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Computing - Big Data Analytics

Is this course for me?

Our Master of Science in Computing in Big Data Analytics 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.

From banking and financial services to retail and healthcare, as well as life sciences, the opportunities in big data analytics are expanding all the time, and this course provides you with excellent qualifications to make the most of the ever increasing opportunities.

After all, your skills can provide competitive advantage for businesses including more effective marketing and increased revenue which is why more and more companies have moved into the field, harnessing talents such as yours to exploit the huge volumes of data now available.

The opportunities for successful graduates exist in companies running large database systems, as well as the payment card industry and financial services. Roles typically include becoming a data storage manager, data analyst or data scientist.

Entry requirements

Minimum 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.


1 year full-time or 2 years part-time

Careers or further progression

Follow-on Courses

Follow up programmes elsewhere include:
Level 10 studies (Doctoral) at other institutions and universities at home and abroad.

Career Pathways

The main employers are:
Companies with Large Database Systems
Payment Card Industry
Financial Services

Graduate Careers

Former graduates are employed in the following capacities:
Data Scientist
Data Storage Manager
Data Analyst

Further enquiries

Further Information
Thomas Dowling
Head of Department
Telephone: +353 (0)74 918 6304

Subjects taught

Semester Proposed Modules Mandatory/elective Credits Hours Per Week

Business Intelligence Mandatory 10 4
Mathematics for Analytics Mandatory 10 4
Big Data Architecuture Mandatory 10 4

Machine Learning Elective 10 4
Data Science Elective 10 4
Big Data Analytics Mandatory 10 4
Secure Information Systems Elective 10 4
Performance Engineering Elective 10 4

3 Dissertation Mandatory 30 4

Application date

Application Deadline - 24 August

Course fee

EU Fees: €5,000.00
Non-EU Fees: €9,000.00

Remember to mention gradireland when contacting institutions!