MSc in Data Science and Analytics 2023-24  (PAC code MHR64)

This MSc is a 12 month conversion course designed to prepare students for the fast expanding job market in Data Science and Analytics. Students will gain the knowledge and skills to collect, process analyse and visualise data in order to extract useful information, explore patterns and evaluate models. The course is a collaboration between the Departments of Mathematics & Statistics,  Computer Science and the National Centre for Geocomputation.
Modules cover programming, statistics and databases, and advanced topics in modern 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 gain experience in report writing, presentations and teamwork. Students also do a 30-credit thesis.
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.
Graduates with Data Science skills are in short supply and the skill set is in high demand.
Moreover, the Data Analytics jobs market is expanding in Ireland. Data Analytics skills are needed in many activities, such as weather forecasting, scientific research, insurance calculations, stock market prediction, quality control, banking, among others. This is why jobs are available in any industry or sector that collects data, ranging from IT to Healthcare, Finance, Food science, Governmental Bodies, and Travel.
The MSc handbook giving further details is available here:
  MSc Data Science Handbook 2023/24
You may also be interested in our related programme, the Higher Diploma in Data Analytics.
Online application only
PAC Code: MHR64
If you need any additional guidance, please contact the programme director (