MSc Data Science and Statistical Learning
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. The objectives of the course are:
- To enable graduates of quantitative disciplines to redirect their training towards the rapidly growing field of data science.
- To 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.
- To provide 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 programmes
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. The objectives of the course are:
- To enable graduates of quantitative disciplines to redirect their training towards the rapidly growing field of data science.
- To 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.
- To provide 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 programmes
