MSc Business and Data Analytics
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Course overview
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Starts: Sep 2026
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Duration: 1 year
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Mode: Full-time
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Fees: UK: £9,750 (2026/27) / International: £18,500 (2026/27)
Transform data into strategy.
With many companies still navigating big data, this course focuses on data analytics, data mining, AI, and machine learning techniques to equip graduates to meet industry needs.
Why study this course?
- Develop a deep and systematic understanding of data analytics
- Analyse and critically evaluate business strategies and digital transformations that incorporate creative technologies
- Apply and analyse big data and cloud technologies to drive creative and strategic decisions, supporting the dynamic needs of an industry
- Foster a culture of continuous innovation by staying current with emerging technologies and applying them to business challenges
- Employ advanced research, data analytics, and visualisation techniques to generate actionable insights that fuel creativity
- Harness the ability to critically evaluate and apply state-of-the-art computing techniques in complex and unpredictable business scenarios.
This course equips students with the skills to use data for informed business decisions, a key factor for success in any industry. By integrating advanced data analytics with business strategy, the programme prepares graduates to solve real-world challenges, from analysing consumer behavior to assessing project impacts.
The curriculum combines technical expertise in data science, AI, and data mining with strong business acumen. Students will learn to manage complex data systems, use big data and cloud technologies, and apply analytical methods to solve business problems. The hands-on, project-based approach ensures students gain experience with industry-standard tools and are prepared to drive innovation and provide strategic insights across various sectors.
Delivered at Ravensbourne University London, this course incorporates design thinking and collaborative problem-solving, setting graduates apart as forward-thinking analytics professionals.
Classes are held Monday to Friday, between 9:00am and 9:00pm, including some evening sessions.
Ideal for...
analytical professionals who want to develop connections between business strategy and data science.
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Key study topics
- Data analysis and understanding big data
- Consumer behaviour
- Creative and research-based thinking
- Artificial Intelligence, data mining and machine learning
- Data governance
- Cloud technologies