Machine Learning and AI

Machine Learning makes predictions from data with a focus on algorithmic efficiency and optimization with respect to prediction accuracy. Following on from STAT30270/STAT40750, this module will explore important topics in Machine Learning in the context of Artificial Intelligence. The goal of this module is to show how to employ algorithms that can learn and make predictions from complex data, including self-tuning and adaptation to a wide variety of data structures.

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 completion of this module, students should have acquired the following skills:

  • Have an understanding of the theory regarding all the Machine Learning and Artificial Intelligence methods introduced
  • Being able to apply a range of Machine Learning and Artificial Intelligence methods, including Deep Learning
  • Being able to evaluate the performance of the methods introduced, benchmarking them against each other based on out-of-sample prediction performance
  • Use the statistical software R and Keras to implement these methods

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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