Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

INF 610 Big Data and Analytics: Reading list

INF 610 Big Data and Analytics 

Department:  PhD in Computer Science 
Module Description: This module provides students with an opportunity to gain an in depth understanding of the theories and issues on analytics and big data. The course will cover how big data is collected, stored, and analysed. Students will also learn about the main challenges faced when dealing with big data. Practical case studies will be used for illustration.

Module text(s)

  • There is no textbook. 


Recommended readings





  • Hans Rosling, The Joy of Stats
  • Pat Hanaran, Tools for Data Enthusiasts


Ask a Librarian for help to find and evaluate resources