Code

PG26650

Title

Master of Science in Data Analytics

Programme Purpose

This is a Level 9 Taught Master of Science in Data Analytics with two embedded awards. The embedded Postgraduate Diploma in Data Analytics is to be offered as an exit or an ab initio award. The embedded minor award, a 20 ECTS Certificate, is to be offered as an exit award only. The Master of Science in Data Analytics (90 ECTS) is designed for full-time, part-time, domestic and international, level 8 (Irish NFQ) major award holders or equivalent in ICT/computing disciplines seeking to develop their knowledge, skills and competence in Data Analytics. The programme is a postgraduate computing degree designed to produce graduates with the attributes required of data specialists and the ability to continue to develop knowledge, skill and competence to remain competitive and employable in an ever-advancing sector. The programme consists of 60 credits of taught module work and 30 credits of an applied project. Learners who decide to leave the programme, after completing the taught modules only, may have the option of receiving the embedded exit award of a Postgraduate Diploma in Science in Data Analytics. Graduates will be qualified to assume advanced industry roles and/or to further their education at Master of Science Level 9 and/or 10. The programme utilises a blended learning programme schedule with modules focused on advanced Data Analytics topics. The design and development of modules within this programme were informed by consultation with industry. The programme consists of 7 modules equating to 60 credits, plus a supervised 30 ECTS credits applied data analytics project (Capstone module). 60 ECTS of the programme comprise of VLE, classroom and laboratory learning as well as interactive workshops. This is carried out within an industry focused environment. Industry-initiated real-world problems will be provided by industry supporters and used as the context for planning and designing assessment solutions, as well as being an aid for problem solving sessions. As a blended learning programme, students also attend several face-to-face sessions on campus, these may be distributed across lectures, labs and workshop sessions, integrating practical and theoretical learning. Subject areas include, programming, statistics, technology enabled data analysis using machine learning and artificial intelligence, data visualisation, research and ethical studies pertaining to the field as well as developing multiple transversal skills throughout the programme.

Duration Description

NFQ Level(s)

9

EQF Level(s)

7

Location

Dublin City

Delivery Modes

PEL Applies

Yes

PEL Arrangements

Alternate Providers

What is PEL?

Details

Validation Documents

Panel Report, Certificate of Validation