Master of Computer Science
Unit of study table
Master of Computer Science |
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| To qualify for the award of the Master of Computer Science, a candidate must complete 96 credit points, comprising: | ||
| 1. Minimum 24 credit points and maximum 30 credit points of Foundation units of study including | ||
| (a) 12 credit points of Foundation Core units of study, and | ||
| (b) 6 credit points of Foundation Programming Selective unit of study, and | ||
| (c) 6 credit points of Foundation Networking Selective unit of study | ||
| 2. 18 credit points of Core units of study; and | ||
| 3. Minimum 24 credit points of Specialist units of study; and | ||
| 4. Maximum 12 credit points of Elective units of study; and | ||
| 5. 12 credit points of Capstone Pathway units of study; or | ||
| 6. 24 credit points of Research Pathway units of study; or | ||
| 7. 24 credit points of Work Integrated Pathway units of study. | ||
Master of Computer Science (advanced entry) |
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| To qualify for the award of the Master of Computer Science, a candidate must complete 96 credit points, comprising: | ||
| 1. Maximum 30 credit points of Foundation units of study; | ||
| 2. 18 credit points of Core units of study; and | ||
| 3. Minimum 24 credit points of Specialist units of study; and | ||
| 4. Maximum 12 credit points of Elective units of study; and | ||
| 5. 12 credit points of Capstone Pathway units of study; or | ||
| 6. 24 credit points of Research Pathway units of study; or | ||
| 7. 24 credit points of Work Integrated Pathway units of study. | ||
Graduate Diploma in Computer Science |
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| To qualify for the award of the Graduate Diploma in Computer Science, a candidate must complete 48 credit points, comprising: | ||
| 1. Maximum 24 credit points of Foundation units of study; and | ||
| 2. Maximum 18 credit points of core units of study; and | ||
| 3. Minimum 18 credit points of Specialist units of study; and | ||
| 4. Maximum 12 credit points of Elective units of study. | ||
Graduate Certificate in Computer Science |
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| To qualify for the award of the Graduate Certificate Computer Science, a candidate must complete 24 credit points, comprising: | ||
| 1. 12 credit points of Foundation Core units of study | ||
| 2. 6 credit points of Foundation Programming Selective units of study | ||
| 3. 6 credit points of Foundation Networking Selective units of study. | ||
Specialisations |
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Completion of a specialisation is not a requirement of the course. Candidates in the Master of Computer Science (advanced entry) stream may complete a maximum of two specialisations. A specialisation requires the completion of 24 credit points chosen from units of study listed in the table for that specialisation as specified in Master of Computer Science specialisation table. Units of study counted towards one specialisation may not count toward any other specialisation completed. The specialisations available are
Requirements for the specialisations are listed below. |
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Streams |
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| The Master of Computer Science is available in the following streams: | ||
| (a) Master of Computer Science | ||
| (b) Master of Computer Science (advanced entry) | ||
Unit of study |
Credit points |
A: Assumed knowledge P: Prerequisites
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Core units of Study |
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| 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 N INFO1111 or OINF5990 |
| INFO5992 Understanding IT Innovations |
6 | P 18 credit points of units at 5000-level or above N INFO4444 or PMGT5875 or OINF5992 |
| 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 or INFO3333 |
Foundation units of study |
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Foundation Core units |
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| 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 |
| COMP9123 Data Structures and Algorithms |
6 | A Discrete mathematics and probability (e.g. MATH1064 or equivalent) and programming experience (e.g. INFO1110 or COMP9001 or equivalent) N INFO1105 or INFO1905 or COMP2123 or COMP2823 |
Foundation Programming Selective units |
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| COMP9001 Introduction to Programming |
6 | N INFO1110 or INFO1910 or INFO1103 or INFO1903 or INFO1105 or INFO1905 or ENGG1810 |
| COMP9003 Object-Oriented Programming |
6 | A COMP9001 or INFO1110 or INFO1910 N INFO1113 or INFO1103 or COMP9103 |
| COMP9017 Systems Programming |
6 | A COMP9003; discrete mathematics and probability (e.g. MATH1064 or equivalent); linear algebra (e.g. MATH1061 or equivalent) N COMP2129 or COMP2017 or COMP9129 |
Foundation Networking Selective units |
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| COMP9121 Design of Networks and Distributed Systems |
6 | N COMP5116 |
| COMP9601 Computer and Network Organisation |
6 | N COMP5213 |
Foundation Modelling units |
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| 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 |
| COMP9201 Software Construction and Design 1 |
6 | A COMP9103 or COMP9003 (or equivalent UoS at a different institution) N INFO3220 or SOFT2201 |
Foundation Elective units |
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| COMP9001 Introduction to Programming |
6 | N INFO1110 or INFO1910 or INFO1103 or INFO1903 or INFO1105 or INFO1905 or ENGG1810 |
| COMP9003 Object-Oriented Programming |
6 | A COMP9001 or INFO1110 or INFO1910 N INFO1113 or INFO1103 or COMP9103 |
| COMP9017 Systems Programming |
6 | A COMP9003; discrete mathematics and probability (e.g. MATH1064 or equivalent); linear algebra (e.g. MATH1061 or equivalent) N COMP2129 or COMP2017 or COMP9129 |
| 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 |
| 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 |
| COMP9121 Design of Networks and Distributed Systems |
6 | N COMP5116 |
| COMP9123 Data Structures and Algorithms |
6 | A Discrete mathematics and probability (e.g. MATH1064 or equivalent) and programming experience (e.g. INFO1110 or COMP9001 or equivalent) N INFO1105 or INFO1905 or COMP2123 or COMP2823 |
| COMP9601 Computer and Network Organisation |
6 | N COMP5213 |
| STAT5002 Introduction to Statistics |
6 | A HSC Mathematics |
Specialist units of study |
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Algorithms and Theory Specialisation units |
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| COMP5045 Computational Geometry |
6 | A COMP3027 or equivalent and Discrete mathematics and probability (e.g. MATH1064 or equivalent) P COMP9123 or COMP2123 or COMP2823 N COMP4445 |
| COMP5270 Randomised and Advanced Algorithms |
6 | A COMP3027 or equivalent; discrete mathematics and probability (e.g. MATH1064 or equivalent) P COMP9123 or COMP2123 or COMP2823 N COMP4270 |
| COMP5530 Discrete Optimisation |
6 | A COMP3027 and Discrete mathematics and probability (e.g. MATH1064 or equivalent) and Linear algebra (e.g. MATH1061 or equivalent) P COMP9123 or COMP2123 or COMP2823 N COMP3530 or COMP4530 |
| 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 |
Cybersecurity Specialisation units |
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| COMP5618 Applied Cybersecurity |
6 | A (CSEC3616 or INFO3616 or CSEC5616 or ELEC5616 or INFO2315 or INFO2222) with a grade of credit or greater N COMP4618 or OCMP5618 |
| CSEC5614 Data Privacy: Theory and Practice |
6 | A CSEC5616 or OCSE5616 or ELEC5616 or INFO3616 or INFO2222 N OCSE5614 |
| CSEC5616 Cybersecurity Engineering |
6 | A A technical orientation is absolutely required, especially the capacity to become familiar with new technology without explicit supervision. Good programming skills in Python or a C-related language, basic networking knowledge, and skills from discrete mathematics are assumed. These topics are covered at appropriate level in our undergraduate units INFO1110, INFO1112, INFO1113 and MATH1064. N ELEC5616 or OCSE5616 |
| 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 N OINF5301 |
Data Science and AI Specialisation units |
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| COMP5310 Principles of Data Science |
6 | A Good understanding of relational data model and database technologies as covered in ISYS2120 or COMP9120 (or equivalent UoS from different institutions) N INFO3406 or OCMP5310 |
| 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). Discrete mathematics and probability (e.g. MATH1064 or equivalent); linear algebra and calculus (e.g. MATH1061 or equivalent) N COMP4318 or OCMP5318 |
| COMP5339 Data Engineering |
6 | A Proficiency in programming, especially Python, and in database querying with SQL; basic Unix scripting P COMP5310 N OCMP5339 |
| STAT5003 Computational Statistical Methods |
6 | A STAT5002 or equivalent introductory statistics course with a statistical computing component |
Digital Media Specialisation units |
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| 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 COMP4405 or COMP5114 or COMP9419 |
| 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) N COMP4415 |
| 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) N COMP4425 |
| COMP5427 Usability Engineering |
6 | N COMP4427 |
Human-Computer Interaction Specialisation units |
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| 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 N COMP4447 |
| 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 |
| COMP5427 Usability Engineering |
6 | N COMP4427 |
| IDEA9106 Design Thinking |
6 | |
Networks and Distributed Systems Specialisation units |
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| COMP5216 Mobile Computing |
6 | A COMP5214 or COMP9103 or COMP9003. Software Development in JAVA, or similar introductory software development units N COMP4216 |
| 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 |
| COMP5416 Advanced Network Technologies |
6 | A COMP3221 or ELEC3506 or ELEC9506 or ELEC5740 or COMP5116 or COMP9121 N COMP4416 |
| 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) N COMP4426 or OCMP5426 |
Software Engineering Specialisation units |
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| COMP5347 Web Application Development |
6 | A Experience with software development as covered in SOFT2412 or COMP9412 or INFO1113 or COMP9103 or COMP9003 and experience in database management systems as covered in ISYS2120 or COMP9120. N COMP4347 |
| COMP5348 Enterprise Scale Software Architecture |
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) N COMP4348 |
| 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 |
| ELEC5620 Model Based Software Engineering |
6 | A A programming language, basic maths |
Unspecified Specialisation units |
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| COMP5045 Computational Geometry |
6 | A COMP3027 or equivalent and Discrete mathematics and probability (e.g. MATH1064 or equivalent) P COMP9123 or COMP2123 or COMP2823 N COMP4445 |
| COMP5046 Natural Language Processing |
6 | A Knowledge of an OO programming language N COMP4446 |
| 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 N COMP4447 |
| COMP5216 Mobile Computing |
6 | A COMP5214 or COMP9103 or COMP9003. Software Development in JAVA, or similar introductory software development units N COMP4216 |
| COMP5270 Randomised and Advanced Algorithms |
6 | A COMP3027 or equivalent; discrete mathematics and probability (e.g. MATH1064 or equivalent) P COMP9123 or COMP2123 or COMP2823 N COMP4270 |
| 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 |
| 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). Discrete mathematics and probability (e.g. MATH1064 or equivalent); linear algebra and calculus (e.g. MATH1061 or equivalent) N COMP4318 or OCMP5318 |
| COMP5339 Data Engineering |
6 | A Proficiency in programming, especially Python, and in database querying with SQL; basic Unix scripting P COMP5310 N OCMP5339 |
| COMP5347 Web Application Development |
6 | A Experience with software development as covered in SOFT2412 or COMP9412 or INFO1113 or COMP9103 or COMP9003 and experience in database management systems as covered in ISYS2120 or COMP9120. N COMP4347 |
| COMP5348 Enterprise Scale Software Architecture |
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) N COMP4348 |
| COMP5349 Cloud Computing |
6 | A Basic programming skills as covered in INFO1110 or INFO1910 or ENGG1810 or COMP9001 or COMP9003. Knowledge of OS concepts as covered in INFO1112 or COMP9201 or COMP9601 would be an advantage. N COMP4349 or OCMP5349 |
| 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 COMP4405 or COMP5114 or COMP9419 |
| 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) N COMP4415 |
| COMP5416 Advanced Network Technologies |
6 | A COMP3221 or ELEC3506 or ELEC9506 or ELEC5740 or COMP5116 or COMP9121 N COMP4416 |
| 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) N COMP4425 |
| 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) N COMP4426 or OCMP5426 |
| COMP5427 Usability Engineering |
6 | N COMP4427 |
| COMP5530 Discrete Optimisation |
6 | A COMP3027 and Discrete mathematics and probability (e.g. MATH1064 or equivalent) and Linear algebra (e.g. MATH1061 or equivalent) P COMP9123 or COMP2123 or COMP2823 N COMP3530 or COMP4530 |
| COMP5618 Applied Cybersecurity |
6 | A (CSEC3616 or INFO3616 or CSEC5616 or ELEC5616 or INFO2315 or INFO2222) with a grade of credit or greater N COMP4618 or OCMP5618 |
| CSEC5614 Data Privacy: Theory and Practice |
6 | A CSEC5616 or OCSE5616 or ELEC5616 or INFO3616 or INFO2222 N OCSE5614 |
| 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 |
| 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 |
| ELEC5620 Model Based Software Engineering |
6 | A A programming language, basic maths |
| IDEA9106 Design Thinking |
6 | |
| 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 N OINF5301 |
| STAT5003 Computational Statistical Methods |
6 | A STAT5002 or equivalent introductory statistics course with a statistical computing component |
Elective units of study |
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| CISS6022 Cybersecurity |
6 | |
| DATA5207 Data Analysis in the Social Sciences |
6 | N DATA4207 |
| 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 |
| ELEC5508 Wireless Engineering |
6 | A Basic knowledge in probability and statistics, analog and digital communications, error probability calculation in communications channels, and telecommunications network |
| 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 |
| 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 |
| ELEC5514 IoT Wireless Sensing and Networking |
6 | A ELEC3305 and ELEC3506 and ELEC3607 and ELEC5508 |
| ELEC5517 Software Defined Networks |
6 | A ELEC3506 or ELEC9506 |
| ELEC5619 Object Oriented Application Frameworks |
6 | A Java programming, and some web development experience are essential. Databases strongly recommended |
| INFO5010 IT Advanced Topic A |
6 | |
| INFO5011 IT Advanced Topic B |
6 | |
Project units of study |
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Capstone Pathway units |
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| COMP5703 Information Technology Capstone Project |
12 | A The capstone project must be completed in the final semester. P A candidate for [MIT, MITM or MIT/MITM who has completed 36 credit points] or [MCS who has completed 60 credit points] may take this unit. N COMP5702 or COMP5704 or COMP5707 or COMP5708 or COMP5709 or COMP5802 |
| COMP5707 Information Technology Capstone A |
6 | A The capstone project must be completed in the final semesters. P A part time enrolled candidate for [MIT, MITM or MIT/MITM who has completed 36 credit points] or [MCS who has completed 60 credit points] may take this unit N COMP5702 or COMP5704 or COMP5703 or COMP5709 or COMP5802 Eligible students of the IT Capstone Project may choose either COMP5703 or (COMP5707 and COMP5708) or COMP5709 |
| COMP5708 Information Technology Capstone B |
6 | A The capstone project must be completed in the final semesters. P A part time enrolled candidate for [MIT, MITM or MIT/MITM who has completed 36 credit points] or [MCS who has completed 60 credit points] may take this unit C COMP5707 N COMP5702 or COMP5704 or COMP5703 or COMP5709 or COMP5802 Eligible students of the IT Capstone Project may choose either COMP5703 or (COMP5707 and COMP5708) or COMP5709 |
| COMP5709 IT Capstone Project - Individual |
12 | A A candidate for [MIT, MITM or MIT/MITM who has completed 36 credit points] or [MCS who has completed 60 credit points] and has a WAM of 75 or over may take this unit. P Minimum WAM of 75 N COMP5702 or COMP5703 or COMP5704 or COMP5707 or COMP5708 or COMP5802 |
Research Pathway units |
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| COMP5702 IT Research Project A |
12 | A A candidate for [MIT/MITM students who has finished 24 credit points of Core or Specialist units of study] or [(MIT or MITM who has completed 24 credit points] or [MCS Research Pathway who has completed a minimum of 48 credit points) from Core or Specialist or Foundation units of study] with a WAM of 75 or more may apply for the Research Pathway. Students should take INFO5993 either concurrently or prior to undertaking this project unit. The Research Project units must be taken in the final two semesters. P Minimum WAM of 75 N COMP5703 or COMP5707 or COMP5708 or COMP5709 or COMP5802 Students enrolling (and eligible) for the IT Research Project are not eligible to enrol in the IT Capstone Project nor the Work Integrated Project units of study |
| COMP5704 IT Research Project B |
6 | A A candidate for [MIT/MITM students who has finished 24 credit points of Core or Specialist units of study] or [(MIT or MITM who has completed 24 credit points] or [MCS Research Pathway who has completed a minimum of 48 credit points) from Core or Specialist or Foundation units of study] with a WAM of 75 or more may apply for the Research Pathway. Students should take INFO5993 either concurrently or prior to undertaking this project unit. The Research Project units must be taken in the final two semesters. P Minimum WAM of 75 N COMP5703 or COMP5707 or COMP5708 or COMP5709 or COMP5802 Students enrolling (and eligible) for the IT Research Project are not eligible to enrol in the IT Capstone Project nor the Work Integrated Project units of study |
| INFO5993 Computer Science Research Methods |
6 | N INFO4990 |
Work Integrated Pathway units |
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| COMP5802 Work Integrated Project |
24 | A Subject to the availability of suitable industry placements, a candidate for Master of Computer Science Work Integrated pathway who has completed a minimum of 48 credit points from Core or Specialist or Foundation units of study with a WAM of 75 or more may apply for this unit N COMP5702 or COMP5703 or COMP5704 or COMP5707 or COMP5708 or COMP5709 Students enrolling in (and eligible for) the Work Integrated Project are not eligible to enrol in IT Research Project or IT Capstone Project units |
