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MSC IN BUSINESS ANALYTICS
- Qualification
- Master Of Science Degree
- CAO/MU Apply code
- MH48D
- Award Type and NFQ level
- TAUGHT MASTERS (9)
- Study Mode
- Full time
- Closing Date
- 27 August 2027
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.
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 who hold a minimum of a Bachelor Honours degree (NFQ Level 8) (or equivalent) with a minimum of a Second-Class Honours, Grade 2 (2:2) in Business Studies, Management Science, Economics, Finance, Engineering, Technology, Mathematics, Physics or Computer Science. Applicants must have a minimum of 50% in Maths in Engineering or Technical degrees and 60% in Maths in Business-related degrees.
Applicants with fails or repeats in math modules after year one of their Bachelor degree will not be considered for the programme.
If you do not meet the standard entry requirements then you may be eligible to apply under the University's Recognition of Prior Learning (RPL) policy. Please click here for further information.
English Language requirements
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.
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 prepare any documents listed below. You may be required to submit documents in two stages. You will be required to upload and submit the following documents with your application:
- Full academic transcripts for all semesters/ years completed to date
- Graduation Certificate if you have graduated
- A copy of your passport
- Up to date CV
If English is not your first language, you may be required to upload evidence of English language proficiency. For information please click here.