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MSc Social Network Analysis

Different course options

Full time | The University of Manchester | 1 year | 25-SEP-23

Study mode

Full time

Duration

1 year

Start date

25-SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Network Analysis Using The World Wide Web

Course type

Taught

Course Summary

Course description

The course offers a comprehensive training in social network analysis, covering theories, methods and applications of social networks in social sciences.

Students will learn the theoretical foundations of social network analysis, the constitutive elements of research design, techniques for data collection, advance methods for social network data analysis and visualization, statistical modelling of social networks and mixed methods.

The learning environment will include face to face lectures, computer assisted workshops, and applications of social network theories and methods to a variety of substantive fields in social sciences.

With an interdisciplinary combination of lecturers from the Mitchell Centre for Social Network Analysis , who specialise in mathematics, social statistics, sociology and criminology, the teaching team will guide and supervise students in all the aspects related to social network research.

Areas of applications include (but are not limited to) online networks, criminal networks, health network, cultural networks, scientific networks, migration networks and academic networks.

Aims

  • Meet the increasing national and international demand of social network analysis (SNA) in academic social research as well as commercial environment including market research, crime analysis and public health.
  • Contribute to the national and international need for theoretically informed and methodologically skilled researchers in SNA.
  • Train in the necessary skills to understand and contribute to future developments in social network research.
  • Provide advanced, systematic and critical knowledge of theoretical and methodological aspects of SNA in a vibrant and internationally leading research environment.
  • Offer a unique set of skills in data visualization and modelling techniques that are highly valuable in commercial and public sectors, with understanding of the implications for markets and policy.
  • Prepare students for PhD level research careers in academic life or as professionals in government, public and private sectors.

Teaching and learning

  • Face-to-face lectures
  • Workshops
  • Computer-assisted tutorials
  • Student-led presentations and debate
  • Independent study
  • Seminars

Career opportunities

This degree is designed to ensure highly numerate, research-oriented and employable graduates, and will provide you with the skills necessary for roles within:

academia;
government departments;
research institutes;
commercial research.

Our graduates can find career opportunities as consultants or analysts in organizational development to help companies optimise their work structure; as data scientists with specialised skills in network analysis in areas like social media analytics; and as data scientists/data analysts in governmental agencies like the Home Office and Trading Standards.

Modules

Theories of Social Networks and Mixed Methods - Core
Data Analysis with R&R Studio - Core
Introduction to SNA - Core
Network Data - Core
Network Modelling - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

11,000

International fees
Course fees for EU and international students

For this course (per year)

23,500

Entry requirements

A bachelor degree with honours (minimum 2:1 or international equivalent) in social sciences, mathematics, physics, computer sciences, or the overseas equivalent. The entry requirements are intentionally kept open as SNA is an interdisciplinary approach that attracts scholars from both humanities and natural sciences.