Master of Science - Business Analytics and Big Data Logo

Master of Science - Business Analytics and Big Data

University of Dundee - City Campus

Nethergate, Dundee, United Kingdom

392886

Last updated: 30/05/2025
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Image for University of Dundee - City Campus
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Image for University of Dundee - City Campus
Image for University of Dundee - City Campus
University of Dundee - City Campus Logo

About Master of Science - Business Analytics and Big Data

Business Analytics is about using data for strategic decisions. It involves analysing data for insights to improve operations and service delivery. When combined with good management, data can boost competitiveness.

Business Analytics transforms data into insights for better decisions. Analytical skills are crucial today, valued and in high demand.

Throughout the course Students will,

  • learning about data analysis and business analytics models
  • learn to make better data lead business decisions
  • understand the ethical considerations and best practices in data analysis
  • explore advanced topics such as machine learning and predictive analytics
  • learn about data storage and processing technologies used in big data environments
  • understand the principles of data mining and machine learning algorithms used in big data analytics
  • gain insights into data security, privacy, and ethical considerations in big data analytics

    The course is open to business and non-business graduates. It teaches you to use the latest analytical and quantitative tools to make smart business decisions with data. It also covers the ethical use and management of data. It looks at the impact on society and individuals. A background in computing is not required but this option may be more suited to graduates who are more interested in computing science areas.
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Cost and Duration


Program Level
Master's Degree
Average Graduate Diploma
1 Year Master's Degree
Cost of Living
£13,347.00 GBP / Year
Gross Tuition
£23,000.00 GBP / First Year
Application Fee
No data available

Program Intakes

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