Doctor of Philosophy in Network Science

Program level: 
Degree awarded: 
Country of accreditation: 
United States
Program accreditation/registration: 
Program approved and registered by the New York State Education Department
Program accredited by the Agency for Quality Assurance and Accreditation Austria (AQ-Austria)
Standard Program duration: 
4 years
Type of degree: 
US degree credits: 
Austrian degree ECTS credits: 
Start of the program : 

Program Description

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 a research-oriented program. It includes training in theoretical and computational methods and 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.

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

Entry Requirements for the Doctoral Program

We welcome applications from candidates with an interest in network science and/or its applications to political science, economics, sociology and environmental sciences. The program is hosted by the Department of Network and Data Science.

  • Masters degree in: Physics, Mathematics, Computer Science, Sociology, Political Science, Economics or equivalent
  • Strong interest in interdisciplinary research
  • Detailed account of earlier studies (courses, results)
  • Motivation letter
  • Names and email addresses of two reference persons