Course Summary
This online course will help you analyse and understand the large data sets that are regularly being created via the huge growth in freely available online information. There is a huge ongoing growth in demand for graduates with these valuable skills in a wide range of industries, and currently a shortage of qualified graduates.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
This programme 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.
Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent
These are the minimum entry requirements – additional criteria may be requested for some programmes
Application Details
How to apply?
The following entry routes are available:
MSc Data Analytics PT (F084)
Duration 3 Years
Attend Part Time
Deadline Rolling*
* Courses will remain open until such time as all places have been filled, therefore early application is advised
Next Intake: 2024/2025 September.
Fees
MSc Data Analytics (F084) Part Time
EU/NONEU fee per credit - € 154.6
***Fees are subject to change
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
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. Prospective employers include any company that requires detailed, robust analysis of data sets. Some examples include:
• ICT companies (e.g., Google, eBay, Facebook, Amazon, Paddy Power)
• The pharmaceutical industry (e.g., Janssen, Merck, GSK)
• The financial services industry (e.g., Bank of Ireland, AXA, EY, Accenture, Deloitte)