The Higher Diploma in Data Analytics is a new programme that has been designed to address industry needs. The modules provide students with 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.
Data Analytics
Entry requirements
Applicants must have a recognised honours primary degree equivalent to an 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.
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.
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.
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.