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 firstname.lastname@example.org.
N.B. Specific Learning Requirements:
Familiarity with basic probability concepts such as Probability distribution, Expectation, Variance, Covariance and Correlation. Knowledge of the main probability distributions (normal distribution, chi-square, ...). Basic linear algebra (vectors, matrices).
Learners should have a knowledge of statistical inference at a level equivalent to that which would be achieved upon completion of either Inferential Statistics or Inference for Data Analytics
Basic knowledge of linear algebra (vectors, matrices). Knowledge of linear models and least square estimation which would be achieved upon completion of Data Modelling for Science or Predictive Analytics would be beneficial.
Upon completion of this module students will be able to:
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.