Course summary
The programme aims to offer a unique comprehensive training in social network analysis (SNA) covering theoretical foundations, research design, data collection techniques, methods for the analysis and visualization of network data, and statistical modelling of networks. At the end of the programme the students will be able to:
- Design research projects using SNA in a variety of applicative areas.
- Critically engage with the theoretical foundations of SNA and use them to formulate robust and coherent SNA empirical questions.
- Collect social network data in online and offline contexts, selecting the right data collection tools and assessing the validity and reliability of the data collection.
- Apply a wide range of analytical techniques to social network data.
- Statistically model the mechanisms for social network formation and evolution.
- Develop network studies and intervention that can be used in private and public sectors.
- Write social network analysis academic reports
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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For fees for entry in 2025, please view the course listing on our website.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL