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Central European University (CEU) Doctor of Philosophy in Network Science
Central European University (CEU)

Doctor of Philosophy in Network Science

Vienna, Austria

4 Years


Full time

Request application deadline *

Sep 2024

EUR 15,000 / per year **


* application deadline for doctoral programs for applicants from all countries, all applications must be complete with any applicable standard test scores (TOEFL, IELTS, GRE, etc.)

** payable in one or two installments, non-refundable initial tuition fee installment (€500 EUR) is paid to confirm your acceptance of our offer of admission and is credited towards the 1st tuition fee installment in year 1


Doctoral programs at CEU are fully funded study programs with a standard duration of 4 years that award a US and an Austrian degree.

The PhD program in Network Science is research-oriented. It includes training in theoretical and computational methods coursework on the basic notions and theories of complex networks, and hands-on experience with large datasets. Students will have the opportunity to focus on specific related fields, like mathematics, sociology, political science, or environmental science. During their research work they will participate in international research projects and by the end of their PhD studies will have developed into independent researchers, with the ability to contribute to network science with analyses and empirical data models.

The PhD program in Network Science is a research-oriented program that provides the only PhD degree in this field in Europe. Network science provides essential tools to study complex systems including society online and offline, the economy, and urban traffic. Accordingly, the program provides hands-on experience with large datasets characterizing those systems and the skills needed to analyze them. At the same time, network science is a rapidly developing new discipline with ample opportunities to do fundamental research. Within the PhD program, there are possibilities to carry out research either in applied or theoretical-methodological directions.

  • Application-oriented, data-driven research in Network Science
  • Theoretical and methodological foundations of Network Science
  • Financial networks
  • Processes on networks
  • Psychological and knowledge networks
  • Mesoscopic structures
  • Networks in political science
  • Network measurement and reconstruction
  • Urban networks
  • Temporal networks
  • Social networks
  • Multilayer networks
  • Socioeconomic networks
  • Other higher-order models of networks

Sample Courses for the Doctoral Program

Core courses

Fundamental ideas in network science; Statistical methods in network science and data management; Social networks; Data mining and big data analysis; Structure and dynamics of complex networks.

Optional courses

Topics in network science; Economic networks; Agent-based modeling; Simulation methods; Similarity-based networks.

Program Accreditation/Registration

  • The program was approved and registered by the New York State Education Department
  • Program accredited by the Agency for Quality Assurance and Accreditation Austria (AQ-Austria)


Scholarships and Funding


About the School