Data Analytics
- Course code
- —
- Level
- Level 9
- Award
- Degree - Masters (Level 9 NFQ)
- Classification
- Major
- Awarding body
- QQI
- Duration
- Part-time Schedule 2 years; 4 semesters with a research practicum or internship Delivery: Blended - Livestream with some on-campus stream classes, scheduled in advance. Indicative Timetable: Two evenings per week, 18.00 - 22.00 Full-time Schedule 1 year; 3 semesters with a practicum or internship Delivery: Campus – Classes will take place face-to-face on campus. Indicative Timetable: Students need to be available 09.00-18.00 Mon – Fri. Class days and times vary.
Programme summary
The overall goal of the MSc in Data Analytics programme is to provide graduates with essential research and development skills in Data Analytics. It is envisaged that graduates from this programme will be well equipped to perform independent research that enables them to make informed and critical decisions regarding requirements elicitation and analysis, implementation, evaluation, and documentation in Data Analytics.
Entry requirements
A minimum of a level 8 honours qualification (2.2 or higher) or equivalent on the National Qualifications Framework in a cognate discipline. Given the target technical market for graduates of this programme, candidates will be required to demonstrate technical or mathematical problemsolving skills as part of previous programme learning. Standard applicants for the programme are those holders of technical, numerate degrees. Graduate from disciplines which do not have technical or mathematical problem-solving skills embedded in their programme will need to be able to demonstrate technical or mathematical problem-solving skills in addition to their level 8 programme qualifications (Certifications, Additional Qualifications, Certified Experience and Assessment Tests). All applicants for the programme must provide evidence that they have prior programming experience (e.g., via academic transcripts or recognised certification). For candidates who do not have a level 8 qualification the College operates a Recognition of Prior Experiential Learning (RPEL) scheme meaning applicants who do not meet the normal academic entry requirements, may be considered based on relevant work or other experience. Non-Englishspeaking applicants must demonstrate fluency in the English language as demonstrated by an IELTS academic score of at least 6.0 or equivalent. Laptop Requirement This programme has a BYOD (Bring Your Own Device) policy. Specifically, students are expected to successfully participate in lectures, laboratories and projects using a portable computer (laptop/notebook) with a substantial hardware configuration. The minimal suitable configuration is 8GB of RAM (16GB are recommended); a modern 64-bit x86 multicore processor (Intel i5 or superior); 250+ GB of available space in hard disk; WiFi card; and a recent version of Ubuntu, macOS, or Windows. It is the responsibility of each student to ensure their computer is functioning correctly and that they have full administrator rights. NCI IT cannot provide support for these personal devices. Some students may be able to avail of the Student Laptop Loan Scheme, subject to eligibility.
Who to apply to
Course provider
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