About Mathematical Data Science Msc in University of Surrey

Data science has become increasingly important in many areas over the past two decades. These include banking, finance, insurance, weather forecasting, image analysis, genomics, advertising, transport and elections. The discipline is even used in policing and crime prevention. Data sets can unravel all kinds of facts, trends, anomalies and patterns – but only with the right technical skills!

Mathematical data science is an interdisciplinary area of applied mathematics. It combines methods and techniques from a broad range of pure and applied subjects within maths to develop approaches that enables us to investigate large data sets. These techniques include:

• Data representation
• Information theory
• Machine learning optimisation
• Modelling
• Numerical methods
• Statistical analysis
• Stochastics.

The objective of our MSc in Mathematical Data Science is to guide you through a range of sophisticated mathematical ideas underlying modern data science. You’ll understand the mechanisms for modelling data-producing dynamical phenomena. We’ll also equip you with both the theoretical and the computational skills to analyse and extract information from large data sets.zz

Academic qualification equivalents

• Applicants must have a bachelor’s degree 

English language requirements 

• IELTS : 6.5
• TOEFL IBT: 88
• PTE : 59

University of Surrey Highlights

University of Surrey Cost of Attendance

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