City Analytics - 5151
Program Summary
Faculty: Built Environment
Contact: Built Environment
Campus: Sydney
Career: Postgraduate
Typical UOC Per Semester: 24
Min UOC Per Semester: 6
Max UOC Per Semester: 24
Min UOC For Award: 48
View program information for previous years
Program Description
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.
Program Learning Outcomes
- Demonstrate grounding to be competent and confident in understanding, analysing, modelling, and visualising urban data.
- Develop skills in relevant computer technologies and a critical appreciation of technology transfer in practice in the changing global context.
- Develop and apply specialised knowledge and analytical skills to urban challenges.
- Demonstrate ability to interpret and communicate knowledge, skills and ideas to both specialist and non-specialist audiences with a focus on technology.
- Demonstrate understanding of professional and ethical conduct and personal accountability. consistent with industry expectations in the context of new technology and data governance.
Program Structure
- BENV7500 Scientific Programming (6 UOC)
- BENV7501 Urban Data Visualisation (6 UOC)
- BENV7502 Geodesign (6 UOC)
- BENV7503 Geocomputation (6 UOC)
- BENV7728 GIS for Built Environment (6 UOC)
- BEIL6002 Urban and Regional Design (6 UOC)
- BENV7307 Writing the City (6 UOC)
- BENV7712 Healthy Built Environments (6 UOC)
- BENV7811 Urban Renewal (6 UOC)
- CONS0005 ICT and BIM (6 UOC)
- CVEN9405 Urban Transport Planning Prac (6 UOC)
- ECON5330 Real Estate Economics (6 UOC)
- MUPS0001 Drivers of Urban Change (6 UOC)
- MUPS0002 Strategic Urban Policy (6 UOC)
- MUPS0007 Evidence-Based Policy (6 UOC)
- PLAN7142 City Equity & Wellbeing (6 UOC)
- PLAN7143 Urban Design (6 UOC)
- PLAN7145 City Building - Infrastructure (6 UOC)
- PLAN7146 City Econ,Urban Dev & Fin (6 UOC)
- PLAN7148 Strategic Spatial Planning (6 UOC)
- PLAN7156 Housing Policy (6 UOC)
- PLAN7157 Engaging Communities (6 UOC)
- PLAN7320 Housing Management and Markets (6 UOC)
- PLAN7321 Implementing Regeneration (6 UOC)
- SRAP5001 Policy Analysis (6 UOC)
Academic Rules
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. There will be the opportunity for articulation to the Masters program on satisfactory completion of the course requirements for the Graduate Certificate or Graduate Diploma.
- Built Environment subject areas
- Business
- Computer Science
- Environmental Science
- Engineering
- Law/Jurisprudence
- Social science, social and public policy
- Design Disciplines
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.
Students may apply to progress from the Graduate Certificate or the Graduate Diploma to Masters level with full credit for courses completed in earlier programs in the sequence.