Big Data Analytics & Artficial Intelligence

LYIT Internal Code:
LY_KDAAI_M (Masters)
LY_KAFIR_M (Structured Research Masters)

Is this Course for me?
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.

From banking and financial services to retail and healthcare the opportunities in big data analytics and artificial intelligence 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 and the ability of computers to utalise hat data to make informed decisions.

The opportunities for successful graduates exist in companies in the areas of healthcare, banking, financial services, energy services, manufacturing, retail, transport and communications. Roles typically include becoming data analysts, researchers, information managers, project managers, solutions specialists and systems architects.

Key features
• Graduates' skills provide competitive advantage for businesses
• Opportunities in Big Data Analytics are expanding all the time
• Flexible part-time and full-time options

Subjects taught

Master of Science in Big Data Analytics and Artificial Intelligence

What will I study?
Semester 1
Mathematics for Analytics Mandatory 10
Artificial Intelligence 1 Mandatory 10
Machine Learning Mandatory 10

Semester 2
Big Data Analytics Mandatory 10
Big Data Architecture Mandatory 10
Artificial Intelligence 2 Mandatory 10

Semester 3
Dissertation (M) 30

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.

Application dates

We are now taking applications for the next intake in September 2020.

Applications will close on August 31th 2020 or earlier if the course is full.

Students requiring a study visa for Ireland should apply no later than May 29th 2020 .


1 year, full-time
2 years, part-time


EU Fees: €5,000.00
Non-EU Fees: €10,000.00

Post Course Info

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:

Finance Companies of all types
Companies in business & computing
Health Care Providers
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

More details
  • Qualification letters


  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Part time,Daytime

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    Course provider