BSc Mathematics and Statistics with Data Science

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Campus
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Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
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Course Overview

This BSc Mathematics and Statistics with Data Science degree equips you with the powerful combination of mathematical theory, statistical rigor, and modern data science techniques needed to solve complex real-world problems. You will learn to bridge the gaps between these three interconnected disciplines, preparing you for a high-demand career in a data-driven world. The course is accredited by the Institute of Mathematics and its Applications, setting you on the path to becoming a Chartered Mathematician.

Key Program Highlights

  • Master the interconnected disciplines of mathematics, statistics, and data science within a single, unified program.
  • Learn to process, analyze, and extract valuable insights from complex, real-world datasets using advanced methods.
  • Develop highly sought-after skills for careers in finance, business, climate science, medicine, and AI.
  • Enhance your employability through a dedicated skills module focused on transferable and professional competencies.
  • Earn an accredited degree that meets the educational requirements for the Chartered Mathematician designation.

Requirements

The requirements may vary based on your selected study options.





















Modules

  • Real Analysis I
  • Calculus
  • Foundations of Mathematics
  • Linear Algebra
  • Mathematical Communication
  • Probability and Statistics
  • Differential Equations
  • Linear Models and Data Analysis
  • Probability and Statistical Theory
  • Numerical Analysis I
  • Mathematical Modelling and Professional Skills
  • Algebra
  • Programming in Python
  • Real Analysis II
  • Mathematical Methods and Physical Applications
  • Advanced Statistical Modelling
  • Methods of Machine Learning
  • Portfolio of Projects
  • Probability and Measure
  • Applied Stochastic Processes
  • Numerical Analysis II
  • Number Theory and Cryptography
  • Dynamical Systems and Applications
  • Asymptotic Methods
  • Further Topics in Algebra
  • Topics in Pure and Applied Mathematics
  • Mathematical Physics
  • Image Analysis and Visual Intelligence
  • Data Integration and Information Visualisation
  • Computer Graphics, Games and Virtual Reality
  • Text Mining and Natural Language Processing
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Tuition fee
Apply by
Start date
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted