Business Analytics and Management MSc

School of Business

Empower strategic decision-making with analytics. You will learn data analytics and management principles for organisational success

Start date
September 2024
Duration
12 months (full time)
Location
Dundee City Campus

This is a pathway of our Business Analytics MSc course

Business Analytics is about using data for strategic management 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 you will,

  • learning about data analysis and business analytics models
  • learn to make better data-lead business decisions
  • understand ethical considerations and best practices in data analytics within a managerial context
  • understand how data analytics can inform and support managerial decision-making processes
  • explore techniques for analysing organizational data to optimize processes and workflows
  • explore the use of data-driven approaches for resource allocation and budgeting

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. 

Global internships

As part of this degree, you will have the opportunity to do an eight-week internship matched to your chosen industry in China, Vietnam, or Manchester (UK)
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Association to Advance Collegiate Schools of Business (AACSB)

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AACSB accreditation ensures that business schools meet the highest standards of excellence in teaching, research, curriculum, and learner success.

Business Analytics degrees

You can choose to study one of the following degrees, with the option being open to change your choice upon arrival at the University:

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