Social Network Analysis, Certificate | London School of Economics and Political Science | London, United Kingdom
3 days
Duration
2950 GBP/full
2950 GBP/full
Unknown
Tuition fee
Anytime
Unknown
Apply date
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Start date

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
    • 3 days

Start dates & application deadlines

Language

English

Credits

7 ECTS

Delivered

On Campus

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.

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at London School of Economics and Political Science and/or in United Kingdom, please visit Student Insurance Portal.

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 Fee

To always see correct tuition fees
  • International

    2950 GBP/full
    Tuition Fee
    Based on the tuition of 2950 GBP for the full programme during 3 days.
  • National

    2950 GBP/full
    Tuition Fee
    Based on the tuition of 2950 GBP for the full programme during 3 days.
  •  Student rate: £2,950 
  •  Standard rate: £3,950

Living costs for London

1137 - 2157 GBP /month
Living costs

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

Funding

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