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The increase in the volume, variety, and velocity of data creates opportunities for businesses to improve decision making and develop new data driven products and services. MSc Business Analytics has been developed to meet the demand for qualified professionals, who possess the necessary expertise to realise end-to-end business analytics solutions and are equipped to utilise data for business decision-making purposes.
The programme is built around the three core areas needed to succeed in analytics: business knowledge, statistics, and computing. This includes modules focusing on the application of analytics in core business functions such as marketing and human resources, as well as modules focusing on developing and applying technical skills such as advanced analytics and machine learning, data management, and data driven decision making. In total, students will study eight modules in addition to pre-course training and a final dissertation project. The dissertation project will involve the application of the business, technical, and statistical skills learnt during the taught modules.
The programme will include an induction course, where pre-course training in key statistics and computer skills will ensure students from a range of backgrounds have the necessary skills to undertake the course.
Program overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The increase in the volume, variety, and velocity of data creates opportunities for businesses to improve decision making and develop new data driven products and services. MSc Business Analytics has been developed to meet the demand for qualified professionals, who possess the necessary expertise to realise end-to-end business analytics solutions and are equipped to utilise data for business decision-making purposes.
The programme is built around the three core areas needed to succeed in analytics: business knowledge, statistics, and computing. This includes modules focusing on the application of analytics in core business functions such as marketing and human resources, as well as modules focusing on developing and applying technical skills such as advanced analytics and machine learning, data management, and data driven decision making. In total, students will study eight modules in addition to pre-course training and a final dissertation project. The dissertation project will involve the application of the business, technical, and statistical skills learnt during the taught modules.
The programme will include an induction course, where pre-course training in key statistics and computer skills will ensure students from a range of backgrounds have the necessary skills to undertake the course.
Admission Requirements
6.5+
90+
62+
176+
3.2+
Normally a 2.1 Honours degree or equivalent qualification acceptable to the University in any discipline to include one module in a quantitative area* or quantitative dissertation. Relevant employment experience in a quantitative area may be considered in lieu of a module in a quantitative area and will be considered on a case-by-case basis.
*This could be a course or module in a broad range of quantitative areas such as Finance, Mathematics, Statistics, Economics, Accounting, Engineering or Physics. Equivalent content from across multiple modules will also be considered.
15 Aug 2025
1 Year
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic Students
8,800 GBP
-
International Students
25,800 GBP
-
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 Business Analytics
Queen’s University Belfast, Belfast, United Kingdom
12 monthsProgram duration
25,800 GBPTuition Fee/year
15 Aug, 2025Application Deadline
Business AnalyticsMain Subject Area
Program overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The increase in the volume, variety, and velocity of data creates opportunities for businesses to improve decision making and develop new data driven products and services. MSc Business Analytics has been developed to meet the demand for qualified professionals, who possess the necessary expertise to realise end-to-end business analytics solutions and are equipped to utilise data for business decision-making purposes.
The programme is built around the three core areas needed to succeed in analytics: business knowledge, statistics, and computing. This includes modules focusing on the application of analytics in core business functions such as marketing and human resources, as well as modules focusing on developing and applying technical skills such as advanced analytics and machine learning, data management, and data driven decision making. In total, students will study eight modules in addition to pre-course training and a final dissertation project. The dissertation project will involve the application of the business, technical, and statistical skills learnt during the taught modules.
The programme will include an induction course, where pre-course training in key statistics and computer skills will ensure students from a range of backgrounds have the necessary skills to undertake the course.
Program overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The increase in the volume, variety, and velocity of data creates opportunities for businesses to improve decision making and develop new data driven products and services. MSc Business Analytics has been developed to meet the demand for qualified professionals, who possess the necessary expertise to realise end-to-end business analytics solutions and are equipped to utilise data for business decision-making purposes.
The programme is built around the three core areas needed to succeed in analytics: business knowledge, statistics, and computing. This includes modules focusing on the application of analytics in core business functions such as marketing and human resources, as well as modules focusing on developing and applying technical skills such as advanced analytics and machine learning, data management, and data driven decision making. In total, students will study eight modules in addition to pre-course training and a final dissertation project. The dissertation project will involve the application of the business, technical, and statistical skills learnt during the taught modules.
The programme will include an induction course, where pre-course training in key statistics and computer skills will ensure students from a range of backgrounds have the necessary skills to undertake the course.
Admission Requirements
Normally a 2.1 Honours degree or equivalent qualification acceptable to the University in any discipline to include one module in a quantitative area* or quantitative dissertation. Relevant employment experience in a quantitative area may be considered in lieu of a module in a quantitative area and will be considered on a case-by-case basis.
*This could be a course or module in a broad range of quantitative areas such as Finance, Mathematics, Statistics, Economics, Accounting, Engineering or Physics. Equivalent content from across multiple modules will also be considered.
Tuition fees
Domestic Students
International Students
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:
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.
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.
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School of Mathematics and Physics (16)
PhD Mathematics
PhD Mathematics
PhD Physics
PhD Physics
School of Mechanical and Aerospace Engineering (16)
PhD Aerospace Engineering
PhD Aerospace Engineering
PhD Mechanical Engineering
PhD Mechanical Engineering
School of Medicine, Dentistry and Biomedical Sciences (16)
PhD Dentistry
PhD Dentistry
PhD Medicine
PhD Medicine
School of Natural and Built Environment (16)
PhD Archaeology & Palaeoecology
PhD Archaeology & Palaeoecology
PhD Architecture
PhD Architecture
PhD Architecture (Practice-Based)
PhD Architecture (Practice-Based)
PhD Civil Engineering
PhD Civil Engineering
PhD Geography
PhD Geography
PhD Planning
PhD Planning
School of Nursing and Midwifery (16)
PhD Nursing and Midwifery
PhD Nursing and Midwifery
School of Pharmacy (16)
PhD Pharmacy
PhD Pharmacy
School of Psychology (16)
DClinPsych Clinical Psychology
DClinPsych Clinical Psychology
DECAP Educational, Child and Adolescent Psychology (DECAP - Doctorate)
DECAP Educational, Child and Adolescent Psychology (DECAP - Doctorate)
PhD Psychology
PhD Psychology
School of Social Sciences, Education and Social Work (16)
PhD Criminology
PhD Criminology
PhD Education
PhD Education
PhD Social Policy
PhD Social Policy
PhD Social Work
PhD Social Work
PhD Sociology
PhD Sociology