Top Business Schools for a Master's in Business Analytics

Founded in 1949, Carnegie Mellon’s Tepper School of Business played a pioneering role in introducing management science as a new approach to solving complex business problems.  

The school’s approach brought scientific methods and analytical decision-making into business education, helping shape how leading business schools approach problem-solving today. 

The Tepper School’s nine-month full-time Master of Science in Business Analytics is a STEM-designated programme that combines analytics and AI with practical business applications.  

Through experiential learning courses, students work with organisations to analyse large datasets and present their findings to company executives and faculty, while also having opportunities to collaborate with students from across Carnegie Mellon on startup ideas at the Swartz Center for Entrepreneurship.

Fuqua School of Business aims to create practical action instead of just teaching concepts. It prioritises public trust and creating a relationship between a business and the consumer in order to produce business leaders that are able to navigate the wider world and use their skills and knowledge to make a difference.  

Duke Fuqua’s 10-month long STEM designated MQM: Business Analytics programme combines data analytics with a strong focus on business communication and decision-making.  

Students can apply their skills to real-world problems through case studies and data competitions, where they work with datasets, develop recommendations and present their findings to industry judges. 

London Business School has been based in London for over 60 years, giving its students direct access to one of the world’s major financial and business hubs.  

Its academic work has also had a tangible impact beyond the classroom, from LBS professors Paul Marsh and Elroy Dimson developing the FTSE 100 index to Professor Lucrezia Reichlin helping pioneer now-casting, a form of short-term forecasting used by central banks. 

The one-year Master’s in Analytics and Management brings together data science, machine learning and general management. Students get to work with real datasets on a live business project, while electives allow them to tailor their studies.  

Those looking for additional experience can also take an optional fourth term, which can include an international exchange or additional electives. 

Located in New York City, Columbia Business School has been developing business leaders for over 100 years, with a strong focus on addressing complex business challenges through research, industry connections and an inclusive learning environment.  

The MS in Business Analytics, offered jointly by Columbia Engineering and Columbia Business School, is a three-semester STEM-designated programme that can be completed within 12 months.  

A key part of the programme is its capstone project, where students work with clients on real business problems using real-world datasets, putting their data science and modelling skills into practice. 

With principles of collaboration, fearlessness and a desire for change, UCLA Anderson was founded in 1935 and later renamed after major funder John E. Anderson in 1987. It aims to equip its students to create real and lasting change and to have a positive impact on the business world by identifying problems and using innovative thinking to solve them. 

UCLA Anderson’s 15-month, STEM-certified Master of Science in Business Analytics combines data modelling, mathematics and coding with real-world business applications.  

Students gain practical experience through an internship and can apply their skills to a corporate client through the Applied Analytics Project, solving a real business problem while developing their communication and analytical skills.

The Master of Science Data Science & AI for Business offered jointly by HEC Paris and École Polytechnique, combines mathematics, modelling, statistics, IT and data visualisation with business strategy.  

The programme is structured across the two institutions, with students developing technical expertise at École Polytechnique before applying it to business challenges at HEC Paris. 

A key focus of the programme is learning by doing, with students moving from data analysis to strategic decision-making and ultimately to practical business implementation.  

The programme also explores how data science can be used to rethink business models, bringing students into contact with professors, industry practitioners and entrepreneurs from both institutions. 

MIT Sloan aims to teach its students the principles of good business instead of following current trends and popular opportunities. At the same time, it connects students to the newest technologies and global opportunities which give them a view into a future that they can help create.  

MIT Sloan’s 12-month Master of Business Analytics (MBAn) combines advanced data science with business decision-making, with the programme developed in collaboration with MIT’s Operations Research Center.  

A key part of the degree is the Analytics Capstone, where students get the opportunity to work with sponsor organisations in the US and abroad to solve real-world data challenges, applying what they learn with guidance from MIT faculty.