Social Data Science (1 Year) Central European University (CEU)

Overview

The M.Sc. in Social Data Science at Central European University (CEU) is a one-year programme that merges advanced data science techniques with social science methodologies. This unique approach enables students to gather and interpret large social datasets, fostering a nuanced understanding of the digital world. The curriculum is structured to provide students with essential skills in behavioural data collection, machine learning, advanced statistical methods, and data ethics, all of which are highly sought after in the current job market.

CEU is renowned for its strong academic reputation and innovative approach to interdisciplinary studies. The university is consistently ranked among the top institutions globally, particularly in social sciences. CEU's partnerships with leading technology firms and research institutions enhance the learning experience by providing students access to cutting-edge facilities and resources. The faculty comprises experts in both data science and social sciences, ensuring a well-rounded education that prepares students for various career paths.

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

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

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

The programme is organised into three main modules, allowing students to tailor their learning experience:

• Fundamental Methods of Data Science
• Advanced Methods and Concepts
• Specialisation Track

Students can choose between an academic track or an applied social data science track, providing flexibility in their studies. Core courses are complemented by elective options, allowing for specialisation in areas of personal interest.

The skills acquired through the M.Sc. in Social Data Science are in high demand across various sectors, including technology, finance, and public policy. Graduates are well-prepared to enter roles that require advanced analytical capabilities and a deep understanding of social dynamics in the digital age.

Alumni of the Social Data Science programme have found employment in diverse fields, including technology firms, governmental agencies, and non-profit organisations. Graduates are equipped to take on roles such as data analysts, social scientists, and policy advisors, leveraging their expertise to influence decision-making processes and drive social change.