This IT course has four majors: Cyber Security, Data Analytics and AI, Cloud Computing and IoT, and Software Engineering. In this degree, you’ll find a major focus on industry engagement. In partnership with IT industry giants such as Cisco, AWS and Microsoft, we deliver a course based on current and future industry requirements.
In this degree, you will learn:
Gain hands-on, practical experience using real equipment as well as the theoretical knowledge to be productive in the workforce from day one. You’ll learn using courseware from industry academies, which can also lead to industry certifications. You’ll be ready to demonstrate your value to an employer with this evidence-based approach.
The Australian Government Job Outlook site rates these as job areas expected to grow strongly to very strongly to 2023. High profile companies such as Telstra, IBM, NAB and Dimension Data have employed our recent graduates.
Last updated:
Tue, 26 Mar 2024 03:00:29 GMT
Box Hill Institute reserves the right to alter or delete details of a course offering, fees or other information provided
February & July
Full time: 3 years
Part time: 6 years (the time taken to complete this course will vary depending on your input)
After successful completion of all first & second year units, you can exit the course with an Associate Degree of Information Technology.
This is a blended delivery course which will include a combination of online, remote and face to face delivery. Blended learning can involve a range of online programs and resources including StudentWeb, Microsoft Teams, Cisco Webex, Skype, specific industry platforms, pre-recorded sessions, assigned reading, tutorials, discussion boards, and online activities. Blended learning also involves face-to-face attendance at classes or practical placements.
For information regarding dates such as enrolment, orientation and study breaks please visit the Academic Calendars page.
Location | Study Mode | Study Load | Start Date | ||
---|---|---|---|---|---|
22 Jul 2024 | |||||
Start Date : 22 Jul 2024 | |||||
22 Jul 2024 | |||||
Start Date : 22 Jul 2024 | |||||
On completion of the award, you will be able to:
Applicants with Higher Education study
Applicants who have completed some of a higher education course, either at non-university higher education providers or university, are welcome to apply.
Applicants seeking to transfer to Box Hill Institute from another education provider or applicants changing to a different course at Box Hill Institute can apply for advanced credits. All applications for advanced credits are assessed on an individual basis and are granted for subjects where the content and learning outcomes has been demonstrated through your completion of subjects.
Interview: All applicants will be interviewed. You will be asked a series of questions relating to your suitability for the course. You are expected to demonstrate a clear understanding of career goals and an aptitude for the course of study, including any relevant industry experience.
Applicants with Vocational Education and Training (VET) Study
Applicants who have completed a VET course of study (a VET Certificate IV course as minimum) with ICT field of study focus at a public TAFE or other VET provider either recently or some time ago are welcome to apply. You may receive advanced credits for relevant subjects on the basis of your diploma studies.
Applicants seeking to transfer to Box Hill Institute from another education provider or applicants changing to a different course at Box Hill Institute can apply for Advanced Credits. All applications for Advanced Credits are assessed on an individual basis and are granted for subjects where the content and learning outcomes has been demonstrated through your completion of subjects in your prior course.
Interview: All applicants will be interviewed. You will be asked a series of questions relating to your suitability for the course. You are expected to demonstrate a clear understanding of career goals and an aptitude for the course of study, including any relevant industry experience.
Applicants with recent secondary education
Applicants with recent secondary education are those whose admission is based primarily on completion of Year 12 undertaken at school, TAFE or other VET or higher education provider (this includes both Australian or overseas equivalent) that was completed (or will be) in the current year or within the previous two years.
You can apply to study with us through direct entry if you have:
Interview: All applicants will be interviewed. You will be asked a series of questions relating to your suitability for the course. You are expected to demonstrate a clear understanding of career goals and an aptitude for the course of study, including any relevant industry experience.
Applicants with work and life experience
Applicants with work and life experience have left secondary education more than two years ago (i.e. applicants who are not classified as recent secondary education applicants) and have not undertaken VET or higher education study since then.
‘Experience’ could include a combination of factors sufficient to demonstrate readiness for higher education. This includes mature age entry, professional experience, community involvement or work experience.
Applicants are required to present evidence of current employment or experience in the ICT industry together with evidence of your ability to meet the demands of the program.
Interview: All applicants will be interviewed. You will be asked a series of questions relating to your suitability for the course. You are expected to demonstrate a clear understanding of career goals and an aptitude for the course of study, including any relevant industry experience.
VTAC application and direct entry available
Applicants completing secondary education (Year 12) or equivalent must:
All other applicants must:
Recognition of Prior Learning is available.
Successful completion will enable you to pursue higher education programs at other tertiary organisations.
We have established articulation pathways to Honours and Masters programs at several Australian universities. Please contact us for more details.
This course is accredited by the Tertiary Education Quality and Standards Agency (TEQSA) and the qualification is aligned with the Australian Qualification Framework (AQF) level 7 and Box Hill Institute Graduate Attributes.
Full Fee | |
Tuition Fee | $51,696 |
Service & Amenity Fee | $828 |
Material Fee | $0 |
Retain Course Items | $0 |
Total Course Estimate | $52,524 |
Payable Estimate (at commencement) | $17,500 |
Service & Amenity Fee may vary depending on course commencement and enrolment duration. Retain Course Items are purchased once by the student prior to commencing. Those items then become the property of the student. Fees listed are at 2024 rates and may increase annually over the duration of delivery. The student tuition fees listed are subject to change given individual circumstances at enrolment. For more information please contact our Course Advisors on 1300 BOX HILL.
The course structure consists of 12 core units, 8 major specialist subjects and 4 electives from different specialisation or major streams, including cyber security, data analytics and AI, cloud computing and IoT, and software engineering. The details of the core units and elective units in each specialisation are shown at the end.
This unit gives an overview of the principal areas of Cyber Security. It covers the seven domains of systems security as identified by the International Information System Security Certification Consortium (ISC)². The areas covered include cyber security analysis, controls and operations, various cyber security threats, various threat mitigation techniques, and responding to cyber-attacks.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit covers fundamental cloud computing topics as they pertain to both technology and business considerations. It covers Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) Cloud Delivery Models and public, private, hybrid and community clouds. External issues, such as service level agreements, privacy, security and legal requirements are addressed. The unit includes vendor-independent courseware from EMC. It also includes a practical component based on vendor-specific cloud frameworks, such as Google and/or Amazon clouds.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
In this unit two aspects of business management will be examined: organisational leadership and financial planning. Styles of organisational structure, strong leadership and the effective management of people will also be explored. Some theoretical concepts will be introduced related to the various categories of management style and positional hierarchies of people in organisations, however, strong emphasis will be placed on observing and reporting on ‘real examples’ in order to demonstrate the value of these concepts. Students will investigate the principles of sound business accounting practice and financial planning, and introduce various tools of financial planning and analysis.
Subject contact hours (per week):
1x2hr lecture; 1x2hr tutorial
This unit provides a solid basis for students in networking and routing. This will involve an examination of networking from the OSI (Open Systems Interconnection) seven-layer model and TCP/IP perspectives. Students will learn the function and operation of appropriate equipment from each layer. Presented with a small to medium network specification, students will perform the task of commissioning a network themselves.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit provides an introduction to computer systems hardware and architecture, and the fundamentals of operating systems. Using the PC as an example of a modern computer system, the unit will include the various aspects of hardware construction, fault-finding and commissioning. Suitable hardware devices and associated software will be selected, installed and commissioned to meet a given set of specifications. This is followed by the installation and configuration of a typical operating system, with emphasis on the abstraction layers it provides to the associated hardware.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit is intended to introduce the student to the contexts and activities of Systems Analysis and Design. The objective of this unit is to equip students with fundamental investigation and planning activities associated with the development and maintenance of information systems. Informed decision-making, new or changed business processes and data collections by representing the essence of the business activities as a number of simple diagrammatic models are covered. Abstract diagrammatic models enable evaluation of the impacts of the proposed new system or agile augmentations to current system prior to making decisions about the development or extension of information systems.
Subject contact hours (per week):
1x2hr lecture; 1x2hr tutorial
This unit provides students with an introduction to computer programming. It is assumed that students will have little or no previous programming knowledge. The basic concepts of programming will be covered including data types, selection, iteration, input/output, file handling, arrays and the basics of object oriented programming. This unit provides the foundation for the other more advanced and specialised programming units.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical
This unit introduces students to the concept of the database, its use as a repository of organisational information, and to basic technical requirements of database management. Relational models of data will be used to design databases from stated business requirements, how to create and populate database tables, modify table contents and interrogate tables in order to report the organisational information held within the database. The administration of users and security will also be covered, and Structured Query Language (SQL) used to create, populate and interrogate relational databases, and non-relational databases also investigated.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit looks at the ethical implications of the widespread use of ICT systems and how governance frameworks are used to guide businesses in the ethical use of ICT. ICT professional knowledge, including professional practice responsibilities, and ICT professional ethical and legal issues will be covered in detail. Student’s will further develop their interpersonal and organisational communication skills, knowledge and understanding of IT governance and ICT service management that graduates will require in professional practice.
Subject contact hours (per week):
1x2hr lecture; 1x2hr tutorial
This unit is designed to provide the knowledge and how to apply in practice as required by professionals in any discipline as a foundation for working on, initiating and managing organisational projects. Project management methodologies such as PMBOK, Prince2 and Agile will be explored, and the staged nature of projects and the processes within the project stages analysed. The characteristic techniques that have application in the processes of project management will be explored, such as Cost Benefit Analysis, Critical Path Method (CPM), Gantt Charts, Risk Analysis, Resource Scheduling and Load Balancing.
Subject contact hours (per week):
1x2hr lecture; 1x2hr tutorial
This unit introduces students to entrepreneurship, innovation and new ICT venture management in today’s business world. The unit will cover how to leverage business management knowledge and use it successfully in entrepreneurial ventures with a key focus on the development of enterprising and entrepreneurial attitudes, skills and behaviours to ensure the effective establishment of management and work, regardless of the organisational context.
Subject contact hours (per week):
1x2hr lecture; 1x2hr tutorial
This unit provides an opportunity for students to put into practice the theoretical and practical knowledge acquired during the course and their major study. Working in groups, each group will undertake a project relevant to their major to create a new ICT product or improve an existing ICT product. Each project will go through the various system development life cycle stages including executed project planning, design, implementation, and testing. Students will present their project outcomes and demonstrate the working product during a seminar arranged by a project coordinator at the end of the semester.
Subject contact hours (per week):
1x4hr workshop/ projet work/practical/presentation
This unit looks at the various network security issues, including malicious activities targeted to identify existing vulnerabilities of a computer network. Following on with theoretical knowledge of various technical methodologies and management policies designed to protect a computer network from such activity, the emphasis of this unit will be on the application of theoretical knowledge to configure a secure network within a laboratory environment. Advanced techniques in network security and its practical implementation will also be covered.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical
Common Cyber Security attacks involve weaknesses and exploits in operating systems and services such as web servers and databases. This unit looks at typical problems with configuration and deployment of these systems and considers how to harden them against attack. Detection and response systems, such as intrusion detection are also covered, with consideration of security controls and their use in managing risk.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical
Cyber security governance specifies the accountability framework and provides oversight to ensure that risks are adequately mitigated, while management ensures that controls are implemented to mitigate risks. Management recommends security strategies. Governance ensures that security strategies are aligned with business objectives and consistent with regulations. This unit examines both governance and its realisation in management, covering legal requirements, business constraints and policies, and cyber security resources.
Subject contact hours (per week):
1x2hr lecture; 1x2hr tutorial
The aim of this unit is to enable students to plan, implement, optimise, secure and maintain a network server operating system infrastructure. Topics include, how to plan, design, implement, analyse and configure core server functions, as well as design and implement a directory service solution.
Students will consolidate knowledge and skills of these concepts with hands-on laboratory work.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical
This unit builds on the concepts of Cyber Security covered in the unit Overview of Cyber Security (BIT101). It includes investigating various cyber security techniques and how to implement to protect enterprise networks, operating systems, databases, servers, mobile and Internet of Things (IoT) devices. Additional measures explored will include controlling network access, intrusion and prevention. The unit will also cover various methods to investigate the trail of a cyber attack and efficient strategies to prevent successful attacks.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
Technology and cyber security is a changing landscape. Current trends and potential future changes in technology, with a particular focus on Cyber Security are the focus of this unit. A selection of new technologies will be explored, along with the reasons for their emergence and their potential to transform the current technology market.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial/presentation
This unit introduces students to computer crime, forensic techniques, digital evidence and retrieval of information. Students will learn the principles and techniques for digital forensics investigation and the spectrum of available computer forensics tools. The Australian legal framework for forensic evidence, specific forensic techniques such as memory forensics, disc forensics, network forensics, device forensics, stealth techniques, anti-forensics, and managing log files, and professional forensic practice (including chain of custody, records) will also be covered.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical
The Cyber Security threat space is continually changing with new vulnerabilities and threats discovered on an almost daily basis. Both proactive and reactive responses are required and continual assessments of the risk profile of an enterprise need to be made. This unit considers the scope of current threats, how to manage them, and how to monitor and respond to new threats. The emphasis is on emerging skills and knowledge to stay abreast of current, new and developing threats, how to assess risk and how to deal with the threats.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical
This unit introduces students to the fundamental concepts of data analytics through real-world case studies and examples. Students will learn about data analytics project lifecycles, the difference between data analytics, data science, and machine learning; building an analytics framework, and using analytic tools to draw business insights.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
Statistical methods are key components for data analysis and this unit introduces formal statistical methods for data analytics. Students will be introduced to exploratory data analysis approaches, a key preliminary step for understanding the data, and the concept of random sampling, an important requirement to reduce bias and yield a higher quality dataset, even with big data. The unit will also include the principles of experiment design for providing definitive answers to questions, and use of regression analysis approaches to estimate outcomes and detect anomalies. Key classification techniques for predicting which categories a record belongs will also be covered.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit introduces the tools and techniques of data analytics with the application to business intelligence. Students will be introduced to the descriptive and predictive tools for data analytics, as well as the technologies, applications and practices needed for the collection, integration, analysis, and presentation of business information. How to facilitate effective implementation of organisational strategies through better business decision making will also be covered.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit introduces students to the foundations, state-of-the-art models and techniques and applications of machine learning and artificial intelligence technologies. Capabilities, strengths and limitations of various artificial intelligence and machine learning techniques will be explored, and students will have the opportunity to apply appropriate artificial intelligence (AI) and machine learning algorithms to solve complex real world problems.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit introduces the concepts of data visualisation and analysis, the art and science of turning data into readable graphics, and making inference. Students will explore how to design and create data visualisations based on data, and obtain meaning interpretations and analysis. This process includes data modelling, data processing (such as aggregation and filtering), mapping data attributes to graphical attributes, and strategic visual encoding based on known properties of visual perception as well as the task(s) at hand. Students will also learn to evaluate the effectiveness of immersive visualisations using augmented reality (AR), virtual reality (VR) and mixed reality (MR) technologies. They will also be able to create their own visualisations and analyse pipeline for data corresponding to real world application settings.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit consolidates the skill set attained by students in the Data Analytics and Artificial Intelligence (AI) major. Students will undertake a data analytics and AI design project, using appropriate algorithms, tools and technologies, implement and transform the raw data into useful information and apply to real world application settings, and communicate the results to various audiences.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit introduces students to emerging topics in big data technologies, covering the concepts and skills required for mining massive data sets with a focus on the practical application of the concepts, tools and techniques in complex real world, automation situations. Building on knowledge gained in previous units, students will further explore the complexities of multidimensional big data sets, review guidelines on selecting the appropriate big data platforms and tools, prepare inputs, interpret outputs, evaluate results, and develop new algorithmic and computational pipelines, at the heart of successful automation solutions, using big data analytics approaches.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit introduces students to the importance of data governance which help an organisation to better manage some of the important aspects of data, such as availability, usability, integrity, and security. Students will be introduced to the core principles of data security, data loss prevention, data integrity, data integration, data lineage, and data completeness. They will analyse and critique data governance approaches used in different business and enterprise settings, based on these core principles, and identify the best practice data governance approaches for driving business value and supporting Artificial Intelligence (AI) transformation, resulting in the management of data as an important strategic and artificial intelligence asset.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
In this unit students will learn about the basics of the Internet of Things (IoT) systems. It will focus on sensors and actuators and how these are linked into through edge devices and cloud systems to form complete IoT systems. It includes practical use of sensors and programming using edge devices such as the Raspberry Pi and Arduino, and basic networking to connect to cloud systems using communication protocols such as REST and MQTT.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
The architecture of Internet of Things (IoT) systems, including infrastructure, communication protocols and data formats, and of the tools and frameworks to support building IoT systems is the focus of this unit. Content includes both theoretical concepts and practical work, and will result in the student building a complete end-to-end IoT system involving sensors and actuators, networking and cloud processing.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit builds on the cloud concepts introduced in the core unit (BIT102 - Introduction to Cloud Computing). It introduces the concepts and implementation of cloud infrastructure services based on the cloud computing reference model. Cloud architecture, comprising technologies, components, processes, and mechanisms will be covered in detail and students will utilise this knowledge to implement virtualisation, storage, business continuity, big data, Internet of Things (IoT) and security solutions using open source frameworks and commonly available tools within the Cloud Infrastructure Industry. The unit will also include the design and deployment of a private cloud solution using an open source cloud platform.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
The focus of this unit is on the development of applications for current and emerging mobile devices, including programming techniques and design patterns for the development of standalone and networked mobile applications. This will include practical tasks such as programming frameworks for Android and iOS and integrating into cloud systems, as well as theoretical concepts.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
One or more vertical application areas relating to the Internet of Things (IoT), such as smart cities, transport or health is studied in depth. The interplay between different physical systems and resultant ICT systems is examined from architectural, implementation and security aspects. Students will learn how to integrate cloud, IoT and Big Data technologies, then design an IoT/Cloud system meeting a variety of functional and non-functional requirements.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit is designed to explore current trends and potential future changes in technology, with a particular focus on Cloud Computing and the Internet of Things (IoT). A selection of technologies will be investigated and reviewed, along with the reasons for their emergence, their potential to transform the current technology market and implications for society.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit focuses on governance issues associated with Cloud Computing and Internet of Things (IoT) Systems. Cloud Computing and IoT systems are driving the digital transformation of all industries, however they also bring new security and privacy threats due to new technology applications. This unit thoroughly explores current Cloud and IoT security and privacy strategies, and legal issues.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit builds on knowledge gained in previous Internet of Things (IoT) units and focuses on IoT security and IoT frameworks. Appropriate programming and networking models will be examined from a theoretical and practical viewpoint, and governance issues also examined to provide a context in which IoT systems must operate.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit introduces students to fundamental data structures including linked-lists, trees, binary search trees, Adelson-Velsky and Landis (AVL), trees, stacks, queues, priority queues, hash-tables, and fundamental abstract data types including maps, sets and vectors. This fundamental knowledge on data structures is extended in the unit to the design of algorithms through implementing abstract data types to device novel solutions using recursion and non-recursion, with varying algorithmic complexity.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit is designed to introduce students to many of the technical and practical issues regarding the use of the Web and Web technologies. The issues of accessibility, usability, and design will be explored and will also introduce the techniques of creating static and dynamic web content using HTML, style sheets, client side and server side scripting languages and databases. The unit focuses on developing the skills required for web programming with mark-up and scripting languages, such as building quality web pages, designing and maintaining a website. It introduces the concepts and technologies of the Web, the Internet, data networks, addresses, how to use basic web programming tools, and discusses the potential future of Web/Internet applications.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
A significant number of modern applications use concurrent and distributed systems techniques. Communication between processes both local and remote is substantially more complex and subtle than single-threaded applications. There are similarities but also differences between a concurrent system on a single host and distributed systems across multiple hosts. This unit discusses the theoretical and practical aspects of these styles and includes more advanced design patterns and their implementation.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
Software engineering is defined as a process of analysing user requirements and then designing, building and testing software applications to satisfy those requirements. This unit considers a medium-sized software project and analyses it from a design and implementation perspective. Strong and weak points are identified and techniques to remove flaws. The project will then be reworked to satisfy functional and non-functional constraints.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit introduces the students to emerging technologies in software engineering, and with a focus on blockchain technology, equips them with the knowledge needed for building applications by offering an architectural view of software systems that make beneficial use of it. Topics covered will include architecture of blockchain systems, assessing the suitability of blockchain for particular applications, the roles blockchain can play in an architecture and on assessing different architecture designs and trade-offs. The unit will also serve as a reference for students on blockchain design patterns and design analysis, and refers to practical examples of blockchain based applications.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit introduces the advanced software engineering concepts and technologies, such as Agile software development and DevOps technologies. The focus of the unit is on the DevOps philosophy, workflow, monitoring methods and tools, as well as on the recent development in cloud based services and applications development, deployment and operations based on the best industry practices. Students have the opportunity to apply these concepts to automate development, test, and release practices, and have an opportunity to work on different projects and function as small Agile software development teams using Agile Scrum model (Kanban or Kaizen). DevOps and cloud automations tools, such as Chef, Puppet, Ansible, and/or SlipStream will be used.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit will introduce the theoretical concepts, practical approaches and tools that support the security concerns in the whole systems development lifecycle, resulting in software that is secure by default due to sound design practices. A wide range of software security topics will be covered, ranging from the need for secure coding, security as a cross-cutting concern, methodological approaches to improving software security during different phases of the software development lifecycle, integrating secure software development principles and patterns into software development processes, and also, contemporary paradigms of secure continuous software engineering, DevSecOps.
Subject contact hours (per week):
1x2hr lecture; 1x2hr practical/tutorial
This unit is provides a work integrated learning (WIL) experience in an ICT setting to enrich the student learning experience and also add value to the organisation. The ICT industry, including the professional bodies and the employers, recognise the advantage of gaining real world practical experience in ICT related areas before entering the profession. Students can use this WIL internship opportunity to actively apply the theories and concepts learned to provide solutions to the various ICT challenges presented in real world settings. This experience will enable the student to reflect on their learning in the chosen field of major, as well as develop their professional and personal skills. Students will be supervised by an industry professional and an academic supervisor. The internship must be negotiated with and approved by the Academic Course Manager.
Applicant background | Semester one / Full year intake - 2023 | |
Number of students |
% of all students | |
(A) Higher education study (includes a bridging or enabling course) |
0 |
0% |
(B) Vocational education and training (VET) study |
<5 |
NP |
(C) Work and life experience (admitted on the basis of previous achievement not in the other three categories) |
0 |
0% |
(D) Recent secondary education: Admitted solely on the basis of ATAR (regardless of whether this includes the consideration of adjustment factors such as equity or subject bonus points) |
NA |
NA |
Admitted where both ATAR and additional criteria were considered (e.g. portfolio, audition, extra test, early offer conditional on minimum ATAR) | NA | NA |
Admitted on the basis of other criteria only and ATAR was not a factor (e.g. special consideration, audition alone, schools recommendation scheme with no minimum ATAR requirement) | 0 | 0% |
International students |
7 |
88% |
All students |
8 |
100% |
Notes:
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