation, and analysis of data. You will develop a high level of proficiency in methods from applied statistics, machine learning, web mining, network analysis, visualization, spatial analysis, natural language processing, and many more. You will be able to understand and model complex, networked, dynamic, social, economic, political, technological, and ecological systems with a critical reflexion on the advantages and dangers of data driven methodologies.

Choose your own track for your future  

Beyond becoming an expert in social data science, you will be able to choose among five tracks that we offer. Do you strive to become a data science professional or an entrepreneur in the data industry? Choose our professional track in Applied Social Data Science! Do you envision your future in academic research? Specialize in one of our academic tracks in Economics, Environmental Science or Political Science and Policy! Our students complete their study with exciting research internships in research teams, companies, and international organisations. 

Study in Vienna, the Heart of Europe

The Social Data Science program is a Master of Science degree program simultaneously accredited in the U.S. and Austria, providing a degree with both accreditation at once. Join CEU, a leading research institution in social sciences in Central Europe where students work under close supervision and enjoy the support of world-class researchers. We are committed to promoting the values of open society, self-reflective critical thinking and academic freedom. You will study in Vienna, the capital of music, a new business hub of Europe and, according to the Economist Intelligence Unit, the world’s most livable city.

Program Specific Requirements and Application

Bachelor’s degree in one of a broad range of disciplines, including computer science, data science, physics, economics, environmental science, political science, and sociology. 

  • Strong interest in interdisciplinary research 
  • Demonstrated ability to do quantitative studies
  • Proof of GMat exam (except for students with degree from quantitative programs like Mathematics, Physics, Computer Science, Statistics, Economics, etc.)
  • Proof of English proficiency
  • Detailed account of earlier studies 
  • Two recommendation letters 
  • Motivation letter (max. 2 pages)

For more details about the application requirements visit How to Apply.

Submit your application for September 2023 by

- Jan 2 for Early Bird application to obtain 30% tuition discount

- Feb 1 if you seek financial aid 

- March 15 if you’re aself-financing master’s applicant from non EU/EEA country and require a study visa for Austria 

- August 15 if you’re aself-financingmaster’s applicant with citizenship or permanent residency in an EU/EEA country 

We follow a rolling admission model where we evaluate and decide on applications as we receive them.

Tuition, Scholarship and Internship Programs

The MS in Social Data Science tuition fee is €6,000.

Access to education is one of CEU’s core values. It guides us in setting as affordable tuition fees as possible - without impacting the quality of the education we provide. Each year CEU offers talented master’s students generous, merit-based, partial tuition awards and scholarships through Financial Aid to help them focus on their studies.

Do you want to learn more about the MS SDS program?

  • Register and receive up-to-date information about the program.

SIGN UP

Do you want to apply to the MS SDS program?

Learn more about the detailed application guidelinesadmissions information, and the application checklist.

START YOUR APPLICATION NOW

Do you have any question?

CONTACT US

Apply Early Bird and get 30% discount

  • Early Bird deadline: 2 January, 2023

EARLY BIRD APPLICATION

Márton Karsai

Associate Professor

Porgram Director of MS SDS

Petra Kralj Novak 

Assistant Professor 

Balázs Vedres

Professor

Teaching:

Social Data Mining
Digital Data Collection Methods

Teaching:

Introduction to Machine Learning
Advanced Machine Learning

Teaching:

Conception of Social Dynamics
Social Networks