Overview
This program aims to produce professionals who are skilled in the manipulation and interpretation of large amounts of data.
Learning Outcomes
1.
Collaborate effectively in disciplinary and interdisciplinary teams.
- Leaders
2.
Demonstrate cultural, professional and ethical competence to become a responsible Data Scientist and a global citizen.
- Global citizens
- Professionals
3.
Prepare, analyse, interpret and present data to inform business decision making.
- Leaders
- Scholars
4.
Apply enquiry-based learning, including, analysis and critical thinking, reflection, and problem solving, to become a lifelong learner and an innovative and self directed professional.
- Leaders
- Professionals
5.
Communicate effectively in written and oral formats to engage specialist and non-specialist audiences.
- Leaders
- Scholars
- Professionals
6.
Apply in depth knowledge of statistics, computer science, applied mathematics, and business strategies, in data preparation, manipulation, analysis and interpretation.
- 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
A credit average is generally required to articulate to the next level in the sequence.
For more information on university policy on progression requirements please visit Academic Progression
Associated Programs
Similar Program
Graduate Diploma in Data Science and Decisions - GDDataSci5959 - Data Science and Decisions
Graduate Certificate in Analytics - GCertAnalytics7457 - Analytics
Graduate Certificate in Data Science and Decisions - GCDataSci7959 - Data Science and Decisions
Master of Data Science and Decisions - MDataSci8959 - Data Science and Decisions
Postgraduate Pathway
Doctor of Philosophy - PhD1880 - Mathematics
Master of Philosophy - MPhil2645 - Engineering
Master of Science - MSc2920 - Mathematics
Graduate Diploma in Data Science - GDDS5646 - Data Science
Master of Data Science - MDS8646 - Data Science
Nested Postgraduate Program
Graduate Diploma in Data Science - GDDS5646 - Data Science
Master of Data Science - MDS8646 - Data Science
Professional Outcomes
Career Opportunities
Database and Systems Administrators, ICT Security Specialists, Statisticians, Data Scientists
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)