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 Technology or equivalent qualification in a cognate discipline, which provided a strong foundation in Mathematics/Statistics and computer applications.
Application Details
How To Apply
Apply Directly to DkIT
Apply directly to DkIT using our online applications system (see "Application Weblink" above). Please remember to upload the required documentation (copies of your existing qualification(s), your CV, any other support documents etc) with your online application to expedite your application. To avoid disappointment early registration is recommended.
Fees
EU Fees:
Full-time (EU): tbc
Part-time (EU): tbc
Non-EU Fees:
Full-time (EU): tbc
Part-time (EU): tbc
You may be eligible for financial support for this course through the Student Universal Support Ireland (SUSI) system.
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
The Post-Graduate Diploma in Data Analytics aims to address the urgent skills demands - it builds digital skills, develops critical thinking, analytical skills and business acumen in an area highlighted as crucial for the workplace of the future,
“Many of the fastest growing occupations and emerging industries require numeracy, knowledge of scientific and mathematical principles, as well as the ability to generate, understand and analyse empirical data and solve complex problems (UKCES, 2011). These skills make technological breakthroughs possible.”
It will address important issues in various modern Data Infrastructures through Machine learning and is well suited to data enthusiasts who are looking for opportunities across big data industries.
Graduates from the programme will be capable of assisting employers by providing analytical solutions that can give invaluable insights and trends in both public and private business sectors. The proposed programme has been specifically designed to provide local workers with upskilling opportunities, providing local companies with additional appropriately skilled graduates while at the same time improving the employability and mobility of individuals.
The focus on building expert knowledge and analytical skills and applying this to real- industry focused projects – from inception through all aspects of the data-life cycle - means students develop independent thinking and desired work-ready skills.
Duration
Course Delivery
This course is typically delivered on-campus and will be delivered in full-time mode.
16 Weekly Contact Hours (3 days a week).
24 Weekly hours - Directed/Independent Study.