Data Science and Statistical Learning - MSc

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 minimum entry requirement is a 2:2 undergraduate degree (Level 8 - National Qualifications Authority of Ireland) (or equivalent) in Mathematics, Statistics, Physics, or other relevant quantitative discipline with a strong mathematical/statistical component, or equivalent qualification that is recognised by the University as meeting this requirement. The University reserves the right to shortlist and interview applicants as deemed necessary.

The MSc in Data Science and Statistical Learning requires a strong foundation in mathematics from the prior programme of study, where the expectation is that candidates excelled in their mathematical subjects; previous experience of statistical programming is an advantage but is not required.

WHAT TO INCLUDE WITH YOUR APPLICATION

• Qualification transcripts and certificates
• A copy of your birth certificate or passport
• If your qualifications have been obtained in a country where English is an official language this will suffice
• If this is not available, the following additional documents must be provided:
• English translation of your qualification(s)/transcripts AND
• English language competency certificate
• Please click here for Further Information on English Language Requirements

Guidelines on Completing your Application

• To ensure a speedy assessment of your application, please upload the above documents with your application form – your application cannot be assessed until relevant documentation is uploaded

• Please title appropriately any documents you are uploading with the application form, for example "Supporting Statement", "Undergraduate Transcript", "Postgraduate Transcript", "English Language Certificate" etc.

International students can find more information on eligibility requirements here.