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In today’s digital economy, the ability to turn data into actionable insights is critical for effective decision-making across all areas of business. Business Analytics encompasses the tools, techniques, and frameworks that help organisations make faster, smarter, and more evidence-based decisions.
As companies increasingly depend on data to drive strategy, proficiency in Business Analytics has become essential for managers, analysts, and consultants alike. From enhancing operational efficiency to fuelling innovation and guiding growth, data-driven decision-making is now a core competency for modern business success.
The MSc in Business Analytics is designed to meet this growing demand. The programme equips students with both advanced analytical skills and strong business acumen, fostering a dual competency that is highly sought after by employers. Students learn to bridge the gap between complex data and strategic leadership—preparing them to thrive in roles that require both technical expertise and business insight.
Graduates emerge as versatile professionals, ready to add immediate value in data-driven environments across a wide range of industries.
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In today’s digital economy, the ability to turn data into actionable insights is critical for effective decision-making across all areas of business. Business Analytics encompasses the tools, techniques, and frameworks that help organisations make faster, smarter, and more evidence-based decisions.
As companies increasingly depend on data to drive strategy, proficiency in Business Analytics has become essential for managers, analysts, and consultants alike. From enhancing operational efficiency to fuelling innovation and guiding growth, data-driven decision-making is now a core competency for modern business success.
The MSc in Business Analytics is designed to meet this growing demand. The programme equips students with both advanced analytical skills and strong business acumen, fostering a dual competency that is highly sought after by employers. Students learn to bridge the gap between complex data and strategic leadership—preparing them to thrive in roles that require both technical expertise and business insight.
Graduates emerge as versatile professionals, ready to add immediate value in data-driven environments across a wide range of industries.
Admission Requirements
120+
92+
6.5+
63+
For admission to the MSc in Business Analytics, candidates must hold:
An NFQ Level 8 2.1 Honours degree (or higher) in a relevant discipline, such as Business, Economics, Mathematics, Engineering, Computer Science, or a related field, or an equivalent international qualification.
Applications from candidates with a 2.2 may be considered in exceptional circumstances, where there is strong supporting evidence of potential to succeed in the programme. Such applications will be reviewed on a case-by-case basis and will depend on the availability of places.
Applicants without a directly relevant degree or who do not hold an honours degree but have significant relevant industry experience will also be considered under DCU’s Recognition of Prior Learning (RPL) policy. Recognition of Prior Learning (RPL) applicants are required to submit a cover letter along with their application under the Transcripts section of the portal, affirming their intent to apply for RPL . For more information on RPL see here
01 Jul 2026
1 Year
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc in Business Analytics
Dublin City University, Glasnevin, Dublin, Ireland
12 monthsProgramme duration
01 Jul, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In today’s digital economy, the ability to turn data into actionable insights is critical for effective decision-making across all areas of business. Business Analytics encompasses the tools, techniques, and frameworks that help organisations make faster, smarter, and more evidence-based decisions.
As companies increasingly depend on data to drive strategy, proficiency in Business Analytics has become essential for managers, analysts, and consultants alike. From enhancing operational efficiency to fuelling innovation and guiding growth, data-driven decision-making is now a core competency for modern business success.
The MSc in Business Analytics is designed to meet this growing demand. The programme equips students with both advanced analytical skills and strong business acumen, fostering a dual competency that is highly sought after by employers. Students learn to bridge the gap between complex data and strategic leadership—preparing them to thrive in roles that require both technical expertise and business insight.
Graduates emerge as versatile professionals, ready to add immediate value in data-driven environments across a wide range of industries.
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In today’s digital economy, the ability to turn data into actionable insights is critical for effective decision-making across all areas of business. Business Analytics encompasses the tools, techniques, and frameworks that help organisations make faster, smarter, and more evidence-based decisions.
As companies increasingly depend on data to drive strategy, proficiency in Business Analytics has become essential for managers, analysts, and consultants alike. From enhancing operational efficiency to fuelling innovation and guiding growth, data-driven decision-making is now a core competency for modern business success.
The MSc in Business Analytics is designed to meet this growing demand. The programme equips students with both advanced analytical skills and strong business acumen, fostering a dual competency that is highly sought after by employers. Students learn to bridge the gap between complex data and strategic leadership—preparing them to thrive in roles that require both technical expertise and business insight.
Graduates emerge as versatile professionals, ready to add immediate value in data-driven environments across a wide range of industries.
Admission Requirements
An NFQ Level 8 2.1 Honours degree (or higher) in a relevant discipline, such as Business, Economics, Mathematics, Engineering, Computer Science, or a related field, or an equivalent international qualification.
Applications from candidates with a 2.2 may be considered in exceptional circumstances, where there is strong supporting evidence of potential to succeed in the programme. Such applications will be reviewed on a case-by-case basis and will depend on the availability of places.
Applicants without a directly relevant degree or who do not hold an honours degree but have significant relevant industry experience will also be considered under DCU’s Recognition of Prior Learning (RPL) policy. Recognition of Prior Learning (RPL) applicants are required to submit a cover letter along with their application under the Transcripts section of the portal, affirming their intent to apply for RPL . For more information on RPL see here
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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