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Artificial Intelligence (150pt)
Specialisation (formal)Year: 2024
Artificial Intelligence (150pt)
Overview
The Master of Information Technology (MIT) is a 200-point, 150-point and 100-point program for those interested in a career in technical IT. The key aspects of the course are:
- Specialisation in key areas of Information Technology, namely Artificial Intelligence with a focus on the design, implementation and analysis of systems that learn, play and reason.
- Foundation studies in programming, algorithmics, databases and networking for students with minimal IT background, including exposure to the different areas of specialisation
- Formal studies in project and change management, including risk management, quality assurance and testing
- Optional 25-point industry placement with local IT organisations as part of the course (available on a competitive basis)
- Optional 25-point research project, qualifying students to advance to a PhD.
Intended learning outcomes
On completion of this course, students should have:
- Expertise in a key area of information technology
- Analytical skills and competencies in problem solving
- A sound fundamental understanding of the principles and methods of information technology
- Demonstrable competencies in the educational and professional standards of the professional institutions and boards with which the course is accredited
- A broad knowledge base of information technology so as to facilitate effective communication with those involved in the IT industry
- Have acquired the computational skills necessary to solve theoretical and practical problems for further professional development and for meeting future changes in IT
- Verbal and written communication skills that enable them to make a meaningful contribution to changing face of the IT industry
- Professional ethics and responsibility towards the IT profession and the broader community.
Last updated: 30 April 2024
Structure
150 credit points
The Artificial Intelligence specialisation in the 150pt Program is completed by undertaking:
- 25 credit points of Specialisation core subjects
- 25 credit points of Specialisation electives
- 12.5 credit points of Advanced specialisation core subjects
- 25 credit points of Advanced specialisation project selectives
- 62.5 credit points of Advanced specialisation and CIS electives including
- A minimum of 25 credit points of Advanced specialisation electives
Subject options
Specialisation core subjects
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90049 | Introduction to Machine Learning |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90054 | AI Planning for Autonomy |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Specialisation electives
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP30026 | Models of Computation | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90043 | Cryptography and Security | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90048 | Declarative Programming | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90050 | Advanced Database Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90051 | Statistical Machine Learning |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
ISYS90051 | Digital Impacts on Business and Society | Semester 1 (On Campus - Parkville) |
12.5 |
Advanced specialisation core subjects
Code | Name | Study period | Credit Points |
---|---|---|---|
SWEN90016 | Software Processes and Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Advanced specialisation project selectives
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90055 | Research Project |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
COMP90082 | Software Project |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
INFO90010 | Technology Innovation Project | Semester 1 (On Campus - Parkville) |
25 |
Advanced specialisation electives
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90042 | Natural Language Processing | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90046 | Constraint Programming | Not available in 2024 | 12.5 |
COMP90051 | Statistical Machine Learning |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90073 | Security Analytics | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90083 | Computational Modelling and Simulation | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90086 | Computer Vision | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90087 | The Ethics of Artificial Intelligence | Semester 1 (On Campus - Parkville) |
12.5 |
Advanced CIS electives
Code | Name | Study period | Credit Points |
---|---|---|---|
BUSA90473 | Business Practicum |
Summer Term (Off Campus)
July (Off Campus)
|
12.5 |
BUSA90485 | Global Business Practicum |
January (Off Campus)
June (Off Campus)
November (Off Campus)
|
12.5 |
COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90017 | Sensor Networks and Applications | Not available in 2024 | 12.5 |
COMP90018 | Mobile Computing Systems Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90024 | Cluster and Cloud Computing | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90042 | Natural Language Processing | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90046 | Constraint Programming | Not available in 2024 | 12.5 |
COMP90051 | Statistical Machine Learning |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90057 | Advanced Theoretical Computer Science | Not available in 2024 | 12.5 |
COMP90073 | Security Analytics | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90084 | Quantum Software Fundamentals | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90085 | Volunteer Experience in I.T. | Not available in 2024 | 12.5 |
COMP90086 | Computer Vision | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90087 | The Ethics of Artificial Intelligence | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90088 | Cryptocurrencies & decentralised ledgers | Not available in 2024 | 12.5 |
ELEN90094 | Large Data Methods & Applications | Semester 2 (On Campus - Parkville) |
12.5 |
ENGR90033 | Internship |
Summer Term (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
25 |
ENGR90039 | Creating Innovative Professionals |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
GEOM90007 | Information Visualisation | Semester 2 (Online) |
12.5 |
GEOM90008 | Spatial Data Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
ISYS90039 | Digital Innovation & Technopreneurship | Semester 1 (On Campus - Parkville) |
12.5 |
MULT90063 | Introduction to Quantum Computing | Semester 1 (On Campus - Parkville) |
12.5 |
SWEN90004 | Modelling Complex Software Systems | Semester 1 (On Campus - Parkville) |
12.5 |
GEOM90038 | Advanced Imaging |
Semester 1 (Online)
Semester 1 (On Campus - Parkville)
|
12.5 |
COMP90089 | Machine Learning Applications for Health | Semester 2 (On Campus - Parkville) |
12.5 |
ELEN90095 | AI for Robotics | Semester 2 (On Campus - Parkville) |
12.5 |
ELEN90096 | Hardware Accelerated Computing | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90090 | Text Analytics for Health | Semester 1 (On Campus - Parkville) |
12.5 |
(or another relevant subject with approval of the course coordinator)
Last updated: 30 April 2024