Business Analytics (Taught)

1st in the UK for annual research income (Chartered Association of Business Schools 2025)
Top 20 in the UK for Business and Economics (The Times Higher Education World University Rankings by Subject 2025)
Top 50 in Europe (QS World University Rankings: Global MBA Rankings 2025)

Learn to thrive in today’s data-driven business world. You’ll learn to turn complex data sets into valuable insights that inform successful business decisions.

Many industries rely on business analytics to optimise operations, improve customer experiences and gain a competitive edge. Skills in business analytics, data interpretation and strategic decision-making are in increasing demand.

You’ll learn from University of Sussex Business School faculty with strong industry links. On the course you’ll:

• gain confidence to make strategic decisions using data-driven insights

• learn to use business analytics tools, programming languages such as Python, data visualisation software such as Tableau and AI applications for businesses

• get experience communicating complex analytical findings through visualisation tools, reports and presentations

• collaborate in team-based projects, demonstrating strong problem-solving and communication skills.

We’ll also teach you about ethical and sustainable data practices. You’ll be able to assess the ethical, social and legal implications of business analytics in a global context.

The course includes a consultancy project. You’ll work with a business to analyse complex datasets, identify challenges and develop actionable insights. You’ll also learn through guest lectures and industry seminars.

The Business School has committed to the principles of Responsible Business Education (PRME). By integrating advanced data analytics with sustainable practices, we aim to prepare you to be a leader who can use data for positive social and economic impact.

This course is for graduates and professionals who want to bridge the gap between business and data science. It will appeal to those with a background in business, economics, finance, computer science, logistics, marketing. It will also appeal to entrepreneurs who want to leverage analytics to grow their businesses.