This Master of Science in Data Analytics is a one-year full-time or two-year part-time Level 9 programme primarily aimed at students with strong numeracy skills who wish to extend their skillset to a more advanced level of theoretical knowledge and practice and to further develop their research capabilities and innovation skills in the area of Data Analytics. The programme takes an integrative approach, focusing on the synthesis of knowledge and practice from specialist areas within the data analytics and computing domains.
The aim of this programme is to produce highly-skilled graduates with expertise that cuts across the core disciplines of Mathematics, Statistics and Computer Science. It emphasises the critical connection from data to information, from information to knowledge, and from knowledge to decision making, encompassed in the Data-Lifecycle.
The educational aim is to develop students' analytical, critical thinking, problem-solving and communication skills and to foster their research capabilities and innovation skills in the area of Data Analytics.
The primary aim is to develop expert knowledge in aspects of data required to become highly-skilled Data Analysts: with modules in Statistics, Data Visualisation, Time Series, Data Architecture, Machine Learning, Statistical Programming and Ethics in Data.
The standard minimum entry requirement is a 2.2 Honours Degree (NFQ Level 8) or equivalent in the area of Mathematics, Statistics, Computing, Engineering, Science or equivalent qualification in a cognate discipline, which included a minimum of 15 credits in Mathematics and Statistics and 10 credits of programming centric modules. The Higher Diploma in Science in Data Analytics Level 8 award is seen as an entry route to this programme.
You need to complete 90 credit hours to successfully obtain this degree. Please check detail of study units at https://www.dkit.ie/courses/school-of-informatics-and-creative-arts/computing-science-and-mathematics/msc-postgrad-in-data-analytics.html
A Postgraduate Diploma in Science in Data Analytics (60-credit NFQ Level 9 qualification) is awarded following the successful completion of Semesters 1 & 2 of the Master in Science in Data Analytics.
All applicants are advised that advanced numeracy skills and proficiency in programming are essential for success on the MSc in Data Analytics. Students will be assumed to have strong mathematical/ statistical ability and be capable programmers.
You can join one of the following careers: