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Complex Systems

Unit of study table

Master of Complex Systems

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

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

(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

Core units of study

Foundational core units
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
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
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
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

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

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
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
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
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
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