DATA5002 is a Postgraduate Coursework Mathematics course primarily for students in the Data Science and Decisions Programs. Permission can be sought for other programs by emailing pg.mathsstats@unsw.edu.au.

See the course overview below.

Not permitted for School of Mathematics and Statistics Honours programs.  

Units of Credit: 6

Prerequisites: N/A

Cycle of offering: Term 2 2023

Graduate attributes:  

  • Produce appropriate high quality data visualisations using a variety of software packages and techniques
  • Critically evaluate and interpret data graphics
  • Apply data storytelling techniques to a range of problems
  • Communicate data insights effectively to a variety of audiences

For more information:  The Course outline will be made available closer to the start of term - please visit this website: www.unsw.edu.au/course-outlines

Course outlines are made available prior to the comencement of term. It will contain information about course objectives, assessment, course materials and the syllabus.

Important additional information as of 2023

UNSW Plagiarism Policy

The University requires all students to be aware of its policy on plagiarism.

For courses convened by the School of Mathematics and Statistics no assistance using generative AI software is allowed unless specifically referred to in the individual assessment tasks.

If its use is detected in the no assistance case, it will be regarded as serious academic misconduct and subject to the standard penalties, which may include 00FL, suspension and exclusion.

The Online Handbook entry contains up-to-date timetabling information.

If you are currently enrolled in DATA5002, you can log into UNSW Moodle for this course.

Course descriptions

This course will introduce statistical and visualisation tools for the exploratory analysis of data. Students will learn what makes an effective data visualisation and how to create interactive data visualisations. Visualisation in R, Tableau and other tools including cutting-edge graphical, immersive techniques will be used.There will be a strong focus on developing the skill of data storytelling: where students will learn to combine data, its visualisation and a narrative to create a powerful story to drive change.