Data Analytics

Laptop Requirements
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. A suitable configuration is 6GB of RAM (8GB or more are recommended); a 64-bit x86 processor (Intel i5 or superior); 250+ GB of hard disk; WiFi card; and a recent installed release of Windows operating system. It is the responsibility of the student to ensure their laptop is functioning correctly and that they have full administrator rights to the machine. NCI IT cannot provide support for personal devices.

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.

Who is the course for?
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.

Award and Progression
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.

Entry requirements

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.


Part-time Schedule
Indicative Schedule Three evenings per week 18.00 - 22.00 and some Saturdays

Duration This course is 3 semesters delivered over 1 calender year

Careers or further progression

Students who successfully complete this course may be eligible to progress to a major award at level 9 on the NFQ.

Further enquiries

For Further Information Contact:
The Admissions Team
Telephone: 1850 221 721

Subjects taught

• Introduction to Data Analytics
• Business Analysis and Communication
• Business Data Analysis
• Programming for Big Data
• Data and Web Mining
• Advanced Business Data Analysis
• Data Visualisation (Elective)
• Domain Skills (Elective)
• Project


Location: IFSC Campus

Course fee

€4,500 (Fees revised annually)

Enrolment and start dates

Start Date: September 2018

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