Smart and Sustainable Cities (M.Sc. / P.Grad.Dip.)

Students take 7 compulsory core modules, which include: Urban Governance; Smart Eco-Cities of the Future; Geographical Information Systems (GIS); Urban Sustainability; Introduction to Machine Learning; Research Method; Fieldtrip; Placement; and a written Dissertation.

Students also choose 3 elective modules among the following: Transportation Policy; Transportation Modelling & Planning; Energy Policy & Building Energy Demand; Urban Computing*; Artificial Intelligence*; Machine Learning*; Environmental Policies; Human Interaction with Biodiversity; and Climate Justice, Climate Change & Development.

*For these modules, students would be expected to have previous experience in cognate areas.  The students are advised to contact the course director for further information on requirements for these optional modules.

As part of the core modules, the course will have a mandatory field trip. This allows students to gain insights into ways in which different approaches emerge with specific social, political and economic contexts in which they are embedded.  For coming year, the Fieldtrip will focus on Amsterdam, teh The Netherlands. Amsterdam is chosen due to its long history of urban innovation and governance, as well as offering insights into contemporary, sustainable living. The field trip offers students the opportunity to bring together core learnings from other modules within the Masters while also developing their skills in data collection in a field setting.

The course will also incorporate a mandatory industrial in- company placement module. The placement is designed to allow students to link their in-class learning to hands-on approaches within a particular sub-area of smart cities and urban sustainability. The students will be provided with assistance in organising the placement, which will take place between the second half of the second semester and into the summer months.