MSc Business Analytics
Equip yourself with advanced data-driven skills to transform business decisions through end-to-end analytics solutions.
Best for:Best for graduates with a quantitative background or relevant work experience seeking to specialise in business analytics and data-driven decision-making.
Overview
The MSc Business Analytics programme at Queen’s University Belfast is designed to meet the growing demand for professionals skilled in leveraging data for strategic business decision-making. This programme equips students with expertise in developing end-to-end business analytics solutions, covering data analysis, modelling, and implementation. It is ideal for graduates from diverse backgrounds who wish to specialise in quantitative methods and apply them to real-world business challenges. The curriculum integrates theoretical knowledge with practical applications, ensuring graduates are industry-ready. The programme also caters to professionals seeking to enhance their careers through relevant quantitative experience.
What you'll do
- Develop and implement end-to-end business analytics solutions to address real-world business challenges.
- Apply quantitative methods and data analysis techniques to support strategic decision-making.
- Work with large datasets to extract meaningful insights and derive actionable business strategies.
- Collaborate with industry partners to understand and solve practical business problems.
- Utilise advanced tools and software for data modelling, visualisation, and predictive analytics.
- Engage in case studies and projects that simulate real business environments.
Requirements
Degree required: Normally a 2.2 Honours degree or equivalent qualification in any discipline, including one module in a quantitative area (e.g., Finance, Mathematics, Statistics, Economics, Accounting, Engineering, or Physics) or a quantitative dissertation. Relevant employment experience in a quantitative area may be considered in lieu of a module.
Language: English; IELTS score of 7.0 with no less than 6.0 in any component, or equivalent qualification acceptable to the University (taken within the last 2 years).
Instruction: English
- Proven ability in quantitative analysis or relevant coursework (e.g., modules in Finance, Mathematics, Statistics, Economics, Accounting, Engineering, or Physics).
- Experience or coursework in data analysis or quantitative research methods.
- Proficiency in using data analysis tools and software.
- Ability to interpret and communicate data-driven insights effectively.
- Open to graduates with a 2.2 Honours degree or equivalent.
- International students must meet UK Visas and Immigration (UKVI) English language requirements for visa purposes.
- No specific nationality restrictions, but international applicants may need to pay a deposit to secure a place.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2026-08-14
Applicants are advised to apply as early as possible through the university’s official application portal. The application process involves submitting academic transcripts, proof of English proficiency, and a personal statement. International applicants may also need to pay a deposit to secure their place. The application portal may close early if the programme receives a high volume of applications.
- CV or resume
- Academic transcripts (Bachelor’s degree and any relevant Master’s degree)
- Proof of English language proficiency (e.g., IELTS score)
- Personal statement or statement of purpose
- One module transcript or evidence of quantitative coursework/dissertation
- Relevant employment experience documentation (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.