City Analytics

University of New South Wales

About

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.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 data, virtual reality and such technologies promise much in their use in planning more sustainable, productive and resilient cities.

However, such technologies need to be properly understood, critically appraised and used effective by government industry to ensure our cities of the future are equitable, prosperous and sustainable.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 Diploma primarily comprise courses specifically relevant to Smart Cities;

namely:

Scientific Programming, Digital Cities, GIS in Planning, and Urban Data Visualisation.Read More

Structure

Core Courses

Students must take 36 UOC of the following courses.keyboard_arrow_down

  • BENV75046 UOCDigital Cities
  • BENV77286 UOCGeographical Information Systems and Urban Informatics
  • BENV75006 UOCProgrammable Cities
  • BENV75016 UOCUrban Data Visualisation
  • BENV75026 UOCGeodesign
  • BENV75036 UOCGeocomputation

Prescribed Electives

Students must take 12 UOC of the following courses.Students may take other relevant UNSW courses on approval of Smart Cities & Urban Informatics Program Director.keyboard_arrow_down

  • MUPS00016 UOCDrivers of Urban Change
  • MUPS00026 UOCStrategic Urban Policy
  • MUPS00076 UOCResearch for Evidence-Based Policy
  • PLAN71466 UOCCity Economics, Urban Development & Finance
  • PLAN71436 UOCUrban Design
  • PLAN71456 UOCCity Building - Infrastructure Planning
  • PLAN71486 UOCStrategic Spatial Planning
  • BENV77126 UOCHealthy Built Environments
  • BENV73076 UOCWriting the City
  • BENV78116 UOCUrban Renewal
  • PLAN71566 UOCHousing Policy and Finance
  • PLAN71426 UOCCity Equity & Wellbeing
  • PLAN73206 UOCHousing Management and Markets
  • PLAN73216 UOCImplementing Urban Regeneration Projects
  • PLAN71576 UOCEngaging Communities
  • CONS00056 UOCConstruction Informatics
  • SRAP50016 UOCPolicy Analysis
  • BEIL60026 UOCUrban and Regional Design
  • ECON53306 UOCReal Estate Economics and Public Policy
  • CVEN94056 UOCUrban Transport Planning Practice

Entry requirements

Admission Requirements:

The emerging field of smart cities and urban informatics is of interest and relevance to a wide range of professions and disciplines areas. Accordingly, the range of Bachelor degree subject areas considered a relevant background for admission to this program is quite broad. Applicants with undergraduate degrees in the following subject areas and who have achieved a credit average will be eligible for admission. Applicants who don't have a credit average may be considered for entry to the Graduate Certificate.

  • Built Environment subject areas
  • Business
  • Computer Science
  • Environmental Sciences
  • Engineering
  • Law/Jurisprudence
  • Social science, social and public policy

Recognition of prior learning [RPL]

Consideration of advanced standing may be granted for completed or partially completed postgraduate awards from UNSW or another institution and is in accordance with UNSW RPL Policy and Procedures. When considering the granting of advanced standing on the basis of previous p/g study at another institution, the program authority will take into account the quality of the institution and the quality, level and content of p/g courses previously undertaken.

Learning outcomes

1.Demonstrate understanding of professional and ethical conduct and personal accountability consistent with industry expectations in the context of new technology and data governance.Leaders

2.Demonstrate grounding to be competent and confident in understanding, analysing, modelling, and visualising urban data.Scholars

3.Develop skills in relevant computer technologies and a critical appreciation technology transfer in practice in the changing global context.LeadersGlobal Citizens

4.Apply specialised knowledge and analytical skills to urban challenges.Scholars

5.Interpret and communicate knowledge, skills and ideas to both specialist and non-specialist audiences with a focus on technologyLeaders

Institution