Course Summary
Our Master of Science in Computing in Big Data Analytics and Artificial Intelligence is a one year, full-time or two year, part-time programme. It focuses on the processes involved in examining and interpreting large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information and then enabling computer systems to make independent decisions.
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
Level 8 Honours Degree in Computing, or equivalent, second class honours (2.2), or Higher Diploma in Computing (Conversion Course into Computing). Non computing applicants must have a minimum of 30 ECT credits in Computing or Computing related modules, or computer industry experience. If you do not have an honours degree but have relevant experience you may also be eligible to apply via Recognition of Prior Learning (RPL). Applicants may also attend a one week bridging course where necessary.
Application Details
Fees
Non-EU Fees: €12,000
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.
Administrative
Administrative people are interested in work that offers security and a sense of being part of a larger process. They may be at their most productive under supervisors who give clear guidelines and while performing routine tasks in a methodical and reliable way.
They tend to enjoy clerical and most forms of office work, where they perform essential administrative duties. They often form the backbone of large and small organisations alike. They may enjoy being in charge of office filing systems, and using computers and other office equipment to keep things running smoothly. They usually like routine work hours and prefer comfortable indoor workplaces.
Career Progression
Follow up programmes elsewhere include:
Level 10 studies (Doctoral) at Letterkenny Institute of Technology or other institutions and universities at home and abroad.
Career Pathways
The main employers are:
Finance Companies of all types
Companies in business & computing
Health Care Providers
Logistics
Retail
Construction
Supply Chain Management etc.
Graduate Careers
Graduate careers typically include:
Data Scientist
Data Analyst
Business Intelligence Analyst
Data Engineer
Data Analytics Consultant
Machine Learning Engineer
AI Data Analyst
AI Engineer
Computer Vision Engineer