Leverage data and advance your career

It’s one thing to identify and extract insights from endless streams of data, but it’s quite another to harness big data as a tool to drive change.

Bridging the gap between data science and business management, the University of Bath’s Business Analytics online MSc equips you with the necessary technical skills and knowledge to advance your career. You’ll also gain the strategic, problem-solving and decision-making skills that are vital in today’s world.

Key information

  • Accreditation: EQUIS-accredited school
  • Ranking: University ranked 5th out of all UK-based courses for Business Analytics by the QS Business Masters Rankings 2020
  • Minimum ​duration: 2 years, 3 months
  • Start date: September, January and May
  • Entry requirements: A first or second class bachelor’s degree in a quantitative subject. Previous experience of programming is an advantage
  • International students: applicants must have an IELTS score of 7.0 with no less than 6.5 in any band

With units run in partnership with IBM and SAS, the course offers a powerful combination of academic understanding and practical insight.

I B M and S A S partnership logos

Ideal for working professionals with knowledge of programming, our 100% online course offers an opportunity to focus on both data and decision analysis, giving you an advantage in a world where data is key to resolving issues in almost every industry and sector. Our online MSc explores an invaluable combination of subjects, including data mining, machine learning and business intelligence. Understanding these subjects is key to fulfilling a host of rewarding managerial and consultancy business analyst roles.

Turn data into insight

The University of Bath’s EQUIS-accredited School of Management delivers this online MSc with a strong emphasis on generating and applying data insights. Rather than dwelling on speculative decision-making, the School specialises in mathematics-based prescriptive analytics, helping to ground your work in the real world. You’ll gain valuable knowledge to help you solve day-to-day challenges and communicate insights derived from data.

A Master of Science in Business Analytics not only sets you up with a deeper understanding of data science, it equips you with the business acumen to put data insights into practice and take your career to the next level.

University of Bath School of Management--


--is looking to train the business leaders of the future. To bridge the gap between big data and the business world. So you become an expert in the handling and analysis of big data, developing understanding, insight, transferable tools, and skills. You will become an expert in acquiring, cleaning, processing, and visualizing data, spreadsheet modeling, VBA programming, databases, business intelligence, and data mining.

Our MSc in business analytics prepares you for a career in a diverse range of sectors, including finance, health care, logistics, and marketing. Our course combines theory with practical business skills, enabling you to solve real-life business problems.

Through our partnerships with IBM and SAS, you'll immerse yourself in state-of-the-art business analytic software, develop your technical skills, critical understanding, creativity, and problem-solving skills to improve your employability, making you in high demand by global employers.

If you're ready to join our selective cohort, contact us to start your journey into big data.


What will you learn?

  • Understand analytical techniques and their application in international contexts
  • Evaluate current research, in particular, how data are collected and analysed
  • Identify operational, tactical and strategic resource management issues
  • Model and problem-solve managerial problems mathematically
  • Develop lateral-thinking techniques to solve problems and derive insights
  • Recognise and address ethical dilemmas from data mining and management
  • Become self-motivated to analyse, interpret and present data in new ways

Key online benefits

  • Engaging video material and real-life case studies
  • Interaction and networking with students and lecturers
  • Digital resources to support your studies and develop your career

Quick course facts

  • Minimum ​duration: 2 years, 3 months
  • Start date: May, September and January
  • Entry requirements: Typically, you should have a first or second class bachelor’s degree in a quantitative subject. Previous experience of computer programming is an advantage
  • International students: applicants must have an IELTS score of 7.0 with no less than 6.5 in any band