MSc in Data Analytics

  • Application Deadline:
    13th December 2024
  • Start Date:
    20th January 2025
  • Duration:
    2 years part-time
  • Delivery:
  • Subsidised Fees:
    To be confirmed

MSc in Data Analytics

Unlock the hidden potential of data.

This online MSc in Data Analytics will equip candidates with up to date knowledge and practical skills that are increasingly sought after in a wide and growing range of industries.

The course is designed to accommodate those with a specific interest in data analytics, whether that may be of a more technical or a more business focused nature. The course is led by expert faculty and is delivered online using academic research, industry-defined problems and case studies.

Data Analytics is one of the fastest growing areas of IT, across a variety of organisations and industries, and remains critical for businesses as it turns information into an asset for deriving insights and making decisions.

This innovative course is suitable for entrants to the discipline that require a broader range of taught modules to familiarise themselves with the skills and knowledge of the discipline and also for specialist employees who want to up-skill in their specialist areas and require a narrow range of taught modules and more emphasis on the research skills project of the course.


Orientation: January 2025

Start Date: January 2025


  • Fully Online
  • Duration: 2 years, part-time
  • Schedule: Classes are held on Tuesdays and Thursdays from 6 – 10 pm.


Time Commitment

Typically, 1 ECTS = 20  – 25 hours of total student effort.

Example Semester 1: 20 ECTS per sem x 25 hrs = 500 hrs per sem / 16 weeks = 31.3 hrs per week (academic week with 5 contact hrs + 5 direct learning + 21.3 hrs independent learning)

Semester 1 – 3:  25 – 31.3 Hours per week.

Semester 4:       37.5 – 46.8 Hours per week.

The part-time element is to help busy professionals to study and work at the same time and as the course is designed from an applied perspective, all learnings in the classroom can immediately be incorporated into the work environment. A unique feature of this course is the strong collaboration between industry and academia in its development.



The MSc in Data Analytics programme is a 2-year 90-ECTS course. Learners are required to complete 20-ECTS during each of the taught semesters and then a final 6-month semester completing the Research Project and Data Governance and Ethics modules.


Core Modules

  • Statistics for Data Analytics
  • Database and Analytics Programming
  • Data Mining and Machine Learning I
  • Data Mining and Machine Learning II
  • Modelling, Simulation and Optimisation
  • Research in Computing
  • Data Governance in Ethics
  • Research Project


In addition to the core modules, there is a choice of two electives: one in Year 1 Semester 2 and one in Year 2 Semester 1.

Elective modules are subject to availability. The first elective module chosen will determine further elective choices.


Year 1 – Elective Choices

  • Business Intelligence and Business Analytics
  • Innovation I
  • Data Intensive Architectures


Year 2 – Elective Choices

  • Domain Applications for Predictive Analytics
  • Innovation II
  • Scalable Systems Programming


For further breakdown on modules and programme information, please click here to download the MSc in Data Analytics programme brochure.


Academic Eligibility

Candidates must have a Level 8 Honours Degree with a 2.2 award or higher on the National Framework of Qualifications. Candidates may be from a cognate/STEM (science, technology, engineering or mathematics) background. Standard applicants for the course are those holding computing or numerate degrees.

The college operates a Recognition of Prior Experiential Learning (RPEL) scheme meaning applicants who do not meet the normal academic requirements may be considered based on relevant work and other experiences. This may be assessed using a portfolio of learning, demonstration of work produced, and an interview. The programming ability of the applicant will also be assessed.



The fees for this course are part-funded by Technology Ireland ICT Skillnet. The reduced course fees for the 2025 course intake are to be confirmed. Please use the enquiry form to be informed when the fees are confirmed.

Part-funded fees are only available to eligible applicants*.


*Funding Eligibility

Applicants must be working in a private or commercial semi-state organisation registered in the Republic of Ireland (Business, Consultant, Freelancer) to avail of the grant-aided fees. As a government-funded training network, we can only support those meeting these criteria.

Applicants who do not meet our funding criteria may in some cases be able to apply and pay the full fee per year if there are available places. Contact us for more information.


Please click the “Apply Now” button and submit a copy of your CV for the first stage of screening.

At the second stage of the application process you will be sent a link to make a formal application with the college. Transcripts of your primary degree will be required at this stage.