Master of Complex Systems |
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Students complete 72 credit points, comprising: | ||
(a) 54 credit points of core units including: | ||
(i) 24 credit points of foundational core units of study | ||
(ii) 24 credit points of core complex systems units of study | ||
(iii) 6 credit points of capstone units of study | ||
(b) 6 credit points of advanced computing units of study | ||
(c) 12 credit points of elective units of study | ||
Graduate Diploma in Complex Systems |
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Students complete 48 credit points, comprising: | ||
(a) 36 credit points of core units, including: | ||
(i) 24 credit points of foundational core units of study | ||
(ii) a minimum of 12 credit points of core complex systems units of study | ||
(b) a maximum of 12 credit points of elective units of study. | ||
Specialisations |
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(a) Completion of a specialisation is not a requirement of the course. | ||
(b) Students have the option of completing one specialisation. | ||
(c) A specialisation requires the completion of 12 credit points chosen from units of study listed for that specialisation. | ||
The specialisations available are: | ||
Engineering | ||
Biosecurity | ||
Transport | ||
Research Methods |
Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
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Core units of study |
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Foundational core units |
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COMP9001 Introduction to Programming |
6 | N INFO1110 OR INFO1910 OR INFO1103 OR INFO1903 OR INFO1105 OR INFO1905 OR ENGG1810 |
COMP9208 Artificial Intelligence and Society |
6 | A Competency in 1st year mathematics. Exposure to computer programming would be useful but not mandatory |
PMGT5886 System Dynamics Modelling for PM |
6 | |
STAT5002 Introduction to Statistics |
6 | A HSC Mathematics |
Complex Systems core units |
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CSYS5010 Introduction to Complex Systems |
6 | |
CSYS5020 Interdependent Civil Systems |
6 | |
CSYS5030 Information Theory and Self-Organisation |
6 | A Competency in 1st year mathematics, and basic computer programming skills are assumed. Competency in 1st year undergraduate level statistics (for example, covering probabilities, conditional probabilities, Gaussian distribution, correlations, statistical significance/hypothesis testing and p-values). An exposure to linear algebra would be useful but not mandatory |
CSYS5040 Criticality in Dynamical Systems |
6 | A Mathematics at first-year undergraduate level. Some familiarity with mathematical and computational principles at an undergraduate university level (for example, differential calculus or linear algebra). Familiarity with a programming language at a beginners level for data analysis |
Advanced Computing units |
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COMP5048 Visual Analytics |
6 | A Experience with data structures and algorithms as covered in COMP9103 OR COMP9003 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions) N COMP4448 OR OCMP5048 |
COMP5313 Large Scale Networks |
6 | A Algorithmic skills gained through units such as COMP2123 or COMP2823 or COMP3027 or COMP3927 or COMP9007 or COMP9123 or equivalent. Basic probability knowledge N COMP4313 |
Complex Systems capstone |
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Students must complete 48 credit points from Core and Elective units of study before taking Complex Systems Capstone Project unit. | ||
CSYS5050 Complex Systems Capstone Project A |
6 | P 48 credit points including CSYS5010 |
Electives |
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CHNG9202 Chemical Engineering Modelling and Analysis |
6 | A Enrolment in this unit of study assumes that first year undergraduate core maths, science and engineering UoS (or their equivalent) have been successfully completed N CHNG2802 OR CHNG5702 |
CISS6004 Health and Security |
6 | |
COMP5318 Machine Learning and Data Mining |
6 | A Experience with programming and data structures as covered in COMP2123 OR COMP2823 or COMP9123 (or equivalent unit of study from different institutions). N COMP4318 OR OCMP5318 |
CSYS5060 Complex Systems Research Project A |
6 | P CSYS5010 |
CSYS5061 Complex Systems Research Project B |
6 | P CSYS5010 C CSYS5060. Research Project A is meant to be done before or in parallel with Research Project B |
DATA5207 Data Analysis in the Social Sciences |
6 | N DATA4207 |
ELEC5208 Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
ELEC5509 Mobile Networks |
6 | A ELEC3505 or ELEC9505 AND ELEC3506 or ELEC9506. Basically, students need to know the concepts of data communications and mobile communications. If you are not sure, please contact the instructor |
ELEC9103 Simulations and Numerical Solutions in Eng |
6 | A ELEC9703. Understanding of the fundamental concepts and building blocks of electrical and electronics circuits and aspects of professional project management, teamwork, and ethics N ELEC5723 OR ELEC2103 OR COSC1001 OR COSC1901 |
ENVI5809 Environmental Simulation Modelling |
6 | A This unit assumes a sound understanding of scientific principles, HSC level Mathematics and understanding of basic statistics |
ENVI5904 Methods in Applied Ecology |
6 | |
GEOG5001 Geographic Information Science A |
6 | A This unit assumes a sound understanding of scientific principles, HSC level mathematics and understanding of basic statistics |
GEOG5004 Environmental Mapping and Monitoring |
6 | A This unit assumes a sound understanding of scientific principles, HSC level mathematics and understanding of basic statistics |
HTIN5003 Health Technology Evaluation |
6 | N HTIN4003 |
HTIN5004 Integrated Approaches to Chronic Disease |
6 | |
INFO5060 Data Analytics and Business Intelligence |
6 | A Basic knowledge of information systems as covered in COMP5206 or ISYS2160 (or equivalent UoS from different institutions) |
ITLS5020 Production and Operations Management |
6 | N TPTM6155 or TPTM5001 or ITLS5000 or ITLS6008 |
ITLS5050 Introductory Supply Chain Analysis |
6 | C ITLS5020 or ITLS5000 or TPTM5001 N TPTM6495 or ITLS5200 or ITLS6203 or MMGT6012 |
ITLS5100 Transport and Infrastructure Foundations |
6 | N TPTM6241 |
ITLS6002 Supply Chain Planning and Design |
6 | P (ITLS5020 or ITLS5000 or TPTM5001) and (ITLS5050 or ITLS5200 or TPTM6495) and (ITLS6201 or ITLS6101) and (ITLS6202 or ITLS6003) C ITLS6010 or ITLS6008 N TPTM6190 |
ITLS6007 Humanitarian Logistics |
6 | N TPTM6390 |
ITLS6102 Transport Modelling and Forecasting |
6 | N TPTM6350 |
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. |
PHYS5031 Ecological Econ and Sustainable Analysis |
6 | |
PHYS5032 Techniques for Sustainability Analysis |
6 | Minimum class size of 5 students. |
PMGT5875 Project Innovation Management |
6 | |
PMGT5897 Disaster Project Management |
6 | |
PUBH5010 Epidemiology Methods and Uses |
6 | N BSTA5011 |
QBUS5001 Foundation in Data Analytics for Business |
6 | A Students should be capable of reading data in tabulated form and working with Microsoft EXCEL and doing High School level of mathematics N ECMT5001 or QBUS5002 |
QBUS6810 Statistical Learning and Data Mining |
6 | P (ECMT5001 or QBUS5001 or STAT5003) and (a mark of 65 or greater in BUSS6002 or COMP5310 or COMP5318) Students should complete BUSS6002 before enrolling in this unit as QBUS6810 builds on the material covered in BUSS6002. |
QBUS6840 Predictive Analytics |
6 | P (QBUS5001 or ECMT5001 or STAT5003) and (a mark of 65 or greater in BUSS6002 or COMP5310 or COMP5318) |
SUST5004 Sustainable Development and Population Health |
6 | This unit of study involves essay-writing. Academic writing skills equivalent to HSC Advanced English or significant consultation via the Writing Hub is assumed. |
Specialisations |
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Completion of a specialisation is not a requirement of the course. To be eligible for a specialisation, a candidate must complete 12 credit points chosen from that specialisation. | ||
Biosecurity |
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CISS6004 Health and Security |
6 | |
DATA5207 Data Analysis in the Social Sciences |
6 | N DATA4207 |
ENVI5809 Environmental Simulation Modelling |
6 | A This unit assumes a sound understanding of scientific principles, HSC level Mathematics and understanding of basic statistics |
ENVI5904 Methods in Applied Ecology |
6 | |
GEOG5001 Geographic Information Science A |
6 | A This unit assumes a sound understanding of scientific principles, HSC level mathematics and understanding of basic statistics |
GEOG5004 Environmental Mapping and Monitoring |
6 | A This unit assumes a sound understanding of scientific principles, HSC level mathematics and understanding of basic statistics |
HTIN5003 Health Technology Evaluation |
6 | N HTIN4003 |
HTIN5004 Integrated Approaches to Chronic Disease |
6 | |
PHYS5031 Ecological Econ and Sustainable Analysis |
6 | |
PHYS5032 Techniques for Sustainability Analysis |
6 | Minimum class size of 5 students. |
PUBH5010 Epidemiology Methods and Uses |
6 | N BSTA5011 |
SUST5004 Sustainable Development and Population Health |
6 | This unit of study involves essay-writing. Academic writing skills equivalent to HSC Advanced English or significant consultation via the Writing Hub is assumed. |
Engineering |
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CHNG9202 Chemical Engineering Modelling and Analysis |
6 | A Enrolment in this unit of study assumes that first year undergraduate core maths, science and engineering UoS (or their equivalent) have been successfully completed N CHNG2802 OR CHNG5702 |
COMP5318 Machine Learning and Data Mining |
6 | A Experience with programming and data structures as covered in COMP2123 OR COMP2823 or COMP9123 (or equivalent unit of study from different institutions). N COMP4318 OR OCMP5318 |
DATA5207 Data Analysis in the Social Sciences |
6 | N DATA4207 |
ELEC5208 Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
ELEC5509 Mobile Networks |
6 | A ELEC3505 or ELEC9505 AND ELEC3506 or ELEC9506. Basically, students need to know the concepts of data communications and mobile communications. If you are not sure, please contact the instructor |
ELEC9103 Simulations and Numerical Solutions in Eng |
6 | A ELEC9703. Understanding of the fundamental concepts and building blocks of electrical and electronics circuits and aspects of professional project management, teamwork, and ethics N ELEC5723 OR ELEC2103 OR COSC1001 OR COSC1901 |
INFO5060 Data Analytics and Business Intelligence |
6 | A Basic knowledge of information systems as covered in COMP5206 or ISYS2160 (or equivalent UoS from different institutions) |
QBUS5001 Foundation in Data Analytics for Business |
6 | A Students should be capable of reading data in tabulated form and working with Microsoft EXCEL and doing High School level of mathematics N ECMT5001 or QBUS5002 |
QBUS6810 Statistical Learning and Data Mining |
6 | P (ECMT5001 or QBUS5001 or STAT5003) and (a mark of 65 or greater in BUSS6002 or COMP5310 or COMP5318) Students should complete BUSS6002 before enrolling in this unit as QBUS6810 builds on the material covered in BUSS6002. |
QBUS6840 Predictive Analytics |
6 | P (QBUS5001 or ECMT5001 or STAT5003) and (a mark of 65 or greater in BUSS6002 or COMP5310 or COMP5318) |
Transport |
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COMP5318 Machine Learning and Data Mining |
6 | A Experience with programming and data structures as covered in COMP2123 OR COMP2823 or COMP9123 (or equivalent unit of study from different institutions). N COMP4318 OR OCMP5318 |
DATA5207 Data Analysis in the Social Sciences |
6 | N DATA4207 |
ELEC5509 Mobile Networks |
6 | A ELEC3505 or ELEC9505 AND ELEC3506 or ELEC9506. Basically, students need to know the concepts of data communications and mobile communications. If you are not sure, please contact the instructor |
ELEC5208 Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
INFO5060 Data Analytics and Business Intelligence |
6 | A Basic knowledge of information systems as covered in COMP5206 or ISYS2160 (or equivalent UoS from different institutions) |
ITLS5020 Production and Operations Management |
6 | N TPTM6155 or TPTM5001 or ITLS5000 or ITLS6008 |
ITLS5050 Introductory Supply Chain Analysis |
6 | C ITLS5020 or ITLS5000 or TPTM5001 N TPTM6495 or ITLS5200 or ITLS6203 or MMGT6012 |
ITLS5100 Transport and Infrastructure Foundations |
6 | N TPTM6241 |
ITLS6002 Supply Chain Planning and Design |
6 | P (ITLS5020 or ITLS5000 or TPTM5001) and (ITLS5050 or ITLS5200 or TPTM6495) and (ITLS6201 or ITLS6101) and (ITLS6202 or ITLS6003) C ITLS6010 or ITLS6008 N TPTM6190 |
ITLS6007 Humanitarian Logistics |
6 | N TPTM6390 |
ITLS6102 Transport Modelling and Forecasting |
6 | N TPTM6350 |
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. |
QBUS5001 Foundation in Data Analytics for Business |
6 | A Students should be capable of reading data in tabulated form and working with Microsoft EXCEL and doing High School level of mathematics N ECMT5001 or QBUS5002 |
QBUS6810 Statistical Learning and Data Mining |
6 | P (ECMT5001 or QBUS5001 or STAT5003) and (a mark of 65 or greater in BUSS6002 or COMP5310 or COMP5318) Students should complete BUSS6002 before enrolling in this unit as QBUS6810 builds on the material covered in BUSS6002. |
QBUS6840 Predictive Analytics |
6 | P (QBUS5001 or ECMT5001 or STAT5003) and (a mark of 65 or greater in BUSS6002 or COMP5310 or COMP5318) |
Research Methods |
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CSYS5060 Complex Systems Research Project A |
6 | P CSYS5010 |
CSYS5061 Complex Systems Research Project B |
6 | P CSYS5010 C CSYS5060. Research Project A is meant to be done before or in parallel with Research Project B |