Overview

Quantitative Data Science is the study of methods for organising, modelling and analysing large and complex data relevant for businesses, governments or other organisations. The information gleaned from the data analysis is intended to improve business decisions and inform policies.The program provides an advanced technical background in mathematics, statistics, computer … For more content click the Read More button below.

Learning Outcomes

1.
Demonstrate knowledge and skills in formulating problems involving both qualitative and quantitative data.
  • Professionals
  • Scholars
2.
Be able to apply advanced mathematical and statistical techniques to real-world problems involving complex data sets.
  • Global citizens
  • Scholars
3.
Be able to apply the highest ethical standards to their professional and personal lives.
  • Global citizens
  • Professionals
4.
Be able to prepare, process, interpret and present data using appropriate qualitative and quantitative techniques.
  • Professionals
  • Scholars
5.
Be able to analyse information critically in a mathematical setting.
  • Professionals
  • Scholars
6.
Demonstrate an advanced working knowledge of scientific criteria and methods of investigation, and a concern for objectivity and precision.
  • Professionals
  • Global citizens

Available in Program(s)
Single degree program(s) in which this specialisation is available:

Master of Data Science and Decisions - MDataSci8959 - Data Science and Decisions

Specialisation Structure

Students must complete 30 UOC.

Enrolment Disclaimer

Please note that this Handbook is a comprehensive catalogue of our offerings and includes courses that can be taken to satisfy program requirements irrespective as to their availability for a particular year. Availability of courses is best checked using filters on this site or on the class timetable site.

You are responsible for ensuring that you enrol in courses according to your program requirements and by following the advice of your Program Authority. myUNSW enrolment checks that you have met enrolment requirements such as pre-requisites for individual courses but not that you are enrolling in courses that will count towards your program requirements.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)