Monte Carlo

Most micro-credentials 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 info@advancecentre.ie.

Specific Learning Requirements:

• Basic understanding of probability. For more details on the required level, see for example the content and learning outcomes of STAT20110 - Introduction to Probability;
• Familiarity with common statistical distributions e.g. Gaussian, Gamma, Beta, Exponential, etc. ;
• Basic knowledge of function optimization (mathematical optimization);
• Basic understanding of statistical inference and hypothesis testing. For more details on the required level, see for example the content and learning outcomes of - Inferential Statistics.

Learning Recommendations

• Basic knowledge of Stochastic Processes;
• Basic knowledge of Bayesian Inference;
•  Basic knowledge of R programming language.

.

You will gain some understanding and knowledge of the techniques and tools which are available. The emphasis will be on understanding the principles behind he different algorithms. This micro-credential is not a course on Statistical computing, but you will understand and appreciate how to apply these methods in practice.

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 micro-credential it can be credited as part of the MSc Data Analytics