Qualification : HIGHER DIPLOMA
Award Type and NFQ level : HIGHER DIPLOMA (8)
CAO/PAC code : MHR66
CAO Points :
Closing Date : 30 June 2024
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Data analytics/science is the science of extracting insight from large amounts of raw data in order to enable better understanding of the processes that created it and so help in analysis, theory exploration and decision making. These techniques can be applied in the natural science, social science and business domains.
The Higher Diploma in Data Analytics is a new, purpose designed course which has been carefully designed to address industry needs. The course is a collaboration between the Departments of Mathematics & Statistics, Computer Science and the National Centre for Geocomputation.
The modules are designed to give students the knowledge and skills to collect, process, analyse and visualise data in order to extract useful information, explore statistical patterns, test hypotheses, and explore the implications of models.
This course is eligible for significantly reduced or free fees under the Springboard funding initiative. Further details and application are available via the Springboard website.
Springboard plus is co-funded by the Government of Ireland and the European Union
Applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level. The degree should be at level 8 in any subject with some mathematical content. The course is not suitable for those with a primary degree in Statistics or Computer Science.
Minimum English language requirements: please visit Maynooth University International Office website for information about English language tests accepted and required scores. The requirements specified are applicable for both EU and non-EU applicants.
National University of Ireland Maynooths TOEFL code is 8850
Applicants also have the opportunity to apply through Recognition of Prior Experiential Learning.
Please visit https://www.maynoothuniversity.ie/records/student-registration for further information
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Department of Social Sciences Institute (MUSSI)
Department of National Centre for Geocomputation (NCG)
Department of Mathematics and Statistics
Students will gain skills in programming, statistics and databases, followed by an advanced module on statistical machine learning. The course includes material on the social and ethical consequences of the use of data and the implications for business and government. Applications from many industry sectors will be explored in our Case studies module. In the Project module, students will put these technical skills in to practice. They will also gain experience in report writing, presentations and teamwork. Our Workplace preparation module will help students transfer these skills to the workplace.
Online application only
There are two online application routes for this programme:
- via Springboard: To check your eligibility for free or significantly reduced fees via Springboard entry, please visit
https://springboardcourses.ie/eligibility. To apply via Springboard, register here.
- via the Postgraduate Applications Centre (PAC): http://www.pac.ie/maynoothuniversity
PAC Code
MHR66
The following information should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:
Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.
Please only apply via one entry route, Springboard or PAC.