This course is being offered under Springboard+ and the Human Capital Initiative (HCI) for free for jobseekers and for a nominal fee for applicants in employment. See the Springboard+ tab below for more information and to find out how to apply for this course.
Application Deadline: 19/08/2020
Application Deadline (Online Delivery): 04/08/2020
Course Start Date: 28/09/2020
End Date (Blended Delivery): 31/08/2021
End Date (Online Delivery): 31/05/2022
This course will equip you to enter the world of data analytics. It will give you the technical skills in areas like statistics, programming, database management and web mining in addition to business skills such as communication.
The following courses are funded under Springboard+ and Human Capital Initiative (HCI):
View our brochure for further information on the Higher Diploma in Science in Data Analytics.
This course is free for applicants who are unemployed and meet the academic requirements. Applicants who are in employment pay 10% of the course fee. To find out if you're eligible visit www.springboardcourses.ie. Click the links above to apply.
Online Sample Class
We will be holding online sample class for this course on the following date:
Springboard+ is co-funded by the Government of Ireland and the European Social Fund as part of the ESF Programme for Employability, Inclusion and Learning 2014-2020.
The analysis and interpretation of data to address the problems of business and society is an area experiencing massive growth. Diverse areas such as insurance, retail, sports, finance, pharmaceutical and government are all looking for people with skills in analysing ‘big data’ to help them make more informed decisions.
The course will furnish students with skills to enter the world of data analytics through building a foundation of strong statistical knowledge, developing problem-solving skills for business analysis, and helping you understand and use business data to deliver better decision making. This higher diploma will give you technical skills in statistics, programming, database management and web mining in addition to business skills such as business analysis that will help you make an impact in a wide range of roles. Students undertaking this course will be exposed to a variety of programming languages/tools that may include R, Python, SPSS, Excel, Weka and RapidMiner.
As a graduate of this course you will be able to:
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.
2019 Graduates used the course to upskill or gain employment in roles such as Data Analyst, BI/Data Specialist, Data Scientist, Business Operations Analyst, Data and Reporting Analyst, Match Analyst, Web Insights Analyst, Risk Analyst, Project Manager, Financial Reporting Supervisor, Associate BI and Analytics Consultant, Digital Audience Analyst, Global Sales Operations Director. 47% of graduates who were in employment successfully transitioned during or following the course. 3 graduates who were unemployed attained graduate level employment. 4 graduates went on to do the Postgraduate Diploma in Data Analytics.
Companies who hired NCI 2019 graduates included: Bank of Ireland (Data Analyst), Permanent TSB (Data Analyst), Gannon Homes (BI/ Data Specialist), Irish Life (Data Scientist and Project Manager), Intesa Sanpaolo Life (Business Operations Analyst), VHI (Data and Reporting Analyst), IRFU (Match Analyst), Ryanair (Web Insights Analyst and Digital Audience Analyst), Facebook (Risk Analyst), SEI (Financial Reporting Supervisor), Accenture (Associate BI and Analytics Consultant), AMCS (Global Sales Operations Director).
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. Applicants under 21 will be assessed based on Leaving Certificate or equivalent.
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.
Students apply for either blended or online (2 year course) options on www.springboardcourses.ie. It is not possible to transfer options post registration.
As the College will follow Government health advice when we re-open for the 2020/21 academic year, some changes to previously advertised delivery methods during the first semester will include online delivery of classes, which will replace classroom delivery in part or to a greater extent, depending on the course.
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.
The online version of this course requires internet access you will be required to ensure you have sufficient broadband speed and reliable connectivity from your place of study.
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.
According to a recent Higher Education Outcomes Report released by the CSO, ICT graduates receive the highest weekly earnings five years after graduating compared to other sectors based on the analysis of the destinations of students who graduated between 2010 and 2016.
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 exams. This varies between modules but typically assessment is 50% continuous assessment and 50% exam.
Please note that in some instances exams may take place in the daytime and at weekends.
Classroom Delivery Option
There will be two groups for this programme:
Online Delivery Option
(1 & 2 years)
Three evenings per week 18.00 - 22.00
Please note that exams can be scheduled during the morning, afternoon or evening Monday to Saturday.
This course runs over 1 calendar year; 3 semesters.
This course runs over 2 calendar years; 4 semesters.
This course costs €4,500 (fees revised annually).
You can spread the cost of this course with a direct debit plan.