Network science for a connected world
About this minor
Why opt for this minor?
- Explore the hidden structures of networks in society, biology, and technology
- Learn data science techniques and network visualization tools
- Develop interdisciplinary problem-solving skills
- Work on hands-on projects with real-world applications
- Open to students from various academic backgrounds
What will you learn?
Students will explore:
- Fundamentals of graph theory and random networks
- Network modeling techniques (e.g., preferential attachment, configuration models)
- Tools and programming skills
- Applications in social networks, transport systems, archeology, astronomy, biological networks, security.
Career Prospects
Skills gained in this minor are valuable in fields such as:
- Data science and analytics
- Technology and innovation sectors
- Public policy and urban planning
- Epidemiology and public health
- Academic research and consultancy
Programme Overview
The minor Network Science for a Connected World consists of 6 courses, totaling 30 ECTS, spread over two blocks in the Fall semester. The courses cover fundamental mathematical and computational skills, theoretical principles, and practical applications of network science.
| Course Name | Level | EC | Block |
| Essentials of Mathematics, Data Science, and Programming | 100 | 6 | 1 |
| Introduction to Network Science | 100 | 6 | 1 |
| Interdisciplinary Network Science Applications | 200 | 3 | 1 |
| Processes on Networks | 300 | 3 | 2 |
| Structure of Networks | 200 | 3 | 2 |
| Network Science Project | 300 | 9 | 2 |
What are the courses about?
Essentials of Mathematics, Data Science, and Programming: Learn the mathematical and computational foundations for analyzing networks, including linear algebra, probability, and Python programming.
Introduction to Network Science: Discover the core principles of network theory, such as connectivity, shortest paths, node importance.
Interdisciplinary Network Science Applications: Explore real-world applications of networks in fields like social science, physics, astronomy, archeology, healthcare, and economics through expert guest lectures.
Processes on Networks: Analyze and simulate network-based processes, including diXusion, contagion, synchronization, and random walks.
Structure of Networks: Investigate common patterns in real-world networks, including small-world properties, clustering, and preferential attachment.
Network Science Project: Apply your knowledge in a hands-on project where you analyze a network or simulate network dynamics to solve a complex problem.