Master of Information Technology
Please check the current students website (Find a unit of study) for up-to-date information on units of study including availability.
For more information on degree program requirements visit CUSP.
Unit outlines will be available through Find a unit outline.
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Information Technology |
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Master of Information Technology |
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| Students complete 72 credit points, incuding: | |||
| For the Professional Pathway: | |||
| 1. 18 credit points of the Core units of study; and | |||
| 2. a minimum of 18 credit points of the Specialist units of study; and | |||
| 3. a minimum of 12 credit points of the Professional Pathway Project units of study; and | |||
| 4. a maximum of 12 credit points of the Foundation units of study; and | |||
| 5. no credit points from the Research Pathway units of study. | |||
| For the Research Pathway: | |||
| 1. a minimum of 18 credit points of the Core units of study; and | |||
| 2. a minimum of 18 credit points of Specialist units of study; and | |||
| 3. a maximum of 12 credit points of Foundation units of study; and | |||
| 4. a minimum of 24 credit points of Research Pathway units of study; and | |||
| 5. no credit points of Professional Pathway Project units of study. | |||
| Candidates for the Graduate Diploma in Information Technology are required to complete 48 credit points from the units of study as follows: | |||
| 1. a minimum of 6 credit points of Core units of study (including INFO5990); and | |||
| 2. a minimum of 12 credit points of Specialist units of study. | |||
| 3. a maximum of 12 credit points of the Foundation units of study. | |||
| 4. no credit points of Project or Research units of study. | |||
| To qualify for the Graduate Certificate in Information Technology a candidate must complete 24 credit points of units of study as follows: | |||
| 1. a minimum of 12 credit points of Specialist units of study; and | |||
| 2. a maximum of 12 credit points of Foundation units of study. | |||
| 3. no credit points of Project or Research units of study. | |||
Core units |
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| Candidates for the Master of Information Technology complete a minimum of 18 credit points of Core units. | |||
| Candidates for the Graduate Diploma take INFO5990 as a minimum Core unit of study requirement. | |||
| INFO5990 Professional Practice in IT |
6 | A Students enrolled in INFO5990 are assumed to have previously completed a Bachelor's degree in some area of IT, or have completed a Graduate Diploma in some area of IT, or have many years experience as a practising IT professional The main focus of the subject is to provide students with the necessary tools, basic skills, experience and adequate knowledge so they develop an awareness and an understanding of the responsibilities and issues associated with professional conduct and practice in the information technology sector. This unit is for MIT, MITM, MIT/MITM students only. |
Semester 1 Semester 2 |
| INFO5992 Understanding IT Innovations |
6 | P 24 credit points of units at 5000-level or above N PMGT5875 |
Semester 1 Semester 2 |
| INFO6007 Project Management in IT |
6 | A Students enrolled in INFO6007 are assumed to have previously completed a Bachelor's degree in some area of IT, or have completed a Graduate Diploma in some area of IT, or have three years experience as a practising IT professional. Recent work experience, or recent postgraduate education, in software project management, software process improvement, or software quality assurance is an advantage N PMGT5871 |
Semester 1 Semester 2 |
Specialist units |
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| Candidates for the Master of Information Technology take a minimum of 18 credit points of Specialist units. | |||
| Candidates for the Graduate Diploma or Graduate Certificate take a minimum 12 credit points of Specialist units. | |||
| CISS6022 Cybersecurity |
6 | Semester 2 |
|
| COMP5045 Computational Geometry |
6 | A Experience with data structures and algorithms as covered in COMP9103 or COMP9123 or COMP2123 or COMP2823 or INFO1105 or INFO1905 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5046 Natural Language Processing |
6 | A Knowledge of an OO programming language |
Semester 1 |
| COMP5047 Pervasive Computing |
6 | A ELEC1601 and (COMP2129 or COMP2017 or COMP9017). Background in programming and operating systems that is sufficient for the student to independently learn new programming tools from standard online technical materials |
Semester 2 |
| 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) |
Semester 1 Semester 2 |
| COMP5206 Information Technologies and Systems |
6 | Semester 1 Semester 2 |
|
| COMP5216 Mobile Computing |
6 | A COMP5214 OR COMP9103 OR COMP9003. Software Development in JAVA, or similar introductory software development units |
Semester 2 |
| 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 |
Semester 1 |
| COMP5318 Machine Learning and Data Mining |
6 | A INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138 |
Semester 1 Semester 2 |
| COMP5328 Advanced Machine Learning |
6 | C COMP5318 OR COMP3308 OR COMP3608 |
Semester 2 |
| COMP5329 Deep Learning |
6 | A COMP5318 |
Semester 1 |
| COMP5338 Advanced Data Models |
6 | A This unit of study assumes foundational knowledge of relational database systems as taught in COMP5138/COMP9120 (Database Management Systems) or INFO2120/INFO2820/ISYS2120 (Database Systems 1) |
Semester 2 |
| COMP5347 Web Application Development |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 or COMP9003 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5348 Enterprise Scale Software Architecture This unit of study is not available in 2022 |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 and also COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions). |
Semester 1 |
| COMP5349 Cloud Computing |
6 | A Basic knowledge of computer networks as covered in INFO1112 or COMP9201 or COMP9601 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5405 Digital Media Computing |
6 | A Experience with programming skills, as covered in COMP9103 OR COMP9003 OR COMP9123 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions) N COMP5114 OR COMP9419 |
Semester 1 |
| COMP5415 Multimedia Design and Authoring |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 or COMP9003 (or equivalent UoS from different institutions) |
Semester 2 |
| COMP5416 Advanced Network Technologies |
6 | A ELEC3506 OR ELEC9506 OR ELEC5740 OR COMP5116 |
Semester 2 |
| COMP5424 Information Technology in Biomedicine |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 or COMP9003 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5425 Multimedia Retrieval |
6 | A Experience with programming skills, as covered in COMP9103 OR COMP9003 OR COMP9123 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5426 Parallel and Distributed Computing |
6 | A Experience with algorithm design and software development as covered in (COMP2017 or COMP9017) and COMP3027 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5427 Usability Engineering |
6 | A Skills with modelling as covered in ISYS2110 or ISYS2120 or COMP9110 or COMP9201 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5617 Empirical Security Analysis and Engineering |
6 | P INFO3616 or ELEC5616 or CSEC3616 |
Semester 2 |
| COMP5618 Applied Cybersecurity |
6 | A (ELEC5616 OR INFO2315 OR INFO2222) with a grade of Credit or greater |
Semester 2 |
| ELEC5509 Mobile Networks |
6 | A ELEC3505 AND ELEC3506. Basically, students need to know the concepts of data communications and mobile communications, which could be gained in one the following units of study: ELEC3505 Communications, ELEC3506 Data Communications and the Internet, or similar units. If you are not sure, please contact the instructor |
Semester 1 |
| ELEC5514 IoT Wireless Sensing and Networking |
6 | A ELEC3305 AND ELEC3506 AND ELEC3607 AND ELEC5508 |
Semester 2 |
| ELEC5517 Software Defined Networks |
6 | A ELEC3506 OR ELEC9506 |
Semester 2 |
| ELEC5616 Computer and Network Security |
6 | A A programming language, basic maths |
Semester 1 |
| ELEC5618 Software Quality Engineering |
6 | A Writing programs with multiple functions or methods in multiple files; design of complex data structures and combination in non trivial algorithms; use of an integrated development environment; software version control systems |
Semester 1 |
| ELEC5619 Object Oriented Application Frameworks |
6 | A Java programming, and some web development experience are essential. Databases strongly recommended |
Semester 2 |
| ELEC5620 Model Based Software Engineering |
6 | A A programming language, basic maths |
Semester 2 |
| ELEC5622 Signals, Software and Health |
6 | A Mathematics (linear algebra and probabilities) and basic programming skills (python/matlab/C++/java) |
Semester 2 |
| HSBH5003 e-Health for Health Professionals |
6 |
Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 |
| IDEA9106 Design Thinking |
6 | Semester 1 Semester 2 |
|
| INFO5010 IT Advanced Topic A This unit of study is not available in 2022 |
6 |
Note: Department permission required for enrolment |
Semester 1 |
| INFO5011 IT Advanced Topic B This unit of study is not available in 2022 |
6 |
Note: Department permission required for enrolment |
Semester 1 |
| 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) |
Intensive July |
| INFO5301 Information Security Management |
6 | A This unit of study assumes foundational knowledge of Information systems management. Two year IT industry exposure and a breadth of IT experience will be preferable |
Semester 1 |
| INFO5306 Enterprise Healthcare Information Systems |
6 | A The unit is expected to be taken after introductory courses in related units such as COMP5206 Information Technologies and Systems (or COMP5138/COMP9120 Database Management Systems) |
Semester 2 |
| PUBH5010 Epidemiology Methods and Uses |
6 | N BSTA5011 Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 |
| STAT5003 Computational Statistical Methods |
6 | A STAT5002 or equivalent introductory statistics course with a statistical computing component Note: Department permission required for enrolment |
Semester 1 Semester 2 |
Elective units |
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| COMP5705 Information Technology Short Project |
6 | N COMP5702 or COMP5703 or COMP5704 Note: Department permission required for enrolment |
Semester 1 Semester 2 |
| CSYS5010 Introduction to Complex Systems |
6 | Semester 1 Semester 2 |
|
| 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 |
Semester 2 |
| 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 |
Semester 2 |
| DATA5207 Data Analysis in the Social Sciences |
6 |
Note: Department permission required for enrolment in the following sessions:Intensive December |
Intensive December Semester 1 |
| ELEC5507 Error Control Coding |
6 | A Fundamental mathematics including probability theory and linear algebra. Basic knowledge on digital communications. Basic MATLAB programming skills is desired |
Semester 1 |
| ELEC5508 Wireless Engineering |
6 | A Basic knowledge in probability and statistics, analog and digital communications, error probability calculation in communications channels, and telecommunications network |
Semester 2 |
| ELEC5510 Satellite Communication Systems |
6 | A Knowledge of error probabilities, analog and digital modulation techniques and error performance evaluation studied in ELEC3505 Communications and ELEC4505 Digital Communication Systems, is assumed |
Semester 2 |
| ELEC5511 Optical Communication Systems |
6 | A (ELEC3405 OR ELEC9405) AND (ELEC3505 OR ELEC9505). Basic knowledge of communications, electronics and photonics |
Semester 1 |
| ELEC5512 Optical Networks |
6 | A Knowledge of digital communications, wave propagation, and fundamental optics |
Semester 2 |
| INFO5991 Services Science Management and Engineering |
6 | A INFO5990. Students are expected to have a degree in computer science, engineering, information technology, information systems or business |
Semester 2 |
| INFO6012 Information Technology Strategy and Value |
6 | P COMP5206 OR ISYS2160 |
Semester 1 |
| INFS6012 Digital Information Infrastructures |
6 | C INFS5002 or COMP5206 |
Semester 2 |
| INFS6015 Business Process Management |
6 | C INFS5002 or COMP5206 |
Semester 2 |
| INFS6016 Digital Business Models |
6 | A Understanding the major functions of a business and how those business functions interact internally and externally so the company can be competitive in the market is essential in order to critically analyse how and where a business can be innovative. Some knowledge of how technology can be applied in a business is also essential. Experience as a member of a project team is desirable C INFS5002 or COMP5206 |
Semester 2 |
| INFS6018 Managing with Information and Data |
6 | A Understanding the major functions of a business and how those business functions interact Semester 1 internally and externally so the company can be competitive in a changing market. How information systems can be used and managed in a business. How to critically analyse a business and determine its options for transformation. Desirable Experience as a member of a project team C INFS5002 or COMP5206 or QBUS5001 |
Semester 1 |
| ISYS5070 Change Management in IT This unit of study is not available in 2022 |
6 | A Basic knowledge of information systems as covered in (INFO6007 and COMP5206) or (ISYS2160 and INFO3333) (or equivalent UoS from different institutions). Note: Department permission required for enrolment |
Intensive January |
Foundation units |
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| Candidates for the Master of Information Technology and the Graduate Certificate in Information Technology take a maximum of 12 credit points of Foundation units of study. | |||
| COMP9003 Object-Oriented Programming |
6 | A COMP9001 OR INFO1110 OR INFO1910 N INFO1113 or INFO1103 or COMP9103 |
Semester 1 Semester 2 |
| COMP9007 Algorithms This unit of study is not available in 2022 |
6 | A This unit of study assumes that students have general knowledge of mathematics (especially Discrete Math) and problem solving. Having moderate knowledge about Data structures can also help students to better understand the concepts of Algorithms taught in this course. N COMP5211 |
Semester 1 Semester 2 |
| COMP9103 Software Development in Java This unit of study is not available in 2022 |
6 | N COMP5214 |
Semester 1 Semester 2 |
| COMP9110 System Analysis and Modelling |
6 | A Experience with a data model as in COMP9129 or COMP9103 or COMP9003 or COMP9220 or COMP9120 or COMP5212 or COMP5214 or COMP5028 or COMP5138 N ELEC3610 OR ELEC5743 OR INFO2110 OR INFO5001 OR ISYS2110 |
Semester 1 Semester 2 |
| COMP9120 Database Management Systems |
6 | A Some exposure to programming and some familiarity with data model concepts N INFO2120 OR INFO2820 OR INFO2005 OR INFO2905 OR COMP5138 OR ISYS2120. Students who have previously studied an introductory database subject as part of their undergraduate degree should not enrol in this foundational unit, as it covers the same foundational content |
Semester 1 Semester 2 |
| COMP9121 Design of Networks and Distributed Systems |
6 | N COMP5116 |
Semester 2 |
| COMP9123 Data Structures and Algorithms |
6 | N INFO1105 OR INFO1905 OR COMP2123 OR COMP2823 |
Semester 1 Semester 2 |
| COMP9201 Software Construction and Design 1 |
6 | A COMP9103 or COMP9003 (or equivalent UoS at a different institution) N INFO3220 OR SOFT2201 |
Semester 2 |
| COMP9601 Computer and Network Organisation |
6 | N COMP5213 |
Semester 1 |
| PUBH5018 Introductory Biostatistics This unit of study is not available in 2022 |
6 |
Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 |
| STAT5002 Introduction to Statistics |
6 | A HSC Mathematics |
Semester 1 Semester 2 |
| Only one of the two units COMP9201 Software Construction and Design 1 or COMP9110 System Analysis and Modelling can be taken. | |||
| COMP9007 Algorithms will not be offered in 2022. Students can replace this Foundation unit with COMP9123 Data Structure and Algorithms. | |||
Professional Pathway Project units |
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| 24 credit points of Core, Specialist or Foundation units must be completed before enrolling in any Project units of study. | |||
| The minimum requirement for the Professional Pathway is 12 credit points of Information Technology Capstone project units. These can be taken as COMP5707 and COMP5708 over two semesters, or as COMP5703 in one semester. | |||
| COMP5703 Information Technology Capstone Project |
12 | P A candidate for the MDS, MIT, MITM or MIT / MITM who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit N COMP5702 OR COMP5704 OR COMP5707 OR COMP5708 OR COMP5709 |
Semester 1 Semester 2 |
| COMP5707 Information Technology Capstone A |
6 | P A part time enrolled candidate for the MIT or MITM or MIT/MITM who has completed 24 credit points from Core or Specialist or Foundation units of study may take this unit N COMP5702 or COMP5704 or COMP5703 or COMP5709. Eligible students of the IT Capstone Project may choose either COMP5703 or (COMP5707 and COMP5708) or COMP5709 or (COMP5702 and COMP5704) Note: Department permission required for enrolment A candidate for the MDS, MIT, MITM or MIT / MITM who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit. Eligible students for the IT Capstone project will be required to complete both COMP5707 (6 CPS) and COMP5708 (6 CPS), totaling 12 CPS. |
Semester 1 Semester 2 |
| COMP5708 Information Technology Capstone B |
6 | P A part time enrolled candidate for the MIT or MITM or MIT/MITM who has completed 24 credit points from Core or Specialist or Foundation units of study may take this unit C COMP5707 N COMP5702 or COMP5704 or COMP5703 or COMP5709. Eligible students of the IT Capstone Project may choose either COMP5703 or (COMP5707 and COMP5708) or COMP5709 or (COMP5702 and COMP5704) Note: Department permission required for enrolment A candidate for the MIT, MITM or MIT / MITM who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit. Eligible students for the IT Capstone project will be required to complete both COMP5707 (6 CPS) and COMP5708 (6 CPS), totaling 12 CPS. |
Semester 1 Semester 2 |
| COMP5709 IT Capstone Project - Individual |
12 | A A candidate for the MDS, MIT, MITM or MIT / MITM who has completed 24 credit points from Core, Specialist or Foundation units of study, and has a WAM of 75+ may take this unit N COMP5702 OR COMP5703 OR COMP5704 OR COMP5707 OR COMP5708 Note: Department permission required for enrolment |
Semester 1 Semester 2 |
Research Pathway units |
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| Candidates who achieve Distinction (75%) average results or above over the first 24 credit points may gain admission to the Research Pathway, subject to the approval of the Program Director. | |||
| COMP5702 IT Research Project A |
12 | A Students should take INFO5993 either concurrently or prior to undertaking this project unit N COMP5707 OR COMP5708 OR COMP5703. Students enrolling (and eligible) for the IT Research Project are not eligible to enrol in the IT Capstone Project Units Note: Department permission required for enrolment A candidate for the MIT, MITM or MIT / MITM who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit. Eligible students for the IT Research project will be required to complete both COMP5702 (12CPS) and COMP5704 (6 CPS), totaling 18 CPS. In addition, students should take INFO5993 - Research Methods in IT either concurrently or prior to undertaking this project unit. |
Semester 1 Semester 2 |
| COMP5704 IT Research Project B |
6 | A Students should take INFO5993 either concurrently or prior to undertaking this project unit N COMP5707 OR COMP5708 OR COMP5703. Students enrolling (and eligible) for the IT Research Project are not eligible to enrol in the IT Capstone Project Units Note: Department permission required for enrolment A candidate for the MIT, MITM or MIT / MITM who has completed 24 credit points from Core, Specialist or Foundation units of study may take this unit. Eligible students for the IT Research project will be required to complete both COMP5702 (12CPS) and COMP5704 (6 CPS), totaling 18 CPS. In addition, students should take INFO5993 - Research Methods in IT either concurrently or prior to undertaking this project unit. |
Semester 1 Semester 2 |
| INFO5993 Computer Science Research Methods |
6 | N INFO4990 Note: Department permission required for enrolment |
Semester 1 Semester 2 |
Exchange units |
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| With approval, up to 24 credit points of Exchange units may be taken in place of other units, towards the requirements of the degree. | |||
Majors for the Master of Information Technology |
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| A major requires the completion of all core units of study as prescribed for this degree and at least 18 credit points chosen from the Specialist units of study listed in the tables below for the defined majors. | |||
Biomedical and Health Informatics |
|||
| COMP5206 Information Technologies and Systems |
6 | Semester 1 Semester 2 |
|
| COMP5405 Digital Media Computing |
6 | A Experience with programming skills, as covered in COMP9103 OR COMP9003 OR COMP9123 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions) N COMP5114 OR COMP9419 |
Semester 1 |
| COMP5424 Information Technology in Biomedicine |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 or COMP9003 (or equivalent UoS from different institutions) |
Semester 1 |
| ELEC5622 Signals, Software and Health |
6 | A Mathematics (linear algebra and probabilities) and basic programming skills (python/matlab/C++/java) |
Semester 2 |
| HSBH5003 e-Health for Health Professionals |
6 |
Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 |
| INFO5306 Enterprise Healthcare Information Systems |
6 | A The unit is expected to be taken after introductory courses in related units such as COMP5206 Information Technologies and Systems (or COMP5138/COMP9120 Database Management Systems) |
Semester 2 |
| PUBH5010 Epidemiology Methods and Uses |
6 | N BSTA5011 Refer to the unit of study outline https://www.sydney.edu.au/units |
Semester 1 |
Cybersecurity |
|||
| CISS6022 Cybersecurity |
6 | Semester 2 |
|
| COMP5347 Web Application Development |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 or COMP9003 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5416 Advanced Network Technologies |
6 | A ELEC3506 OR ELEC9506 OR ELEC5740 OR COMP5116 |
Semester 2 |
| COMP5617 Empirical Security Analysis and Engineering |
6 | P INFO3616 or ELEC5616 or CSEC3616 |
Semester 2 |
| COMP5618 Applied Cybersecurity |
6 | A (ELEC5616 OR INFO2315 OR INFO2222) with a grade of Credit or greater |
Semester 2 |
| ELEC5616 Computer and Network Security |
6 | A A programming language, basic maths |
Semester 1 |
| INFO5301 Information Security Management |
6 | A This unit of study assumes foundational knowledge of Information systems management. Two year IT industry exposure and a breadth of IT experience will be preferable |
Semester 1 |
Data Management and Analytics |
|||
| COMP5046 Natural Language Processing |
6 | A Knowledge of an OO programming language |
Semester 1 |
| 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) |
Semester 1 Semester 2 |
| COMP5318 Machine Learning and Data Mining |
6 | A INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138 |
Semester 1 Semester 2 |
| COMP5328 Advanced Machine Learning |
6 | C COMP5318 OR COMP3308 OR COMP3608 |
Semester 2 |
| COMP5329 Deep Learning |
6 | A COMP5318 |
Semester 1 |
| COMP5338 Advanced Data Models |
6 | A This unit of study assumes foundational knowledge of relational database systems as taught in COMP5138/COMP9120 (Database Management Systems) or INFO2120/INFO2820/ISYS2120 (Database Systems 1) |
Semester 2 |
| COMP5349 Cloud Computing |
6 | A Basic knowledge of computer networks as covered in INFO1112 or COMP9201 or COMP9601 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5425 Multimedia Retrieval |
6 | A Experience with programming skills, as covered in COMP9103 OR COMP9003 OR COMP9123 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions) |
Semester 1 |
| 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) |
Intensive July |
| STAT5003 Computational Statistical Methods |
6 | A STAT5002 or equivalent introductory statistics course with a statistical computing component Note: Department permission required for enrolment |
Semester 1 Semester 2 |
Digital Media Technology |
|||
| COMP5045 Computational Geometry |
6 | A Experience with data structures and algorithms as covered in COMP9103 or COMP9123 or COMP2123 or COMP2823 or INFO1105 or INFO1905 (or equivalent UoS from different institutions) |
Semester 1 |
| 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) |
Semester 1 Semester 2 |
| COMP5405 Digital Media Computing |
6 | A Experience with programming skills, as covered in COMP9103 OR COMP9003 OR COMP9123 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions) N COMP5114 OR COMP9419 |
Semester 1 |
| COMP5415 Multimedia Design and Authoring |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 or COMP9003 (or equivalent UoS from different institutions) |
Semester 2 |
| COMP5425 Multimedia Retrieval |
6 | A Experience with programming skills, as covered in COMP9103 OR COMP9003 OR COMP9123 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5427 Usability Engineering |
6 | A Skills with modelling as covered in ISYS2110 or ISYS2120 or COMP9110 or COMP9201 (or equivalent UoS from different institutions) |
Semester 1 |
| IDEA9106 Design Thinking |
6 | Semester 1 Semester 2 |
|
Networks and Distributed Systems |
|||
| COMP5047 Pervasive Computing |
6 | A ELEC1601 and (COMP2129 or COMP2017 or COMP9017). Background in programming and operating systems that is sufficient for the student to independently learn new programming tools from standard online technical materials |
Semester 2 |
| COMP5216 Mobile Computing |
6 | A COMP5214 OR COMP9103 OR COMP9003. Software Development in JAVA, or similar introductory software development units |
Semester 2 |
| 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 |
Semester 1 |
| COMP5349 Cloud Computing |
6 | A Basic knowledge of computer networks as covered in INFO1112 or COMP9201 or COMP9601 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5416 Advanced Network Technologies |
6 | A ELEC3506 OR ELEC9506 OR ELEC5740 OR COMP5116 |
Semester 2 |
| COMP5426 Parallel and Distributed Computing |
6 | A Experience with algorithm design and software development as covered in (COMP2017 or COMP9017) and COMP3027 (or equivalent UoS from different institutions) |
Semester 1 |
| ELEC5509 Mobile Networks |
6 | A ELEC3505 AND ELEC3506. Basically, students need to know the concepts of data communications and mobile communications, which could be gained in one the following units of study: ELEC3505 Communications, ELEC3506 Data Communications and the Internet, or similar units. If you are not sure, please contact the instructor |
Semester 1 |
| ELEC5514 IoT Wireless Sensing and Networking |
6 | A ELEC3305 AND ELEC3506 AND ELEC3607 AND ELEC5508 |
Semester 2 |
| ELEC5517 Software Defined Networks |
6 | A ELEC3506 OR ELEC9506 |
Semester 2 |
Software Engineering |
|||
| COMP5216 Mobile Computing |
6 | A COMP5214 OR COMP9103 OR COMP9003. Software Development in JAVA, or similar introductory software development units |
Semester 2 |
| COMP5347 Web Application Development |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 or COMP9003 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5348 Enterprise Scale Software Architecture This unit of study is not available in 2022 |
6 | A Experience with software development as covered in SOFT2412 or COMP9103 and also COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions). |
Semester 1 |
| COMP5349 Cloud Computing |
6 | A Basic knowledge of computer networks as covered in INFO1112 or COMP9201 or COMP9601 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5427 Usability Engineering |
6 | A Skills with modelling as covered in ISYS2110 or ISYS2120 or COMP9110 or COMP9201 (or equivalent UoS from different institutions) |
Semester 1 |
| ELEC5618 Software Quality Engineering |
6 | A Writing programs with multiple functions or methods in multiple files; design of complex data structures and combination in non trivial algorithms; use of an integrated development environment; software version control systems |
Semester 1 |
| ELEC5619 Object Oriented Application Frameworks |
6 | A Java programming, and some web development experience are essential. Databases strongly recommended |
Semester 2 |
| ELEC5620 Model Based Software Engineering |
6 | A A programming language, basic maths |
Semester 2 |