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.
- Scholars
- Professionals
- Leaders
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.
- Professionals
- Scholars
4.
Apply advanced mathematical and computational techniques and business sensibilities to real-world problems involving complex data sets.
- Leaders
- Scholars
5.
Analyse information critically in a mathematical setting.
- Scholars
- Professionals
- Leaders
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.
- Professionals
- Scholars
8.
Prepare, process, interpret and present data using appropriate qualitative and quantitative techniques.
- Professionals
- Scholars
9.
Demonstrate an advanced working knowledge of scientific criteria and methods of investigation, and a concern for objectivity and precision.
- Scholars
- Professionals
- Leaders
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
Core Courses66 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.
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 need to have maintained a WAM of 70 or higher in the first six courses of their program to progress to the project. Students who do not achieve the required WAM will be awarded with the Graduate Diploma in Data Science and Decisions (program 5959) providing they pass 48 UoC (or with the Graduate Certificate in Data Science and Decisions(program 7959) provided they pass 24 UoC). Enrolment in the project is conditional on the approval of the program authority and is subject to appropriate supervision resources being available.
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
Master of Philosophy - MPhil2645 - Engineering
Master of Science (Research) - MSc(Res)2920 - Mathematics (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 link above.
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)