MSc Data Science and Statistical Learning From University of Limerick

Program Overview

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.


  Course Duration

12 Months

  Tuition Fee



IELTS: 6.5 TOEFL: 90


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Autumn Semester

  • Statistical Inference for Data Science
  • Fundamentals of Statistical Modelling
  • Scientific Computation
  • Database Systems in Practice
  • Text Analytics and Natural Language Processing

Spring Semester

  • Statistical Learning
  • Quantitative Research Methods for Science, Engineering and Technology
  • Networks and Complex Systems
  • Applied Big Data and Visualisation
  • Artificial Intelligence and Machine Learning

Summer Semester

  • Research Project Students will specialise their dissertation studies in one of the three sub-disciplines: Mathematics and Statistics, Electronic and Computer Engineering, or Computer Science and Information Systems

The minimum entry requirement is a 2:2 undergraduate degree (Level 8 - National Qualifications Authority of Ireland) (or equivalent) in Mathematics, Statistics, Computer Science, or other relevant quantitative discipline, 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. 

Tuition Fees

These are based on ResidencyCitizenshipCourse requirements.

Review the three groups of criteria to determine your fee status as follows

  1. Residency
    • You must have been living in an EU/EEA member state or Switzerland for at least 3 of the 5 years before starting your course
  2. Citizenship
    • You must be a citizen of an EU/EEA member state or Switzerland or have official refugee status
  3. Course Requirements (all must be met)
    • You must be a first time full-time undergraduate (Exceptions are provided for students who hold a Level 6 or Level 7 qualification and are progressing to a Level 8 course in the same general area of study).
    • You must be undertaking a full-time undergraduate course of at least 2 year’s duration
    • You cannot be undertaking a repeat year of study at the same level unless evidence of exceptional circumstances eg serious illness is provided (in which case this condition may be waived)


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


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