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 Masters Program primarily comprise courses specifically relevant to Smart Cities; namely: Scientific Programming, Digital Cities, GIS in Planning, and Urban Data Visualisation.
Learning Outcomes
1.
Demonstrate both theoretical and practical grounding to be competent and confident in understanding, analysing, modelling, and visualising urban data.
- Professionals
- Scholars
2.
Develop skills and applications in relevant computer technologies and a critical appreciation of technology transfer in practice in the changing global context.
- Global Citizens
- Leaders
3.
Demonstrate professional and ethical conduct and personal accountability consistent with industry expectations in the context of new technology and data governance.
- Professionals
- Leaders
4.
Develop and apply specialised knowledge and analytical skills to inform evidence-based policy and decision making processes.
- Professionals
- Scholars
5.
Demonstrate ability to apply research principles and methods applicable to smart cities in local, national and international contexts.
- Global Citizens
- Scholars
6.
Demonstrate ability to interpret and communicate knowledge, skills and ideas to both specialist and non-specialist audiences with a focus on technology
- Professionals
- Leaders
Program Structure72 Units of Credit:
Students must complete 72 UOC as a standalone program.
Capstone Course
Students must take 12 UOC of the following courses.
Core Courses
Students must take 42 UOC of the following courses.
Prescribed Electives
Students must take 18 UOC of the following courses.
Students may take other relevant UNSW courses on approval of Smart Cities & Urban Informatics Program Director.
Admission Requirements
Entry Requirements
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
Graduate Certificate in City Analytics - GradCertCA7451 - City Analytics
Master of City Analytics (Extension) - MCA(Ext)8152 - City Analytics (Extension)
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)