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Overview

With an increasing urbanised world there is a critical need to do more with less. The City Analytics programs will play an integral role in growing the skill set and culture of data driven evidenced based policy and decision-making across our Cities, both in Australia and Internationally. Smart cities, big … For more content click the Read More button below. The new City Analytics articulated suite of programs will provide a unique offering upskilling the next generation of practitioners and policy-makers with the ability to harness the power of data driven approaches to understanding the spatial and temporal dimensions of our cities, both past, present and future. The core elements of the City Analytics Graduate Certificate primarily comprise of courses specifically relevant to Smart Cities. Specifically; Scientific Programming, Digital Cities, GIS in Planning, and Urban Data Visualisation.

Learning Outcomes

1.
Demonstrate a basic grounding in understanding, analysing, modelling, and visualising urban data.
  • Professionals
  • Scholars
2.
Develop skills in relevant computer technologies and a critical appreciation for technology transfer in practice in the changing global context.
  • Global Citizens
  • Leaders
3.
Demonstrate understanding of professional and ethical conduct and personal accountability consistent with industry expectations in the context of new technology and data governance.
  • Professionals
  • Leaders
4.
Demonstrate ability to nterpret and communicate knowledge, skills and ideas to both specialist and non-specialist audiences with a focus on technology.
  • Leaders
  • Professionals

Graduate Capabilities

For more information on Graduate Capabilities please click on this link

Program Structure
24 Units of Credit:

Students must complete 24 UOC as a standalone program.

Core Courses

Students must take 24 UOC of the following courses.

BENV7504
6 UOC
Digital Cities
BENV7728
6 UOC
Geographical Information Systems and Urban Informatics
BENV7500
6 UOC
Programmable Cities
BENV7501
6 UOC
Urban Data Visualisation

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

Special Admission Requirements

For more information about admission requirements for various UNSW programs, visit the following website(s):
Domestic Students
International Student

Program Requirements

Progression Requirements

Pathways

Post Graduate

Doctor of Philosophy - PhD1120 - Built Environment
Master of Philosophy - MPhil2222 - Built Environment

Articulation Arrangements

Graduate Diploma in City Analytics - GradDipCA5151 - City Analytics
Master of City Analytics - MCA8151 - City Analytics

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:

Domestic Students
Commonwealth Supported Students (if applicable)
International Students

Additional Expenses

Access to own computer. Cost of printing, books, reference materials.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)
Pre-2019 Handbook Editions