Course summary
The programme combines advanced mathematics with data science methodologies to tackle complex real-world problems. You’ll develop analytical, computational, and problem-solving skills, alongside expertise in mathematical modelling and data science tools. The flexible curriculum allows you to tailor your learning, and the extended industry-inspired research project provides hands-on experience in applying these skills, preparing you for high-level careers or PhD study. Who is this course for? This course is ideal for graduates with a strong mathematical background who want to expand their expertise by integrating modern data science techniques. It is perfect for those aspiring to careers in data-driven industries, research, or further academic pursuits.
Entry requirements
UK Applicants should hold a minimum of a lower second class honours degree or the equivalent from an international institution in mathematics, mathematical sciences or physics. Engineering and Computer Science students with substantial mathematical modules may also be considered.
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