Programme Details

The programmes listed lead to awards in the NFQ. The provider that offers the programme will have full details.

Code

PG24480

Title

Master of Science in Data Analytics

Programme Purpose

This is a level 9 taught Masters in Data Analytics with an exit award of Postgraduate Diploma in Data Analytics and a series of 10 ECTs minor award Certificates. The MSc in Data Analytics (90 ECTS) is designed for full-time, part-time, domestic and international, level 8 (Irish NQF) major award-holders or equivalent in ICT/computing disciplines seeking to develop their knowledge, skills and competence in the area of Data Analytics. The programme is a post graduate computing degree designed to produce graduates with the attributes required of Data specialists today 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 elements only, may be entitled to receive the embedded exit award of a Post Graduate Diploma in Science in Data Analytics. Graduates will be qualified to assume advanced industry roles and/or to further their education at level 10. The programme utilises a carefully designed blended learning programme schedule with modules focussed on advanced Data Analytics topics. The design and development of modules within this programme were informed by industry consultation (appendix 2). The programme consists of 6 x 10 ECTS modules and a 30 ECTS supervised applied Data Analytics project. 60 ECTS of the programme comprise 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 our 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 would also be required to attend a number of 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. Summative assessment is a blend of integrated assessment and module specific assessment utilising both group and individual work, while formative assessment is pipelined into module delivery and feedback, so as not to add to the assessment burden of students. The incorporated learning from all modules aims to produce industry ready graduates and learners who are prepared for academic progression in this fast-developing discipline. Students who successfully complete all the taught elements and wish to exit the programme at that stage may be eligible for the embedded award of Post Graduate Diploma in Science in Data Analytics. To achieve an MSc award, the programme continues with a 30 ECTS supervised Data Analytics solution development group project allowing students to apply their knowledge from the 60 ECTS taught modules elements to a specialised applied Data Analytics problem. The problem to be researched will be industry-initiated real world problems and will be provided by our industry contacts and used as the context for planning, designing, building and testing potential analytical solutions. The project culminates in a peer presentation and solution demonstration. There will be an opportunity for students to present a poster presentation of their work to industry representatives to informally evaluate and discuss solutions with learners, further enhancing the professionalism of the learner and engaging industry in the programme. This module incorporates learning from all modules in the taught components and aims to ready learners for industry and/or academic Data Analytics / Science work. To achieve an MSc award, the programme continues with a 30 ECTS supervised Data Analytics solution development group project allowing students to apply their knowledge from the 60 ECTS taught modules elements to a specialised applied Data Analytics problem. The problem to be researched will be industry-initiated real world problems and will be provided by our industry contacts and used as the context for planning, designing, building and testing potential analytical solutions. The project culminates in a peer presentation and solution demonstration. There will be an opportunity for students to present a poster presentation of their work to industry representatives to informally evaluate and discuss solutions with learners, further enhancing the professionalism of the learner and engaging industry in the programme. This module incorporates learning from all modules in the taught components and aims to ready learners for industry and/or academic Data Analytics / Science work.

Duration Description

NFQ Level(s)

9

EQF Level(s)

7

Programme Credits

90

Location

Dublin City

Delivery Modes

PEL Applies

Yes

PEL Arrangements

Alternate Providers

What is PEL?

First Intake Date

01-09-2021

Last Intake Date

31-08-2026

Centres offering Master of Science in Data Analytics

Name Address Contact Website
CCT College Dublin 30-34 Westmoreland St, Dublin 2, D02 HK35 01 6333444

www.cct.ie