QQI Level 8 Higher Diploma in Science in Data Analytics
Classroom - Evening
Springboard+ Admissions DepartmentEmail Phone
Dublin Business School,
13/14 Aungier Street,
Dublin Business School (DBS) under the Government Springboard+ initiative is providing graduates with the opportunity to apply for a Government Funded accredited Level 8 ICT skills conversion programme, with a Higher Diploma award. Our Higher Diploma in Data Analytics has been identified as providing specialised ICT training that will offer graduates a realistic prospect of a graduate level entry into the ICT sector and produce graduates that genuinely satisfy the needs of industry.
The Higher Diploma in Science in Data Analytics will provide graduates with the theoretical and practical skills required to meet the demands of industry. This programme will enable learners to apply those transferable skills developed as part of their original degree to specific IT and Data Analytics area.
The Higher Diploma will observe the following structure:
Core Modules in Semester 1:
- Databases and Business Applications
- Statistics for Data Analytics
- Data Warehousing and Business Intelligence
- Programming for Big Data
- Tools for Data Analytics
Core Modules in Semester 2:
- Data visualization and communications
- Data and web mining
- Advanced data analytics
- Industry related project
- Students will undertake a redit bearing industry related project
The overall aim of the programme is to provide graduates with the underpinning academic knowledge to enhance their educational and employment opportunities and to achieve the award of a Higher Diploma in Science in Computing in Data Analytics.
The part-time programme will run over 2 academic years, 2 evenings per week and some weekends.
There is a global shortage of the skilled professionals required to fill direct high-end jobs in this area and the report, Assessing The Demand For Big Data And Analytics Skills, identifies measures to build up the Big Data and analytics talent pool in Ireland over the period up to 2020 in line with enterprise demand.
The 21,000 potential job opportunities for skilled professionals could arise under the report’s high growth scenario, from both expansion and replacement demand in the period up to 2020 - comprising 3,630 for deep analytical roles and 17,470 for big data savvy roles.
Role types that may be suitable for graduates include:
Data Analytics Manager
To be considered for admission to this programme, applicants must hold a Primary Honours Degree (Level 8) in a cognate discipline from a recognised third level institution or equivalent qualification.
Candidates will ideally be able to demonstrate technical or mathematical problem solving skills as part of previous programme learning. Typically, holders of more technical, numerate degrees are likely to gain a higher ranking in any order of merit in selection for the programme.
Typical disciplines which would fall into this category would be:
Some candidates will also have gained a Level 8 qualification in a programme with a significant IT component and/or significant numerate element. Such programmes vary greatly in mathematical and information technology content and assessment would be by detailed examination of subject content, assessments and syllabi.
Typical programmes which would fall into this category could include:
• Management Information Systems
In addition, an IELTS score of a minimum 6.0 or equivalent is required, where full-time study has been conducted in a language other than English or for applicants whose first language is not English.
Recognition of Prior Learning (RPL)
Learners may also access this course on the basis of recognition of prior learning or by assessment of prior experiential learning/informal learning. The process is implemented within the relevant school, by the relevant Head of School/Department or nominee and is overseen by the Registrar. For this particular programme applicants will be considered on a case-by-case basis in relation to their educational record, work experience, their ability to demonstrate technical or mathematical problem solving skills and a capacity to successfully participate in the programme.
Typically students will attend two evenings per week and some Saturday attendance is required per semester.
Springboard + Admissions OfficeAddress
Dublin Business School,
13/14 Aungier Street,
Learners may also access this course on the basis of recognition of prior learning or by assessment of prior experiential learning/informal learning. The process is implemented within the relevant school, by the relevant Head of School/Department or nominee and is overseen by the Registrar. For this particular programme applicants will be considered on a case by case basis based on their educational record, work experience, their ability to demonstrate technical or mathematical problem solving skills and a capacity to successfully participate in the programme.
For more information on these Springboard programmes please visit our website below