Course Summary
The Higher Diploma in Science in Data Analytics provides the practical knowledge and skills in the area of computing and data science for learners who wish to upskill or reskill in this area. The programme aims to develop learners' knowledge of the theory and practice of Data Analytics necessary for them to secure employment and perform as graduate level ICT /Data Analytical practitioners in a broad range of commercial, industrial and public sector environments.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
• A Level 8 primary undergraduate honours degree with a minimum Pass classification from a recognised third level institution in a non-cognate area and ideally be able to demonstrate mathematical problem solving skills as part of previous programme learning. i.e. maths at Leaving Cert level would suffice.
Or
• A minimum Level 7 Ordinary Bachelor’s degree in a cognate area such as computer science,technology, networking, information systems, engineering, general science, mathematics, statistics, data science.
Or
• Applicants who do not have a Level 8 qualification and who have at least 3 years’ work experience may also be considered through the college’s normal RPL procedures. Relevant professional experience may be taken into account and individuals will be assessed on a case - by-case basis through DBS RPL procedures.
Application Details
We are now accepting applications for programmes taking place in 2025.
Next Intake dates:
January 2025
September 2025
Fees
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
A number of Government Strategies and individual Expert Group on Future Skills Needs (EGSFN) reports states that the field of Data Analytics will generate 18,000 extra jobs between 2013-2020 in various ICT sectors including Software, Data Analytics, Financial Services, Distribution. Data Analysts are in strong demand from industry; those who are successful in completing the course are highly employable in fields as diverse as healthcare, finance and insurance, as well as cloud computing.
Roles types that may be suitable for graduates include:
• Senior Data Analyst
• Data Engineering and Analytics
• Financial Analyst
• Power BI Data Analyst
• Consulting: Data Analyst
• Lead Business Analyst
Duration
Study Mode: Full-time
Delivery
For full-time students all learners are expected to attend in class in person.
For part-time students this programme is taught on a hybrid basis. This means learners are timetables either in-class or online, in a mix of online and in-class days.