Big Data: Mathematical Modelling

Online Course

Future Learn
Big Data: Mathematical Modelling

What is the course about?

Big Data: Mathematical Modelling
The course Big Data: Mathematical Modelling is an online class provided by Queensland University of Technology through Future Learn. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn how to apply selected mathematical modelling methods to analyse big data in this free online course.

Course description
  • Learn how mathematics underpins big data analysis and develop your skills.
  • 3 weeks
  • Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analysing large datasets. We begin by explaining how maths underpins many of the tools that are used to manage and analyse big data. We show how very different applied problems can have common mathematical aims, and therefore can be addressed using similar mathematical tools. We then introduce three such tools, based on a linear algebra framework: eigenvalues and eigenvectors for ranking; graph Laplacian for clustering; and singular value decomposition for data compression.
  • Introduction to key mathematical concepts in big data analytics: eigenvalues and eigenvectors, principal component analysis (PCA), the graph Laplacian, and singular value decomposition (SVD)
  • Application of eigenvalues and eigenvectors to investigate prototypical problems of ranking big data
  • Application of the graph Laplacian to investigate prototypical problems of clustering big data
  • Application of PCA and SVD to investigate prototypical problems of big data compression
  • Identify big data application areas
  • Explore big data frameworks
  • Model and analyse data by applying selected techniques
  • Demonstrate an integrated approach to big data
  • Develop an awareness of how to participate effectively in a team working with big data experts
  • This course is designed for anyone looking to add mathematical methods for data analytics to their skill set. We provide a multi-layered approach, so you can learn about the methods even if you don’t have a strong maths background, but we provide further information for those with a sound knowledge of undergraduate mathematics. We will assume basic MATLAB (or other) programming skills for some of the practical exercises.
  • Queensland University of Technology
  • QUT is a leading Australian university ranked in the top 1% of universities worldwide by the 2019 Times Higher Education World University Rankings. Located in Brisbane, it attracts over 50,000 students.

Prerequisites & Facts

Big Data: Mathematical Modelling

Course Topic

Business & Management, Data Analytics, Data Science, Science, Engineering & Maths

University, College, Institution

Queensland University of Technology

Course Skill Level

Course Language


Place of class

Online, self-paced (see curriculum for more information)



Degree & Cost

Big Data: Mathematical Modelling

To obtain a verified certificate from Future Learn / Queensland University of Technology you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Queensland University of Technology
Big Data: Mathematical Modelling
provided by Future Learn


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Big Data: Mathematical Modelling
Queensland University of Technology Future Learn
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School: Queensland University of Technology
Topic: Business & Management, Data Analytics, Data Science, Science, Engineering & Maths