MSc Data Science and Statistical Learning

Course description

The MSc in Data Science and Statistical Learning provides an exciting opportunity for students with a quantitative background to specialise in the rapidly expanding field of data science, with an emphasis on statistical perspectives.

The course modules have been carefully developed with a focus on statistics and computing to assist students in developing skills in statistical modelling, data visualisation and interpretation, database management, statistical programming, network analysis and predictive algorithms. Students are also provided with an opportunity to specialise in more applied elements of data science through the undertaking of a research project and dissertation.

Course Objectives

• Enable graduates of quantitative disciplines to redirect their training towards the rapidly growing field of data science.
• Provide students with a fundamental grounding in the key skills of data science including; data manipulation, data interrogation and visualisation, statistical modelling, and scientific computation.
• Give students with technical research and presentation experience, through the undertaking of a research project and writing of an MSc dissertation.

Careers

Data science skills are some of the most highly sought after by employers both nationally and internationally. There is a rapidly increasing demand for individuals with strong proficiencies in data analysis and scientific computation.  Examples of potential fields of employment (and employers) include:

• ICT (e.g. Apple, Facebook, Google, Linkedin, Microsoft, Tenable, TikTok);
• Financial services and management consulting (e.g. Accenture, AIB, Aon, Bank of Ireland, Deloitte, EY, KPMG,  PWC, Zurich);
• Manufacturing and pharmaceuticals (e.g. Abbott, Eli Lilly, Glanbia, Johnson & Johnson, Regeneron);
• Research and development roles in a wide variety of applied fields, as well as strengthening applicant candidacy for application to PhD courses.