Business Analytics

The MSc Business Analytics is designed for curious, ambitious individuals who want to turn complex data into meaningful decisions. Whether you're a recent graduate or an early career professional, this course suits those with backgrounds in:



Business and Commerce

Engineering and Computer Science

Economics and Finance

Mathematics, Physics or Data Science

If you enjoy solving problems, working with numbers, and creating impact through evidence-based decision-making, you’re likely a strong fit.



You don’t need to be a coding expert before joining - just a willingness to learn and a solid foundation in analytical thinking. The course is particularly suited to those aiming for careers in business intelligence, data-driven strategy, digital transformation, or performance analytics in fast-evolving sectors.



Whether you want to future-proof your skillset, influence strategic decisions, or contribute to global challenges with data, the MSc Business Analytics gives you the tools to lead in a data-centric world.

Subjects taught

Optional MG557: Strategic Management - 5 Credits - Semester 1

Optional MS804: Systems Development & Project Management - 5 Credits - Semester 1

Optional MS806: Business Applications Programming - 5 Credits - Semester 1

Required MS5128: Decision Theory, AI and Analytics - 5 Credits - Semester 1

Required MS805: Database Systems - 5 Credits - Semester 1

Required MS5107: Business Modelling and Analytics - 5 Credits - Semester 1

Required MS5105: Statistical Techniques for Business Analytics - 5 Credits - Semester 1

Required MS5131: Major Business Analytics Project - 30 Credits - Semester 1

Required MS5130: Applied Analytics in Business and Society - 5 Credits - Semester 2

Required MS5126: Philosophy of Information and Information Ethics - 5 Credits - Semester 2

Required MS5129: Storytelling through Data Visualisation - 5 Credits - Semester 2

Required MS809: Enterprise Systems - 5 Credits - Semester 2

Required MS5106: Data Science and Big Data Analytics - 5 Credits - Semester 2

Required MS5114: Advanced Programming for Business Analytics - 5 Credits - Semester 2

Entry requirements

Normally a H2.1 degree (NFQ Level 8 or equivalent). However, candidates with a H2.2 honours degree and who have a minimum of 2 years relevant work experience will also be considered.. IELTS score of 6.5 or equivalent, if applicable. The qualification must include an element of quantitative techniques, for example, graduates of Business Studies, Engineering, Computer Science, other Sciences, Mathematics or other courses that have some quantitative content.

Application dates

Applications must be completed online at: https://nuigalway.elluciancrmrecruit.com/Apply/Account/Login.



An application requires a registration fee of €35. You will be asked to upload proof of identification, academic transcripts, a personal statement, an academic reference and documentation to fulfil the English requirement (where English is not your first language).

Duration

1 year full-time.

Enrolment dates

Next start date: September 2026

Post Course Info

Graduates of the MSc in Business Analytics at University of Galway are entering a rapidly expanding field where data-driven decision-making is transforming industries across the globe. The programme equips students with the technical, analytical, and strategic skills needed to thrive in a variety of roles and sectors.



Sectors & Employers:



Business analytics professionals are in high demand across multiple sectors, including:



Technology & Software: SAP, Dell Technologies, Genesys

Healthcare & Life Sciences: Optum, Johnson & Johnson, MSD Dunboyne

Finance & Banking: Bank of Ireland, Citi Group, AIB

Consulting & Professional Services: EY, PwC, Accenture

Telecommunications & Mobile Services: Anam Technologies

Public Sector & Law Enforcement: An Garda Síochána

Startups & SMEs: Regional employers in Galway and across Ireland

More details
  • Qualification letters

    MSc

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime

  • Apply to

    Course provider