Network Science (981G5JN)

15 credits, Level 7 (Masters)

Spring teaching

Network science is the study of complex systems that are made up of interconnected nodes and edges. It gives you a framework to describe and analyse how networks are structured, their dynamics, and how they behave in different domains. In this module, you’ll learn practical tools and techniques for analysing and visualising networks. You’ll also enhance your general data analysis skills.

By studying how network science is used in fields such as social media analysis, epidemiology, neuroscience and cybersecurity, you’ll gain a broader perspective. This will support your research and problem‑solving abilities.

This module can also be suitable for students on the Data Science MSc, Human and Social Data Science MSc and Advanced Computer Science MSc. It may also appeal to Neuroscience MRes students who take the MCMCS module. You’ll be able to access these options through variation of studies in the first instance.

 

 

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 33 hours of contact time and about 117 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2026/27. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.

We’ll make sure to let you know of any material changes to modules at the earliest opportunity.