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.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
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 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.
Application Details
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.
Fees
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
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.
Duration
Course Delivery
This course is delivered fully online over two semesters but participants will be required to attend campus once per semester for exams.