Highlights
Tuition fee
4150 GBP / full
4150 GBP / full
Unknown
Tuition fee
4150 GBP / full
4150 GBP / full
Unknown
Duration
19 days
Duration
19 days
Apply date
Unknown
Unknown
Apply date
Unknown
Unknown
Start date
Unknown
Unknown
Start date
Unknown
Unknown
Campus location
London, United Kingdom
Campus location
London, United Kingdom
Taught in
English
Taught in
English

About

London School of Economics and Political Science's Social Network Analysis course focuses on data about connections, forming structures known as networks. Networks and network data describe an increasingly vast part of the modern world, through connections on social media, communications, financial transactions, and other ties.

Overview

Key facts

London School of Economics and Political Science's Social Network Analysis course covers the fundamentals of network structures, network data structures, and the analysis and presentation of network data. Students will work directly with network data, and structure and analyse these data using R.

Social networks have always been at the centre of human interaction, but especially with the explosive growth of the internet, network analysis has become increasingly central to all branches of the social sciences. How do people influence each other, bargain with each other, exchange information (or germs), or interact online? A diverse array of deep questions about human behaviour can only be answered by examining the social networks encompassing and shifting around us. Network analysis has emerged as a cross-disciplinary science in its own right, and has in fact proven to be of even greater generality and broader applicability than just the social, extending to ecology, physics, genetics, computer science, and other domains.

Programme Structure

Courses include:

  • Network terminology
  • Egocentric and sociocentric networks
  • Gathering network data
  • Network centrality
  • Structural equivalence, roles, and positions
  • Mutuality, transitivity, and balance

Key information

Duration

  • Full-time
    • 19 days

Start dates & application deadlines

We did our best, but couldn't find the next application deadline and start date information online.

Language

English

Credits

7 ECTS
  • 3-4 credits (US) 
  • 7.5 ECTS points (EU)

Delivered

On Campus

Campus Location

  • London, United Kingdom

What students do after studying

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Academic 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

This course is ideal if you are wanting to get a hands-on introduction to how we can represent, describe, and model social networks. If you are looking to build your skills in data science, while still having a strong grounding in social theory, you should consider this course.Given the breadth of applicability of network analysis, this could be of interest if you are looking to pursue further study with an MSc or MBA, or turning to a career in consulting or management.  

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    4150 GBP / full
    4150 GBP / full
  • Domestic

    Citizens or residents
    4150 GBP / full
    4150 GBP / full

Additional Details

  • One Session - £4,150
  • Two sessions - £7,300
  • Three sessions - £9,000

Living costs

London

United Kingdom
1137 - 2157 GBP / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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