Course summary
Choose the MSc Business Analytics programme to support your career progression if your aim is to generate and capture greater competitiveness in data-driven business. You’ll appreciate our technology-aided learning-by-doing teaching style, academic rigour and authentic experiential learning. You don’t need previous experience of analytics skills, or the technology enablers needed to deploy them. Instead, you can join our pre-courses which equip you with the minimum knowledge, such as Python and R Programming, before you start your one year MSc Business Analytics Programme. You’re likely to already have at least an upper second class degree, or the equivalent, in a subject that includes quantitative topics, such as actuarial science, business, computer science, economics, engineering, finance, geography, mathematics, psychology, sociology, statistics or any other quantitative social science.
Entry requirements
Students with a degree that includes quantitative topics are sought and such degrees are: actuarial science, business, computer science, economics, engineering, finance, geography, mathematics, psychology, sociology, statistics or any other quantitative social science. GMAT is not required for application, but may be requested as a condition of offer at the discretion of the Admissions Panel. Some basic knowledge of stats or quants preferred
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
City (City St George's, University of London)
Northampton Square
City of London
EC1V 0HB