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 programme 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 programme 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 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 programme.
- Fully Online
- Duration: 2 years, part-time
- Schedule: Classes are held on Tuesdays and Thursdays from 6-10pm.
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 programme 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.
Orientation 2024
Orientation and the start date are provisionally scheduled for the 22nd and 23rd of January 2024. Typically orientation and classes take place within the last two weeks of January. The official dates will be confirmed in September 2023.
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 of €3,875 (per annum) if there are available places. Contact us for more information.
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 programme 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.
Fees
Course fee per annum: €3,875
Skillnet grant per annum: €925
Student fee : €2950*
*Part-funded fees are only available to eligible applicants.
Please click the “Apply Now” button at the top of this page 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 will be required at this stage.
The deadline for applications is 30th November 2023.
