MSc in Data Analytics
Prepare for a career in data science with a multidisciplinary master’s programme in data analytics at Queen’s University Belfast.
Best for:Best for graduates with a background in mathematics, statistics, computer science, or related disciplines seeking to specialise in data analytics and data science for industry applications.
Overview
This MSc in Data Analytics programme at Queen’s University Belfast equips graduates with the technical and analytical skills needed to thrive in data-driven industries. The curriculum integrates mathematics, statistics, computer science, and applied analytics to address real-world challenges. Students engage in hands-on projects, developing expertise in data extraction, interpretation, and strategic decision-making. The programme is designed for professionals aiming to enter or advance in analytics, data science, or related technical fields. Strong mathematical foundations and practical experience are central to the curriculum, ensuring graduates are industry-ready.
What you'll do
- Develop advanced skills in data extraction, processing, and analysis using cutting-edge tools and techniques.
- Apply mathematical and statistical methods to solve complex real-world problems in data analytics.
- Engage in hands-on projects to develop expertise in data-driven decision-making and predictive modeling.
- Learn to design and implement data pipelines and visualization tools for effective communication of insights.
- Collaborate on interdisciplinary projects that integrate computer science, statistics, and domain-specific applications.
- Prepare for careers in data science, analytics, and related technical fields through industry-aligned curriculum.
Requirements
Degree required: Normally a 2.1 Honours degree in Mathematics, Statistics, Computer Science, Computer Applications, or a closely related discipline, or an equivalent qualification acceptable to the University. Applicants with a minimum 2.2 Honours degree in a cognate discipline, a 2.1 Honours degree in a non-cognate discipline, or who have not yet completed their degree may be considered on a case-by-case basis.
Language: English; IELTS score of 7.0 with no less than 6.0 in any component, or an equivalent qualification acceptable to the University (taken within the last 2 years).
Instruction: English
- Significant mathematical ability and proficiency in quantitative analysis
- Experience or coursework in programming, data analytics, or AI development
- Strong analytical and problem-solving skills
- Ability to work with large datasets and apply statistical methods
- Applicants must meet the minimum degree requirements or provide evidence of relevant technical experience.
- International students must satisfy UK Visas and Immigration (UKVI) immigration requirements for English language proficiency.
- Applicants with non-standard qualifications may be considered under the University’s Recognition of Prior Learning (RPL) policy.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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How to apply
Deadline: 2026-06-30
Applicants must submit their application through the Queen’s University Belfast postgraduate application portal. A deposit may be required to secure a place. Ensure all required documents, including academic transcripts, proof of English proficiency, and a statement of purpose, are uploaded. Late applications may be considered only if vacancies remain after the deadline.
- CV or resume
- Academic transcripts (Bachelor’s and Master’s if applicable)
- Proof of English language proficiency (IELTS or equivalent)
- Statement of purpose or personal statement
- Two letters of recommendation (if applicable)
- Deposit to secure a place (if required)
Contact
Postgraduate Admissions Office· Admissions Contact
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