Students commencing in Semester 1
The Recommended Study Plan provided below is suitable for a student commencing in semester 1 and enrolling in a standard load. Students entering this course with advanced standing, or wishing to reduce or vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.
Legend: | CO = Core Unit | SE = Specialist Elective | R = Research |
Semester 1 | Semester 2 |
Year 1 |
HIT234 Database Concepts | CO | HIT137 Software Now | CO |
PRT520 Principles of Computing Systems | CO | HIT140 Foundations of Data Science | CO |
PRT531 Business Intelligence and Data Mining | CO | HIT220 Algorithms and Complexity | CO |
PRT551 Project Management, Risk and Reliability | CO | Specialist Elective | SE |
Year 2 |
PRT564 Data Analytics and Visualisation | CO | PRT563 Advanced Data Management | CO |
PRT574 Security Assessment in Software Development | CO | PRT565 Machine Learning, Artificial Intelligence and Algorithms | CO |
PRT604 Professional Experience (20cp) or PRT840 IT Thesis (20cp) OR PRT820 Master Thesis (20cp) x 2 | CO | PRT604 Professional Experience (20cp) or PRT840 IT Thesis (20cp) OR PRT820 Master Thesis (20cp) x 2 | CO |
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Students commencing in Semester 2
The Recommended Study Plan provided below is suitable for a student commencing in semester 2 and enrolling in a standard load. Students entering this course with advanced standing, or wishing to reduce or vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.
Semester 1 | Semester 2 |
Year 1 |
| | HIT137 Software Now | CO |
| | HIT140 Foundations of Data Science | CO |
| | HIT220 Algorithms and Complexity | CO |
| | Specialist Elective | SE |
Year 2 |
HIT234 Database Concepts | CO | PRT563 Advanced Data Management | CO |
PRT531 Business Intelligence and Data Mining | CO | PRT565 Machine Learning, Artificial Intelligence and Algorithms | CO |
PRT551 Project Management, Risk and Reliability | CO | PRT604 Professional Experience (20cp) or PRT840 IT Thesis (20cp) OR PRT820 Master Thesis (20cp) x 2 | CO |
PRT564 Data Analytics and Visualisation | CO | | |
Year 3 |
PRT520 Principles of Computing Systems | CO | | |
PRT574 Security Assessment in Software Development | CO | | |
PRT604 Professional Experience (20cp) or PRT840 IT Thesis (20cp) OR PRT820 Master Thesis (20cp) x 2 | CO | | |
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Students Commencing in Summer Semester
The Recommended Study Plan provided below is suitable for a student commencing in Summer Semester and enrolling in a standard full time load. Students entering this course with advanced standing, or wishing to vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.
Legend: | CU = Common Unit | CO = Core Unit | SE = Specialist Elective | E = Elective |
Semester 1 | Semester 2 | Summer Semester |
Year 1 |
| | | | HIT137 Software Now | CO |
| | | | PRT551 Project Management, Risk and Reliability | CO |
Year 2 |
HIT234 Database Concepts | CO | HIT140 Foundations of Data Science | CO | | |
PRT520 Principles of Computing Systems | CO | HIT220 Algorithms and Complexity | CO | | |
PRT531 Business Intelligence and Data Mining | CO | Specialist Elective | SE | | |
Year 3 |
PRT564 Data Analytics and Visualisation | CO | PRT563 Advanced Data Management | CO | | |
PRT574 Security Assessment in Software Development | CO | PRT565 Machine Learning, Artificial Intelligence and Algorithms | CO | | |
PRT604 Professional Experience (20cp) or PRT840 IT Thesis (20cp) OR PRT820 Master Thesis (20cp) x 2 | CO | PRT604 Professional Experience (20cp) or PRT840 IT Thesis (20cp) OR PRT820 Master Thesis (20cp) x 2 | CO | | |