Diploma in Data Analytics Course Overview and Audience
Data Analytics is among a set of emerging and rapidly developing technologies termed Innovation Accelerators, which have been identified as being critical to the next wave of digitalisation. According to Gartner’s Hype Cycle 2019, over the next decade, data analytics and AI will augment workers’ efficiency, as companies rely on leading tech to beat out competitors. Learners who complete this course will be equipped with machine learning techniques that are an essential component of data analytics. The module builds on and draws from the Fundamentals of Statistics for Data Analysis which provides learners with the ability to identify the fundamental nature of a data analytical problem. Through Data Exploration and Preparation participants obtain in-depth understanding of the rationale for data exploration and the methods used to explore data, while Data Visualisation and Communication provides the skills needed to present a variety of different types and volumes data and to display directly the results of learning achieved in previous modules.
This modular course will appeal to a range of adult learners who may or may not be currently in employment and wish to up-skill, or returners and other groups who may wish to re-skill and are seeking to develop their knowledge in data analytics on a flexible modular basis. It will give those working in IT, marketing, finance and other industries a knowledge of data analytics which will help enable them to make better business decisions.
- Fundamentals of Statistics for Data Analytics
- Data Exploration and Preparation
- Data Visualisation and Communication
- Machine Learning I
Those who are in employment/working :
For eligible applicants who are currently in employment/working 90% of the tuition fees will be covered by the HEA and the remaining 10% is payable by the student or their employer.
- The Course Tuition Fee is €2,200 so €220 euro is payable by the student or their employer
Those who are unemployed, formerly self-employed and ‘Returners’:
The course is free and 100% funded for eligible applicants who are unemployed, formerly self-employed or who are classified by the HEA as ‘Returners’ or ‘Homemakers’.
Admission to this modular programme is through one of the following:
Evidence of prior learning, including experiential learning,
Possession of an NFQ level 5 award, including leaving certificate, FET award, or equivalent.
In addition, all applicants must evidence competence in mathematics equivalent to O6 standard in leaving certificate and competence in the use of IT. Basic computer literacy is not sufficient for this programme.
International applicants whose first language isn’t English must demonstrate a minimum competency in the English Language of CEFR B2+.
Applicants are encouraged to apply for entry based on prior learning (RPL) or prior experiential learning (RPEL) in line with the College policy. The College will thoroughly assess applications received through RPL and RPEL to ensure that candidates are able to evidence learning to an appropriate standard – normally the framework level equivalent to the direct entry qualification requirement and demonstrate potential to succeed and benefit from the programme.
This course will be delivered online. Online activities can include live or pre-recorded lectures, independent learning and assessment activities such as research tasks, discussion forums, simulations, quizzes and e-portfolio work along with online group activities such as live classes, group project work, virtual labs and tutorials.