Stochastic Models

This module covers the principles behind, and key characteristics, of stochastic models in real-world applications. Topics include: introduction to stochastic modelling with applications; non-parametric regression; Survival analysis, Markov chains, continuous time Markov processes, Poisson processes; mixture models.

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. Required to have completed mathematics and statistics modules that contain elements of linear algebra (specifically matrix manipulation) and calculus.

On successful completion of the module, learners should be able to:

  • Construct a statistical model, fit the model to data and judge when a model is satisfactory
  • Be familiar with several statistical model types.
  • Apply statistical models to real world applications and assess the adequacy of the applied models.

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 or Professional Diploma Data Analytics PT

Detailed Course Information

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