Master of Transport |
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|---|---|---|---|
| Students must complete 72 credit points, including: | |||
| (a) 48 credit points of core units of study | |||
| (b) For the professional pathway: | |||
| (i) 6 credit points of capstone units of study | |||
| (ii) 18 credit points of elective units of study | |||
| (c) For the research pathway: | |||
| (i) 18 credit points of research project units of study | |||
| (ii) 6 credit points of elective units of study | |||
Graduate Diploma in Transport |
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| Students must complete 48 credit points, including: | |||
| (a) a minimum of 36 credit points of core units of study | |||
| (b) a maximum of 12 credit points of elective units of study | |||
Graduate Certificate in Transport
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| Students must complete 24 credit points, including: | |||
| (a) a minimum of 18 credit points of core units of study | |||
| (b) a maximum of 6 credit points of elective units of study | |||
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
|---|---|---|
Core units |
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| ARCH9100 Urban Design Foundations Studio |
6 | |
| CIVL5702 Traffic Engineering |
6 | A [(CIVL2700 or CIVL9700) or (MATH1021 and MATH1023 and MATH1005)] or [(MATH1061 and MATH1062) or (ENGG1801 or ENGG1810 or INFO1110)]. Basic statistics through regression analysis, differential and integral calculus, computer programming |
| CIVL5703 Transport Policy, Planning and Deployment |
6 | A CIVL2700 N CIVL3703 or CIVL9703 |
| CIVL5704 Transport Analytics |
6 | A CIVL3704 or CIVL9704 |
| ITLS5100 Transport and Infrastructure Foundations |
6 | N TPTM6241 |
| ITLS6102 Transport Modelling and Forecasting |
6 | N TPTM6350 |
| ITLS6103 Transport, Sustainability and Health |
6 | |
| PLAN9064 Land Use and Infrastructure Planning |
6 | A ARCH9100 C PLAN9045 |
Elective units |
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| CIVL5320 Engineering for Sustainable Development |
6 | N CIVL9320 |
| CIVL5701 Transport Networks |
6 | A CIVL2700 or CIVL9700. Students are expected to have the mathetical background from 1st and 2nd year Bachelor (eg. MATH1021, MATH1023, MATH1005, MATH1061, MATH1062, or equivalent), and first year computing background (eg. INFO1110 or equivalent) |
| CIVL9002 Measurement and Data in Engineering |
6 | A Basic fundamental concepts common to any undergraduate civil and environmental engineering degree program. Familiarity with a programming language like Python, R, or MATLAB is preferred but not required. This unit of study is being developed, subject to change |
| CSYS5010 Introduction to Complex Systems |
6 | |
| CSYS5020 Resilient Networks and Systems |
6 | |
| ITLS6016 Logistics and Future Cities |
6 | N ITLS6301 |
| ITLS6203 Analytic Methods for Logistics |
6 | N ITLS5200 or TPTM6495 |
| ITLS6111 Spatial Analytics |
6 | A Basic knowledge of Excel is assumed. N ITLS6107 or TPTM6180 This unit will use R programming language to perform statistical analyses and spatial analyses. No prior programming knowledge is required. |
| ITLS6300 Maritime Management and Logistics |
6 | N TPTM6200 |
| ITLS6500 Decision Making on Mega Projects |
6 | |
| ITLS6501 Infrastructure Financing |
6 | |
| PLAN9063 Strategic Planning and Design |
6 | |
| PLAN9075 Urban Data and Science of Cities |
6 | A Basic mathematics and statistics; all required programming and mathematics needed for the unit will be taught from the basics |
| PLAN9073 GIS Based Planning Policy and Analysis |
6 | |
Capstone units |
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| PLAN9076 Transport Capstone |
6 | P 48 credit points with at least 36 credit points from (ARCH9100 or CIVL5702 or CIVL5703 or CIVL5704 or ITLS5100 or ITLS5200 or ITLS6102 or ITLS6103 or PLAN9064) |
Research Project units |
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| TRAS5001 Transport Research Project A |
6 | P 24 credit points of Master of Transport units with a minimum Distinction (75%) average |
| TRAS5002 Transport Research Project B |
6 | P TRAS5001 |
| TRAS5003 Transport Research Project C |
6 | P TRAS5001 |