Overview
This program aims to produce professionals who are skilled in the manipulation and interpretation of large amounts of data. It 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 … For more content click the Read More button below.
Learning Outcomes
1.
Be able to analyse information critically in a mathematical setting.
- Scholars
- Professionals
- Leaders
2.
Demonstrate an understanding of the role of speculation in the selection and solution of problems, the construction of hypotheses, and the design of experiments.
- Professionals
- Leaders
- Scholars
3.
Demonstrate knowledge and skills in formulating problems involving both qualitative and quantitative data.
- Scholars
- Professionals
4.
Be able to apply advanced mathematical and computational techniques and business sensibilities to real-world problems involving complex data sets.
- Scholars
- Leaders
5.
Be able to apply the highest ethical standards to their professional and personal lives
- Professionals
- Global citizens
6.
Be able to prepare, process interpret and present data using appropriate qualitative and quantitative techniques
- Professionals
- Scholars
7.
Be able to read critically and with understanding, to think logically, and to communicate clearly by written and oral means.
- Scholars
- Professionals
- Leaders
8.
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.
- Professionals
- Global citizens
9.
Apply in depth knowledge of statistics, computer science, applied mathematics, and business strategies, in data preparation, manipulation, analysis and interpretation.
- Professionals
- Leaders
- Scholars
Program Structure
Students must complete 24 UOC when taken as a standalone program.
Core Courses24 Units of Credit:
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.
Admission Requirements
Entry Requirements
Minimum Entry Requirements
Program Requirements
Progression Requirements
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 Diploma in Data Science and Decisions - GDDataSci5959 - Data Science and Decisions
Graduate Certificate in Health Data Science - GradCertHDS7372 - Health 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 Data Science and Decisions - MDataSci8959 - Data Science and Decisions
Postgraduate Pathway
Doctor of Philosophy - PhD1540 - Economics
Doctor of Philosophy - PhD1880 - Mathematics
Master of Science (Research) - MSc(Res)2920 - Mathematics (MRes)
Graduate Diploma in Data Science - GDDS5646 - Data Science
Master of Data Science - MDS8646 - Data Science
Nested Postgraduate Program
Graduate Diploma in Data Science and Decisions - GDDataSci5959 - Data Science and Decisions
Master of Data Science and Decisions - MDataSci8959 - 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
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)