Overview

The two-year Master of Data Science and Decisions has been developed to train scientists to meet the current and future strong demand for Data Scientists and Data Analysts. Graduates will have broad and advanced knowledge and skills in Data Science across the three areas of mathematics and statistics, computer science, … For more content click the Read More button below.

Learning Outcomes

1.
Demonstrate a high level understanding of the significance of science, technology, economics and social factors in modern society, and of the contributions they can make in improving material conditions.
  • Global citizens
  • Professionals
2.
Read critically and with understanding to think logically, and to communicate clearly by written and oral means.
  • Leaders
  • Scholars
  • Professionals
3.
Create new understanding through the process of enquiry, critical analysis and problem solving, including constructing a research project, that demonstrates technical skills in research and design.
  • Scholars
  • Professionals
4.
Apply advanced mathematical and computational techniques and business sensibilities to real-world problems involving complex data sets.
  • Scholars
  • Leaders
5.
Analyse information critically in a mathematical setting.
  • Professionals
  • Leaders
  • Scholars
6.
Apply the highest ethical standards to their professional lives.
  • Professionals
  • Global citizens
7.
Demonstrate knowledge and skills in formulating problems involving both qualitative and quantitative data.
  • Scholars
  • Professionals
8.
Prepare, process, interpret and present data using appropriate qualitative and quantitative techniques.
  • Scholars
  • Professionals
9.
Demonstrate an advanced working knowledge of scientific criteria and methods of investigation, and a concern for objectivity and precision.
  • Leaders
  • Scholars
  • Professionals
10.
Demonstrate an understanding of the role of speculation in the selection and solution of problems, the construction of hypotheses, and the design of experiments.
  • Scholars
  • Professionals
  • Leaders

Program Structure

Students must complete 96 UOC when taken as a standalone program.

Specialisations

Research Project12 Units of Credit:

Prescribed Electives

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.

Sample Programs

To access sample program(s), please visit:

Admission Requirements

Entry Requirements

Minimum Entry Requirements

Program Requirements

Progression Requirements

Students usually complete their Research Project during their last one or two Terms. Students are not eligible to start a project until they have completed at least 36 UoC  (typically, 6 courses).

  • Students who have passed 24 UoC can elect to exit the program with a Graduate Certificate (7959).
  • Students who have passed 48 UoC can elect to exit the program with a Graduate Diploma (5959).
  • Students who have completed the Graduate Certificate (7959) and have a WAM of 65 may apply to transfer into this Masters program and will receive up to 24 UOC of Advanced Standing.
  • Students who have completed the full 48 UoC of the Graduate Diploma (5959), and have a WAM of 65, may apply to transfer into this Masters program and will receive up to 48 UoC of Advanced Standing.
  • Students who have completed 24 UoC of the Graduate Diploma (5959), and have a WAM of 65, may apply to transfer into this Masters program and will receive up to 24 UoC of Advanced Standing.

For more information on university policy on progression requirements please visit Academic Progression

Associated Programs

Similar Program

Graduate Diploma in Analytics - Grad Dip Analytics5437 - Analytics
Graduate Diploma in Data Science - GDDS5646 - Data Science
Graduate Certificate in Data Science - GCDS7446 - Data Science
Graduate Certificate in Analytics - GCertAnalytics7457 - Analytics
Master of Analytics - MAnalytics8437 - Analytics
Master of Data Science - MDS8646 - Data Science
Master of Science - MSc9372 - Health Data Science

Postgraduate Pathway

Doctor of Philosophy - PhD1540 - Economics
Doctor of Philosophy - PhD1880 - Mathematics and Statistics
Master of Philosophy - MPhil2645 - Engineering
Master of Science (Research) - MSc(Res)2920 - Mathematics and Statistics (MRes)

Nested Postgraduate Program

Graduate Diploma in Data Science and Decisions - GDDataSci5959 - Data Science and Decisions
Graduate Certificate in Data Science and Decisions - GCDataSci7959 - Data Science and Decisions

Professional Outcomes

Career Opportunities

Database and Systems Administrators, and ICT Security Specialists, Statistician, Business and Systems Analysts, and Programmers, Computer Network Professionals

Recognition of Achievement

Award with Excellence
For more information, please visit:
The Award with Excellence is awarded in coursework masters programs, including Masters (Extension) but with the exception of Masters (Extended) such as JD and MD, when a Weighted Average Mean (WAM) of at least 80% has been achieved and at least 50% of the requirements of the award are completed at UNSW. All eligible programs will award 'with Excellence' except in special circumstances where approval of Academic Board has been given for a program to opt out.

Program Fees

At UNSW fees are generally charged at course level and therefore dependent upon individual enrolment and other factors such as student's residency status. For generic information on fees and additional expenses of UNSW programs, click on one of the following:

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)