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Maynooth University

Data Analytics

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.

Entry requirements

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 Maynooth's TOEFL code is 8850

Duration

1 year full-time

Careers or further progression

Careers
The Data Analytics jobs market is expanding in Ireland. Jobs are available in any industry or sector that collects data, ranging from IT, to Healthcare, Finance, Food science and Travel.

Further enquiries

Further information
www.maynoothuniversity.ie/mathematicsand-statistics/postgraduates

Subjects taught

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. In the project module, students will put these technical skills in to practice and gain experience in presentations and report writing. A workplace preparation module will help students transfer these skills to the workplace.

Comment

Mathematics and Statistics
The Department of Mathematics and Statistics is a strong research community of academics and postgraduate researchers working in research groups specialising in algebra and number theory, geometric analysis, mathematics education and statistics.

Application date

All applications should be made through the PAC system.

Closing Date : 30 June 2019

Course fee

In general, there are two levels of fees payable. EU students from EU countries including Ireland pay a subsidised level of fees for both taught courses and research programmes. Tuition fees for students from outside the EU are not subsidised and are thus somewhat higher than for EU students.