Program Description

The MSc in Data Science and Statistical Learning provides an exciting opportunity for students with a quantitative background to specialise in the rapidly expanding field of data science, with an emphasis on statistical perspectives. The course modules have been carefully developed with a focus on statistics and computing to assist students in developing skills in statistical modelling, data visualisation and interpretation, database management, statistical programming, network analysis and predictive algorithms. Students are also provided with an opportunity to specialise in more applied elements of data science through the undertaking of a research project and dissertation.  The objectives of the course are:

• To enable graduates of quantitative disciplines to redirect their training towards the rapidly growing field of data science.
• To provide students with a fundamental grounding in the key skills of data science including; data manipulation, data interrogation and visualisation, statistical modelling, and scientific computation.
• To provide students with technical research and presentation experience, through the undertaking of a research project and writing of an MSc dissertation.

Admission Requirements

The minimum entry requirement is a 2:2 undergraduate degree (Level 8 - National Qualifications Authority of Ireland) (or equivalent) in Mathematics, Statistics, Computer Science, or other relevant quantitative discipline, or equivalent qualification that is recognised by the University as meeting this requirement. The University reserves the right to shortlist and interview applicants as deemed necessary. 

IELTS Requirements

Listening	Reading	Writing	Speaking	Overall
6	6	6	6	6.5

Remarks:

• Yearly tuition fee is given