MSc in Business Analytics
A quantitative master’s programme for solving business challenges through advanced data analytics and AI-driven insights.
Best for:Best for graduates or professionals with a quantitative background who want to specialise in business analytics, data science, or AI-driven decision-making in corporate or consulting environments.
Overview
This master’s programme at Maynooth University is designed for students seeking to leverage data analytics to address complex business problems in the era of Big Data and artificial intelligence. The curriculum integrates quantitative techniques, statistical analysis, and computational methods to equip graduates with the skills needed to drive strategic decision-making in organisations. Applicants should have a strong foundation in quantitative disciplines, such as economics, engineering, computer science, or related fields. The programme balances theoretical knowledge with practical applications, preparing students for careers in analytics, consulting, or data-driven leadership roles. It caters to both recent graduates and experienced professionals through its Recognition of Prior Learning (RPL) process for non-standard entrants.
What you'll do
- Develop and apply advanced statistical and computational techniques to solve business problems.
- Analyse large datasets to extract actionable insights for strategic decision-making.
- Utilise AI and machine learning tools to model business processes and predict trends.
- Collaborate with industry partners or organisations to address real-world data challenges.
- Develop data visualisation skills to communicate findings effectively to stakeholders.
- Engage in independent research projects or case studies to deepen expertise in business analytics.
- Participate in group projects to simulate real-world business environments and problem-solving.
Requirements
Degree required: A bachelor’s degree (NFQ Level 8 or equivalent) with at least a second-class honours, grade 2 (2:2), in a quantitative discipline such as business studies, management science, economics, finance, accounting, engineering, mathematics, physics, computer science, or other sciences. The degree must include modules with a quantitative element and the ability to undertake statistical analysis of data.
Degree offered: MSc in Business Analytics
Language: English proficiency (not explicitly stated but implied for academic programme)
Instruction: English
- Strong quantitative and analytical skills
- Proficiency in statistical analysis and data modelling
- Basic programming or computational skills (e.g., R, Python, SQL)
- Ability to interpret and visualise complex data sets
- Familiarity with business processes and management principles
- Applicants without a primary degree may apply via Maynooth University’s RPL process if they have at least 10 years of relevant work experience.
- No nationality or residency restrictions mentioned.
Funding & terms
Programme and admissions
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How to apply
Applicants must submit their application through Maynooth University’s postgraduate application portal. Required documents typically include a CV, academic transcripts, a personal statement, and proof of English proficiency if applicable. For non-standard entrants, additional documentation related to work experience may be required.
- CV
- Academic transcripts (bachelor’s degree)
- Personal statement
- Proof of English proficiency (if required)
- Letters of recommendation (if applicable)
- Proof of relevant work experience (for RPL applicants)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.