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 including 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 they will develop into independent researchers, with the ability to contribute to network science with analyzes and modeling empirical data.
Doctoral enrollment may continue up to a maximum of six years. Students admitted into CEU doctoral programs are eligible to receive the CEU Doctoral Fellowship for up to three years. Numerous additional funding opportunities exist.
Sample Courses for the Doctoral Program
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
Topics in network science, Economic networks, Agent based modeling, Simulation methods, Similarity Based Networks
Entry Requirements for the Doctoral Program
We expect 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