Data Analytics

Dundalk Institute of Technology


Course Name Data Analytics
Course Provider Dundalk Institute of Technology
Course Code Dk_ICDAN_9
Course Type Postgraduate
Award NameNFQ ClassificationAwarding BodyNFQ Level
Degree - Masters (Level 9 NFQ)  More info... Major Dundalk Institute of Technology Level 9 NFQ
Apply To Course provider
Attendance Options Full time, Part time, Online or Distance, Blended
Location (Districts) Dundalk
Qualification Letters MSc
Application Date You should apply using the DkIT Postgraduate Application. Please include an up-to-date CV with your application form and send your completed application to Admissions Office, Dundalk Institute of Technology, Dublin Road, Dundalk, Co. Louth.
Application Weblink Web Page - Click Here
Duration 1-2 Years (Full time or Part-time).

Course Delivery
This course is delivered fully online over two semesters but participants will be required to attend campus once per semester for exams.
Financial Support

Expand+Tax Relief / Other Funders
Tax relief at the standard rate of tax (20%) is available for certain tuition fees on courses which lead to third-level awards.

For further information visit to receive a copy of form IT31. This applies onl...

Entry Requirements Minimum Entry Requirements
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 includes 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.
Number of Places 20
Course Summary 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.
Course Content

Expand+Course Description
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 skill-set to a more advanced level of theor...

Subjects Taught Data Architecture (part 1 of 2)
Programming for Data Analytics
Research Process for Data Analytics
Data Architecture (part 2 of 2)
Data Visualization and Insight
Time Series Analysis
Machine Learning
Ethics in Data Analytics
Research Project

Further information on module content can be found on course webpage at
Number of Credits 90 credits @ Level 9
Careers or Further Progression Career Opportunities
These career paths can take place in many different sectors and industries including areas such as research; academia; business; finance; banking; healthcare; pharmaceuticals; commercialism; and technology.

Graduates from MSc in Data Analytics can find Industry roles such as Data Analyst, Data Scientist, Data Engineer, Data Architect, Business Data Analyst, Data Visualisation developer and Statistician.
Further Enquiries Dr Fiona Lawless (Head of Computing Science and Mathematics)
Phone: +353 42 9370200

Dr Jack McDonnell (Programme Director)
Course Web Page Web Page - Click Here