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Overview
Students will learn how to analyse the role of networks in various social and economic environments.
Key facts:
- Networks play an increasingly dominant role in many social, business, and economic environments. Moreover, network data becomes increasingly important and available due to the rise of online social media and digitization.
- Econometrics of Networks at Vrije Universiteit Amsterdam consists of three days in which you will practice the material of the lectures in the morning with tutorials in the afternoon using exercises that will be implemented in Matlab.
Programme Structure
Upon successful completion of the course, students will:
Become acquainted with different statistical methodologies for analysing networks while learning how to see these different methodologies complementing each other.
Learn to model network problem situations mathematically, and adapt the methods learned to new situations at hand.
Be able to recognise, understand, and analyse societal and business problems in which networks are central.
Key information
Duration
- Part-time
- 3 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
Credits
2 ECTS
Delivered
Online
Disciplines
Information Technology (IT) Econometrics Data Science & Big Data View 6 other Short Courses in Information Technology (IT) in NetherlandsAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
The course will be accessible to advanced undergraduate and graduate students as well as practitioners from related fields.
Apart from Bachelor's and Master's students, we also welcome PhD staff to apply to the course.
Tuition Fee
To always see correct tuition fees
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International
580 EUR/fullTuition FeeBased on the tuition of 580 EUR for the full programme during 3 days. -
EU/EEA
580 EUR/fullTuition FeeBased on the tuition of 580 EUR for the full programme during 3 days.
Funding
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