Program Description

This Master of Science in Data Analytics is a one-year full-time or two-year part-time Level 9 programme primarily aimed at students with strong numeracy skills who wish to extend their skillset to a more advanced level of theoretical knowledge and practice and to further develop their research capabilities and innovation skills in the area of Data Analytics. The programme takes an integrative approach, focusing on the synthesis of knowledge and practice from specialist areas within the data analytics and computing domains.

The aim of this programme is to produce highly-skilled graduates with expertise that cuts across the core disciplines of Mathematics, Statistics and Computer Science. It emphasises the critical connection from data to information, from information to knowledge, and from knowledge to decision making, encompassed in the Data-Lifecycle.

The educational aim is to develop students' analytical, critical thinking, problem-solving and communication skills and to foster their research capabilities and innovation skills in the area of Data Analytics.

The primary aim is to develop expert knowledge in aspects of data required to become highly-skilled Data Analysts: with modules in Statistics, Data Visualisation, Time Series, Data Architecture, Machine Learning, Statistical Programming and Ethics in Data.

Two great reasons to consider this course

• This programme provides graduates with the skills necessary to enter the ever-expanding world of Data Analytics.
• There is a huge demand for graduates from data analytics-related courses in Ireland and internationally.

Career Options

These career paths can take place in many different sectors and industries including areas such as research; academia; business; finance; banking; healthcare; pharmaceuticals; commercialism; and technology.

Graduates from MSc in Data Analytics can find Industry roles such as Data Analyst, Data Scientist, Data Engineer, Data Architect, Business Data Analyst, Data Visualisation developer and Statistician.

Admission Requirements

Minimum 55% in Bachelor's Hons Degree in the area of Statistics, Computing, Engineering, Science or equivalent qualification in a cognate discipline with programming modules.

Shortlisted candidates may be invited for an interview.

IELTS Requirements

Listening	Reading	Writing	Speaking	Overall
6	6	6	6	6.5

Remarks:

The Duolingo English Test will be accepted as an English language Proficiency Certificate.