MSc and Prof Dip Data Analytics

This course is intended for applicants with a degree in a numerate subject. An upper second class honours or international equivalent is required.  Those without this requirement, but with equivalent experience in industry, will also be considered on a case-by-case basis, or can apply for the Professional Certificate in Mathematics for Data Analytics and Statistics which leads directly into the Data Analytics programme.

The first year of both programmes is designed to introduce you to statistical and mathematical concepts in Data Analytics and Statistical Machine Learning, and to start you on statistical programming with data. The second year of the MSc is split between understanding the theory behind statistical models for data via predictive analytics, and dealing with data sets at scale using multivariate techniques.

Data Analysts are in strong demand from industry; those who are successful in completing the course are highly employable in fields as diverse as pharmaceuticals, finance and insurance, as well as cloud computing. Some examples of prospective employers include ICT companies (e.g., Google, eBay, Facebook, Amazon, Paddy Power); the pharmaceutical industry (e.g., Janssen, Merck, GSK); and the financial services industry (e.g., Bank of Ireland, AXA, EY, Accenture, Deloitte)