Business Analytics with specialisation in Management Science

Companies need people who can take data and transform it into a powerful strategic asset. This specialisation provides a rigorous, practical foundation in the key skills needed to unlock the value of data, and an in-depth understanding of how companies can use data to make decisions and improve business performance.

Business Analytics (with specialisation in Management Science) is taught by UCL School of Management (in conjunction with UCL Computer Science). It combines modules that explore how data and analytics are transforming key areas of business (decision-making, strategy, marketing, operations) with modules that provide the mathematical and computational skills needed to make effective use of the latest business analytics tools.

Students undertake modules to the value of 180 credits.

The programme consists of six core modules (90 credits), two optional modules (30 credits) and a dissertation/report (60 credits).

Core modules

• Business Strategy and Analytics
• Marketing Analytics
• Mathematical Foundations for Business Analytics
• Programming for Business Analytics
• Predictive Analytics
• Operations Analytics

Optional modules

Students take two optional modules from a selection of elective modules offered by the UCL School of Management and the UCL Department of Computer Science. Possible electives, subject to agreement, will cover topics including software engineering, practical machine learning, project management and social network analytics.

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 15,000 words.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, tutorials and project work. Assessment is through unseen written examinations, coursework and the dissertation.

A minimum of an upper second-class UK Bachelor’s degree or an overseas qualification of an equivalent standard. Applicants must have a strong aptitude for quantitative analysis and are likely to have studied a range of degrees including: management, mathematics, engineering, computer science, economics, and psychology.