Course overview

  • Starts: September 2025
  • Duration: FT 1 year
  • Mode: Full-time

Find information on fees in The Specifics section.

Transform data into strategy.

This course is designed to teach students to leverage data in making business decisions, a key aspect of success for any business. The integration of advanced data analytics with business acumen ensures that students are ready to address real-world challenges in the relevant industries. With many companies still developing an understanding of their critical data, increasingly including big data, this course develops data analytics, data mining, artificial intelligence and machine learning techniques to help graduates address the needs of industry.*

*Source: Course is subject to validation and is therefore subject to change

hide title

Why study this master's in business and data analytics ?

  1. Develop a deep and systematic understanding of data analytics
  2. Analyse and critically evaluate business strategies and digital transformations that incorporate creative technologies
  3. Apply and analyse big data and cloud technologies to drive creative and strategic decisions, supporting the dynamic needs of an industry
  4. Foster a culture of continuous innovation by staying current with emerging technologies and applying them to business challenges
  5. Employ advanced research, data analytics, and visualisation techniques to generate actionable insights that fuel creativity
  6. Harness the ability to critically evaluate and apply state-of-the-art computing techniques in complex and unpredictable business scenarios.

The course is designed to equip students with the skills to leverage data in making informed business decisions, a key aspect of success for any business. The integration of advanced data analytics with business acumen ensures that graduates are prepared to address real-world challenges in the relevant industries. Whether it is analysing consumer behaviour in digital media or assessing the financial impact of a new project, the programme prepares students to unlock insights that are essential for driving innovation and strategic decision-making.

The course combines advanced technical skills in data science, data analytics, data mining and artificial intelligence with a strong foundation in business strategy and governance. Students will gain expertise in handling complex data systems, leveraging big data and cloud technologies, and applying advanced analytical methods to solve business problems. The course emphasises project-based, hands-on learning, allowing students to work with industry standard tools. By addressing the needs of industry, the programme ensures graduates are equipped to deliver strategic insights and drive innovation across diverse sectors.

Delivered in the creative and innovative environment of Ravensbourne University London, the program offers a distinctive edge by integrating design thinking and collaborative problem-solving approaches, setting graduates apart as well-rounded, forward-thinking analytics professionals ready to lead in the global marketplace.

Teaching sessions for this course will take place Monday to Friday between 9.00am and 9.00pm. As such, the course may include some evening teaching.

Ideal for...

analytical professionals who want to develop connections between business strategy and data science.

hide title

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

The specifics