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MSC BUSINESS ANALYTICS
With organisations now realising that data analytics is a critical competitive capability for survival in today's era of Big Data and Artificial Intelligence, this 12-month programme is ideal for students who'd like to solve business problems through quantitative data analytics.
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- Qualification
- Master Of Science Degree
- CAO/MU Apply code
- MH48D
- Award Type and NFQ level
- TAUGHT MASTERS (9)
- Study Mode
- Full time
- Closing Date
- 14 August 2026
Overview
This programme is for students who would like to solve business problems through quantitative data analytics. Organisations today realise that data analytics is a critical competitive capability to survive in the new era of Big Data and Artificial Intelligence. Businesses now have abundance of data at their disposal generated from traditional functions such as sales and operations, but also, more recently, from social media and the Internet of Things. That has made the volumes and variety of data of value to businesses very large, effectively dubbed as the Big Data era.
Mining data and finding insights of value to businesses is a crucial process to move from raw and seemingly messy data, to organised insights supporting evidence-based management. For example, classifying free-text tweets of consumers opinions of a certain company’s product into positive, neutral and negative sentiments can help the company identify potential issues and deal with them in a proactive manner.
This MSc in Business Analytics is for graduates with degrees that include quantitative techniques such business, management, mathematics, physics, and others, who would be interested in applying quantitative analytics in business, including in commercial, governmental and non-governmental organisations. The Big Data analytics market is set to grow with a rise in demand for data analytics jobs. This programme enables students to bridge their business analytics skills gaps and get ready to contribute to this exciting and growing data-based economy.
Additional Resources
Please check out the Postgraduate Open Day Page for details on our upcoming open days and postgraduate information and resources shared at previous open days which includes information on fees, funding, scholarships and student life.
Course Commences: September (application code MH48D) or January (application code MH58D)
Course structure
Duration: 1 year full-time
Course Duration: 12 months (full-time)
The programme is intensive with a focus on hands-on learning experience. It is made up of eight taught modules. Modules cover the foundations of business analytics (Principles of Business Analytics, and Predictive Analytics), real-world analytics projects with an organisation (Analytics Live), analytics applications and socio-technical implications (Marketing Analytics, Contemporary Issues in IT, and People, Organisations & Society), in addition to Core Experiences modules (Career Planning and Development, and Evidence-Based Management). For details on module overviews, learning outcomes, teaching and learning methods and assessment please visit Course Finder.
Our approach to learning involves active engagement in problem solving, individually and collectively. We have two semesters of taught modules, during which each module is taught over four days. These four days will be time-tabled three to four weeks apart so that learning can occur between the individual teaching days and permits for reflection on content and the completion of projects and tasks, and supported by access to lecturer insights via office hours and online supports as necessary.
Disclaimer
The modules below are indicative of the content associated with this course of study.
The modules are subject to change as the curriculum is revised and reviewed annually.
Important: The information on this page is for prospective students, MU current students and staff should use Programme Directory.
Careers after your Masters
This programme will equip students with a distinctive capability to understand business analytics in terms of what it can do, but also how it works, so they can adapt their knowledge to various challenges they face in their future careers. The programme offers a dedicated module to career planning and development so students can develop their own career strategy. Career paths include roles such as business analysts, analytics associates, business intelligence engineers, operations analysts and product analysts, among others.
Entry Requirements
Applicants must hold a minimum of a bachelor's degree (NFQ Level 8) (or equivalent) with a minimum of a second-class honours, grade 2 (2:2) in a discipline which includes quantitative techniques as part of the degree (including the ability to undertake statistical analysis of data). Examples of such degrees include business studies, management science, economics, finance, accounting, engineering, mathematics, physics, computer science and other sciences. Please note that this degree is quantitative in nature and therefore applicants do need to have a basic level of quantitative capabilities, hence the requirement for a degree with modules that have a quantitative element within them.
Applicants who do not hold a primary degree but has at least 10 years relevant work experience may apply via Maynooth University's RPL process for Non-Standard Entrants. Please click here for further information.
Applicants for whom English is not their first language are required to demonstrate their proficiency in English in order to benefit fully from their course of study. For information about English language tests accepted and required scores, please see here. Please be advised criteria may differ for EU and Non-EU applicants.
Maynooth University's TOEFL code is 8850
How to apply
To apply for your chosen postgraduate study at Maynooth University, applications must be made via the MUApply portal. Please click here to start your application.
- January entry (application code MH58D)
- September entry (application code MH48D
When making your application, please ensure you upload the below documentation to your application prior to submission to avoid delays in application assessment:
- Full academic transcripts for all semesters/ years completed to date
- Graduation Certificate if you have graduated/conferred
- A copy of your passport
- Up to date CV
- Personal Statement (minimum 500 words on why you would like to study your chosen programme)
Applicants for whom English is not their first language are required to demonstrate their proficiency in English in order to benefit fully from their course of study. For information about English language tests accepted and required scores, please see here. Please be advised criteria may differ for EU and Non-EU applicants.