Social Data Science - Uni4edu

Social Data Science

Közgáz Campus, Hungary

5400 / years

Master's & Postgraduate12 months
Corvinus University of Budapest historic neo-renaissance main building on the banks of the Danube river, with students walking near the entrance, sunny day in Budapest, Hungary
Master

Master of Science in Social Data Science

Corvinus University of Budapest

Social Data Science

Duration1 Year (2 Semesters)
LanguageEnglish
FormatFull-time
LocationBudapest, Hungary

Program Overview: MSc in Social Data Science

The MSc in Social Data Science at Corvinus University of Budapest trains you to use computer science and statistics to analyse social phenomena and uncover insights that help shape the world. You will learn to manage databases and conduct causal, network, and predictive analyses from a social science perspective, developing the ability to ask the right questions and identify meaningful patterns.

This interdisciplinary programme explores how ideas, movements, and trends spread, the causes of economic growth and inequality, and why some teams, firms, and cities succeed. It combines computational, statistical, and social science skills in a way that prepares you to critically approach any problem where data science can have value.

Coordinated by the Department of Network Science within the Institute of Data Analytics and Information Systems, the programme leverages Corvinus's strengths in economics, social sciences, and data analytics. Upon completion, you will be equipped with a distinctive skill set that opens doors to careers in data analysis, research, policy-making, and entrepreneurship.

Key Program Highlights

  • Interdisciplinary training combining social science, computer science, and statistics in a unique curriculum
  • Develop skills in network analysis, spatial data, text analytics, and causal inference enhanced by AI
  • Study at Hungary's leading university in business, economics, and social sciences with AACSB and AMBA accreditation
  • Compact one-year programme delivered entirely in English in the heart of Budapest

Curriculum and Modules

The MSc in Social Data Science curriculum is designed to provide a rigorous foundation in data-driven methods applied to social phenomena. Over two semesters, you will progress through core modules covering computational tools, statistical techniques, and social science theory, culminating in a master's thesis that demonstrates your analytical expertise.

Causal Inference and Econometrics

Learn to identify cause-and-effect relationships in social and economic data using advanced econometric methods. This module equips you with the tools to distinguish correlation from causation in complex datasets.

Network Science

Explore the structure and dynamics of social, economic, and geographic networks. You will learn to model how information, innovations, and behaviours spread through interconnected systems.

Spatial Data Analysis

Develop skills in analysing geographically referenced data to uncover spatial patterns in social and economic phenomena. This module covers GIS tools and spatial statistical methods.

Text and Natural Language Processing

Learn computational techniques for extracting insights from unstructured text data. Topics include sentiment analysis, topic modelling, and the application of AI to large-scale text corpora.

Predictive Analytics and Machine Learning

Master predictive modelling approaches including supervised and unsupervised machine learning algorithms. You will apply these methods to real-world social science problems and evaluate model performance.

Master's Thesis

Conduct an independent research project applying data science methods to a social science question of your choice. The thesis demonstrates your ability to formulate research questions, analyse data, and communicate findings.

Elective Modules

Economics of Innovation and Diffusion Computational Social Science Database Management and Big Data Data Visualisation and Communication

Admission Requirements

Admission to the MSc in Social Data Science at Corvinus University of Budapest is competitive and based on academic qualifications and demonstrated aptitude. All applications and inquiries are handled through Uni4Edu, which will guide you through every step of the process.

Academic Requirements

  • Undergraduate DegreeA completed bachelor's degree in social sciences, economics, business, computer science, statistics, mathematics, or a related field
  • Academic PerformanceA strong academic record in your undergraduate studies; contact Uni4Edu for specific GPA requirements
  • Quantitative BackgroundDemonstrated competence in quantitative methods, statistics, or programming is advantageous
  • Entrance ExaminationApplicants may be required to complete a written entrance examination; contact Uni4Edu for details
  • Motivation and FitA clear motivation for studying social data science and alignment with the programme's interdisciplinary approach

Language Requirements

  • IELTSContact Uni4Edu for minimum score requirements
  • TOEFLContact Uni4Edu for minimum score requirements
  • Alternative TestsGMAT, GRE, or NMAT scores may also be accepted; contact Uni4Edu for details

Required Documents

Completed application form via Uni4Edu Certified copy of bachelor's degree and academic transcripts Valid passport or national identity document Curriculum vitae (CV) and motivation letter Proof of English language proficiency or standardised test scores

Application Deadlines

Early Bird Round
Regular Round
Late Round

For personalized admission guidance, document verification, and application support, please contact Uni4Edu

Scholarships and Funding

Corvinus University of Budapest offers several funding opportunities to support talented international students. Financial status should not be a barrier to accessing this programme, and Uni4Edu can help you identify and apply for the scholarship that best fits your profile.

Stipendium Hungaricum Scholarship

Full tuition coverage plus monthly stipend and accommodation support

A prestigious Hungarian Government scholarship available to students from over 90 non-EEA countries. It covers full tuition fees, provides a monthly living allowance, accommodation support, and medical insurance for the duration of the programme.

Corvinus Scholarship

Up to full tuition fee coverage

An institutional merit-based scholarship that can cover the full cost of tuition for the duration of the programme. Up to 20 students per programme may receive this award, allocated on a first-come, first-served basis among qualifying applicants.

Tuition Fee Discounts

10% to 30% off first-year tuition

Corvinus offers an early bird discount of 10% for applicants who apply and complete entrance requirements early, a 30% alumni discount for Corvinus graduates, and a 20% discount for students who initially applied through Stipendium Hungaricum but were not awarded the scholarship.

For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.

Career Prospects

Graduates of the MSc in Social Data Science are well-prepared for data science and analytics roles across a wide range of organisations. The programme's distinctive combination of social science insight and technical data skills positions you for high-demand careers in the private sector, government, NGOs, and international institutions.

90+ Countries represented by Stipendium Hungaricum partner network
170+ Partner institutions for global exchange opportunities
11,000+ Students in the Corvinus community

Potential Career Paths

Data Scientist Social Data Analyst Policy Research Analyst Network Science Researcher Business Intelligence Analyst Data Strategy Consultant

Types of Employers Hiring Graduates

World Bank OECD International Monetary Fund (IMF) United Nations Major consulting firms and tech companies Government ministries and public policy institutes

Rankings and Recognition

Corvinus University of Budapest is Hungary's leading institution in business, economics, and social sciences, holding both AACSB and AMBA accreditation — placing it among the top 2% of business schools worldwide. The university is internationally recognised for its research output and the quality of its graduate programmes.

QS World University Rankings
#1001-1200
2025
QS EECA Rankings
#68
2025
QS International Trade (Executive MBA)
#20
2025
Financial Times European Business Schools
Top 100
2019
SubjectRanking BodyRank
Business and Management StudiesQS World University Rankings by Subject#351
Economics and Social SciencesQS World University Rankings by Subject#350
EconomicsEduRank#949 globally, #4 in Hungary
Computer ScienceEduRank#2375 globally, #10 in Hungary

How to Apply

Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.

1

Contact Uni4Edu

Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.

2

Prepare Your Documents

Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.

3

Submit Your Application

Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.

4

Receive Your Offer

Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.

Contact Uni4Edu

corporate@uni4edu.com
+90 5435286292
+44 7868736984
Apply Now

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