Central European University (CEU)

Network Science, PhD

  • Application Deadline
  • 36 months
    Duration
  • Tuition
    15000
    Tuition (Year)
    15000
    Tuition (Year)
  • English
    Language
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding

About

Students get to work with some of the most prominent network scientists in the world, and can participate in the research on the fundamentals of network structure and dynamics. They learn efficient ways of network modeling and explore terabyte-sized datasets that capture mobile phone calls between millions of individuals; financial transactions between banks and companies; energy delivery systems; or political party affiliations. The Network Science programme is offered by Central European University (CEU).

The PhD program in Network Science is a pioneering, 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 have the opportunity to focus on specific related fields, such as mathematics, economics, sociology, political science or environmental science. During their research work, they participate in international research projects. By the end of their PhD studies they develop into independent researchers able to analyze and model empirical data in academia or in various industries.

Career Path

Network scientists are employed in academia, government and business. Applied network scientists work at Internet and social media companies, where they improve users’ online experience by incorporating results of network science to the service. They also serve as consultants developing business infrastructure and specialize in risk mitigation for major financial institutions.

Detailed Programme Facts

  • Full-time duration 36 months
  • Study intensity Part-time, Full-time
    • Intensity Flexible
    • Duration part-time 72 months
  • Credits
    180 ECTS 90 alternative credits
  • Languages
    • English
  • Delivery mode
    On Campus
  • Educational Form Academic
  • More information Go To The Course Website

Programme Structure

Courses include:
  • Data Mining And Big Data Analytics
  • Economic And Social Networks
  • Economic Networks
  • Empirical Finance
  • Fundamental Ideas In Network Science
  • Graph Theory
  • Network Science And Applications
  • Networks And Computers
  • Programming In Python
  • Random Graph And Network Simulations
  • Similarity Based Networks
  • Simulation Methods
  • Social Networks
  • Statistical Methods In Network Science And Data Analysis
  • Stochastic Processes In Natural And Social Phenomena
  • Structure And Dynamics Of Complex Networks
  • Very Large Graphs And Their Limits

Lecturers

Faculty

  • Balázs Vedres

Associate professor
Director, Center for Network Science

  • János Kertész

Professor

  • Rosario N. Mantegna

Professor

  • Albert László Barabási

Part-time professor

Affiliated faculty

  • Aleh Cherp

Professor
Coordinator of MESPOM Consortium
Department of Environmental Sciences and Policy

  • Jean-Louis Fabiani

Professor
PhD Program Director
Department of Sociology and Social Anthropology

  • Károly Böröczky

Department Head
Department of Mathematics and its Applications

  • Pál Heged"us

Assistant Professor
General Tutor for MS Students
Department of Mathematics and its Applications

  • Viktor Lagutov

Head, Environmental Systems Laboratory
Department of Environmental Sciences and Policy

  • Levente Littvay

Assistant Professor
Department of Political Science

  • Ádám Szeidl

Professor
Department of Economics

  • Antonio Bodini

Researcher
University of Parma, Italy
Department of Environmental Sciences

  • Károly Takács

Assistant Professor
Corvinus University of Budapest
Institute of Sociology and Social Policy

  • Ferenc Jordán

Researcher
Microsoft Research - University of Trento, Italy
Center for Computational and Systems Biology

Research fellows

  • Carl Nordlund
  • Silvia Neamtu
  • János Török
  • Ruan Zhongyuan
  • Jörg Menche
  • Mario Scotti

Staff

  • Gabriella Zsófia Michna

Program coordinator

Academic Requirements

General Admissions requirements:
  • Complete online application
  • Proof of English proficiency
  • Letters of recommendation
  • Curriculum vitae
Program Entry Requirements:
  • General CEU admissions requirements
  • Master’s degree in one of a broad range of related disciplines, including physics, mathematics, computer science, sociology, political science and economics
  • Strong interest in interdisciplinary research and willingness to do quantitative studies
  • Detailed account of earlier studies Motivation letter

Tuition Fee Per Year

  • EUR 15000 International
  • EUR 15000 EU/EEA

Funding

Scholarship
  • CEU is committed to attracting talented students and scholars from around the world and provides generous merit-based scholarships available to students from any country. Doctoral scholarships include a full tuition waiver and a generous stipend for housing and living expenses.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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