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Overview

This program aims to produce professionals who are skilled in the manipulation and interpretation of large amounts of data. The Graduate Diploma 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 … For more content click the Read More button below.

Learning Outcomes

1.
Be able to apply advanced mathematical and computational techniques and business sensibilities to real-world problems involving complex data sets.
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2.
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
3.
Demonstrate an understanding of the role of speculation in the selection and solution of problems, the construction of hypotheses, and the design of experiments.
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4.
Demonstrate knowledge and skills in formulating problems involving both qualitative and quantitative data.
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5.
Be able to read critically and with understanding, to think logically, and to communicate clearly by written and oral means.
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6.
Be able to analyse information critically in a mathematical setting.
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7.
Be able to prepare, process, interpret and present data using appropriate qualitative and quantitative techniques.
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8.
Be able to apply the highest ethical standards to their professional and personal lives.
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  • Global citizens
9.
Demonstrate advanced and integrated knowledge of statistics, computer science, applied mathematics, and business strategies, and examine their applications in data science.
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  • Professionals

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.

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 Health Data Science - GradDipHDS5372 - Health Data Science
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
Graduate Certificate in Data Science and Decisions - GCDataSci7959 - Data Science and Decisions
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
Doctor of Philosophy - PhD1885 - Computer Science
Master of Science (Research) - MSc(Res)2920 - Mathematics (MRes)
Master of Data Science - MDS8646 - Data Science

Nested Postgraduate Program

Graduate Certificate in Data Science and Decisions - GCDataSci7959 - Data Science and Decisions
Master of Data Science and Decisions - MDataSci8959 - Data Science and Decisions

Professional Outcomes

Career Opportunities

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

Additional Information

Recognition of Prior Learning

RPL for work experience in a data sciences area as per the UNSW RPL policy and procedure will be considered for course credit, but not admissions. At least two years experience in a relevant position, such as data scientist, computer scientist, software engineer.

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)