Code

PG26478

Title

Higher Diploma in Science in Data Analytics

Programme Purpose

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 Higher Diploma in Science in Data Analytics is a one year full-time, two years part-time programme that aims to educate and prepare a diverse group of learners in applying the transferable skills that they have obtained as part of their original degree to specific computing / ICT skills in their chosen area of specialisation. 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. However, as a transversal skill, Data Analysis can be applied across a variety of disciplines, for example in financial services. Learners will benefit from theoretical knowledge fundamental to apply advanced analytics in web and business application, predictive modelling, statistics, programming, machine learning, and advanced visualisation to data sets through a variety of tools and techniques in order to generate actionable insights for stakeholders and support strategic decision making. The programme provides learners with an opportunity to gain experience of analysing, researching and solving real-world ICT projects through work placement and project work. The Higher Diploma in Science in Data Analytics is a one year full-time (two semesters) and a two year part-time (four semesters) programme providing foundational computing and advanced data analysis skills that will enable learners to develop and interpret complex data sets using various techniques related to data modelling, visualisation and machine learning that can be applied to various industries and specific use cases. The programme aims to provide solid theoretical and practical foundations that will enable learners to apply programming techniques, algorithms, and problem-solving techniques, but also demonstrate the learner’s capacity to demonstrate the findings to both technical and non-technical audiences. According to Deloitte practical guide (2017), “Compared to traditional reporting and dashboarding, analytics causes a paradigm shift within organisations that will require new behaviours. People will need to collaborate more, new processes will need to be developed, and managers and executives will need to trust the decision support that analytics will provide them.” This programme engenders an awareness of the importance of transversal skills such as communication, collaboration and project management for data analysts and graduates will be able to apply these skills through formative and summative assessments, which capture the resilience and agility required of graduates in contemporary and diverse environments.

Duration Description

NFQ Level(s)

8

EQF Level(s)

6

Location

Dublin City

Delivery Modes

PEL Applies

Yes

PEL Arrangements

Insurance Product

What is PEL?

Details

Validation Documents

Certificate of Validation, Panel Report