Statistical Network Analysis (online)

The module focuses on the analysis of relational data, and reviews the available methodologies and algorithms that can be employed to model network interactions.

Accordion / FAQ component

Most modules require a 2.2 degree in a related discipline or equivalent professional experience. Should you have any queries regarding your eligibility, please contact us at

N.B. Learning Requirements:

Background on statistical inference including probability spaces, likelihood-based inference, regression is essential. Students should be familiar with linear algebra and calculus.

Learning Recommendations:

Familiarity with R, or with a computer programming language that is related to data science.

On successful completion of the module, learners should be familiar with the different types of relational data and the related statistical models. Learners should be able to manipulate data stored as a network, and to choose and implement appropriate statistical methodologies to analyse these data.

Learn from world renowned academic staff in Ireland’s leading, future focused and globally recognised colleges.

Gain an accredited NFQ qualification/micro credential that you may count towards a full award if you so wish in the future.

Previous modules may be used as recognition of prior learning towards Advance Centre degree programmes.

Equip yourself with the latest in demand skillset, tools, know-how and knowledge to succeed in your career.

Gain a competitive edge, influence growth and steer strategic goals in your organisation upon completion of your studies with the Advance Centre.

Yes, if you complete this module it can be credited as part of the MSc Data Analytics 

Detailed Course Information

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