Social Data Science (2 Years)

The Master of Science in Social Data Science (2 Years) at Central European University (CEU) is a comprehensive program designed to equip students with the skills needed to analyse social big data. This full-time course spans two years, focusing on critical and socially responsible approaches to understanding the digital landscape.

The MS in Social Data Science at Central European University (CEU) is an innovative program that prepares students to harness the power of social big data. Over the course of two years, students will engage with cutting-edge data science methodologies alongside traditional social science perspectives, ensuring a well-rounded educational experience.

Why Social Data Science at Central European University?

CEU is renowned for its academic excellence and interdisciplinary approach, consistently ranking among the top universities in Europe. The university boasts strong partnerships with various institutions, enhancing research opportunities and collaborative projects. Facilities are state-of-the-art, providing students with access to the latest technology and resources necessary for data analysis.

Tuition Fee Breakdown

The tuition fees for the MS in Social Data Science are as follows:

• International Students: EUR 12,000 per year
• European Students: EUR 12,000 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is structured into three primary modules, allowing students to develop expertise in various areas:

• Fundamental Methods of Data Science
• Advanced Methods and Concepts
• Specialisation Tracks in Applied Social Data Science or Academic Research

Students will also participate in a research internship at the end of their first year, culminating in a capstone project that applies their knowledge in real-world settings.

Industry Demand

The skills acquired through this program are in high demand across various sectors, including technology, public policy, and academia. Graduates are well-equipped to tackle pressing social issues such as inequality, migration, and the implications of artificial intelligence, making them valuable assets in today’s data-driven job market.

Careers with Social Data Science

Graduates of the MS in Social Data Science can pursue diverse career paths, including roles in:

• Data Analysis and Research
• Policy Development and Advocacy
• Social Impact Consulting
• Technology and Data Science Firms

Alumni have successfully secured positions in leading organisations, contributing to significant advancements in social data applications.

Courses include:

• Conceptions of Social Dynamics

• Applied Statistics

• Data Analysis in Python

• Social Data Mining

• Data Visualization

• Data Science of Social Sciences