This course will equip you to enter the world of data analytics. It will give you the technical skills in areas like statistics, databases, programming, data analysis, data governance, business intelligence, and machine learning.
The course is particularly suitable for those with numeracy skills who wish to work as data analysts, business analysts or to enter into management roles across a range of sectors.
You do not need to have previously studied programming. However, given the timeframe and the amount of technical and statistical content, applicants should be prepared to commit fully to the course.
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Applicants holding an honours degree (level 8 or equivalent) in any discipline will be considered. Candidates will ideally be able to demonstrate technical or mathematical problem-solving skills as part of previous course learning. Typically, holders of more technical, numerate degrees are likely to gain a higher ranking in any order of merit in selection for the course.
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.
This programme has a BYOD (Bring Your Own Device) policy. Specifically, students are expected to successfully participate in lectures, laboratories and projects using a laptop computer with a substantial hardware configuration. Its minimal suitable configuration is 8GB of RAM (16GB are recommended); a modern 64-bit x86 multi-core 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 his/her laptop is functioning correctly and that she/he has full administrator rights. NCI IT cannot provide support for these personal devices.
A Laptop Loan Scheme is available for eligible students to assist them in completing their chosen course.
Higher Diploma in Science in Data Analytics is awarded by QQI at level 8 on the National Framework of Qualifications. Students who successfully complete this course may be eligible to progress to a major award at level 9 on the NFQ.
Blended/fully online (fully online delivery is subject to QQI validation).
Read our COVID-19 update in relation to programme delivery for further information.
For information on the modules taught on this course view our module descriptors.
The course will be assessed with a blend of continuous assessments and/or project work and exams. This varies between modules but typically assessment is split 60:40 between exams and continuous assessment.
Three evenings per week, 18.00 - 22.00.
Two nights a week, 18.00 – 22.00, and a number of Saturdays, 09.00 – 18.00
Please note that exams can be scheduled during the morning, afternoon or evening Monday to Saturday.
3 semesters delivered over 1 calendar year
4 semesters delivered over 2 calendar years
This course costs €4,500 (fees revised annually).
You can spread the cost of this course with a direct debit plan.