City Analytics

  • 8151
  • Full-time and Part-time
  • Semester 1 (March) 2018
  • 1.5 years full-time
 

 

About

 
**The first intake for this program will be Semester 1 2018**
 
Urbanization is a grand challenge facing our planet which needs urgent attention. The global population is approaching 8.5 billion people by 2030 and 60% of these people are forecast to live in cities (United Nations, 2014). Living in the age of rapidly expanding cities we are tasked with addressing a myriad of issues including: climate change, population migration, air quality, affordable housing, transport congestion, population health and food security. 
 
Smart cities, big data, open data, geodesign, visualisation, modelling and simulation and virtual reality offer exciting new data driven methods, tools and technologies which can arm city shapers in tackling the challenges brought about through rapid urbanization. In fact these methods, tools and technologies underpin approaches to informed urbanization where our cities become living laboratories and urban futures can be analysed, modelled and visualised. 
 
However, such approaches and technologies need to be properly understood, critically appraised and effectively used by government and industry to ensure our cities of the future are equitable, prosperous, sustainable and resilient. At the same time as our cities are becoming more complex and we need to be able to map and model this complexity through understanding flows and networks of people and how they move through the built environment.
 
The Master of City Analytics (MCA) provides you with a unique offering, upskilling the next generation of practitioners and policy-makers with the ability to harness the power of data driven approaches for understanding the inherent complexity of the city. This course will play an integral role in growing the skill set and culture of data driven evidence based policy and decision making across our cities, both in Australia and Internationally.
 
To find out more about the Master of City Analytics, come along to our Postgraduate Information Evening on Wednesday 10 May, click the link below to register;
 
Page Last Updated: 24 Mar 2017