Bachelor of Information Technology

Ethical practice, teamwork and professional communication skills are the key concepts that students will explore and apply in IT Professional Practice. Industry focused learning activities and assessment tasks allow students to examine authentic case studies to identify compliance issues that compromise the safeguarding of IT governance. Working with peers, students will practice interpersonal and problem-solving skills as they collaboratively design and develop an IT solution. The learning journey concludes with students presenting their final solution, demonstrating the ability to professionally articulate their ideas to an audience.

Assessment Tasks: Report, journal, presentation

Delivery Mode: On Campus, Online

This subject provides students with introductory knowledge of data, life cycle of data science, ecosystem of data science, data scientist tools and relevant industry scenarios. In addition to students being introduced to the ideas behind turning data into information, they will also be introduced to the data scientist's toolbox that includes basic statistical knowledge and fundamentals of Python programming language. Key topics include data scientist skills and responsibilities in a business setting such as planning, performing and presenting insights, data manipulation tools and techniques, and data science codes of ethics.

Assessment Tasks: Essay, report, programming project

Delivery Mode: On Campus, Online

In Cloud Architecture, students will explore and examine the interwoven elements of cloud computing architecture that comprises hardware, software, and networking. Building upon their database and networking design skills, students will apply their knowledge on the design, construction, and testing of cloud architecture, with explicit consideration of relevant governance, cybersecurity, and ICT service requirements. Through collaborative project based learning, students will construct and present schematics and simulated prototypes to communicate IT solutions which are scalable, efficient, dependable and cost effective.

Pre-requisite: NDS203 Network and Database System and ICC104 Introduction to Cloud Computing

Assessment Tasks: Report, prototype

Delivery Mode: On Campus, Online

This subject is designed to provide students with professional experience in an area related to their specialisation. The aim of providing industry-specific opportunities is to enable students to develop skills that will enhance their prospects of gaining meaningful employment and building their career for the future. Much of the benefit of work integrated learning comes from observation, practicing under supervision and reflection. Work Integrated Learning is an excellent way to broaden the students learning environment while they are studying. It allows them to see first-hand how what they are learning in their degree translates into practice, as well as how ‘real world’ practice relates to what they are learning at University.

This subject will develop work ready skills and boost students’ employability while they are studying.

There are two work integrated learning options available to students:

Option 1: Industry Placement 
Students are offered the opportunity to work within a technology company as an intern or volunteer at a technology non-profit organisation. It encourages students to build long-term relationships with the tech industry and provides an opportunity for them to work with and learn from people who may end up becoming colleagues, bosses or mentors. It also provides a context in which to enhance their communication skills and work collaboratively in a professional arena. Students will undertake a series of industry-led tasks that are relevant to their field of study in order to understand the key concepts of working in and managing a professional technology team with emphasis placed on the operation of the environment.

Option 2: Industry Live Brief 
This subject requires students to respond to criteria set within the context of an Industry Live Project. An understanding of research methodologies appropriate to professional practice and the documentation of personal creative investigation will be explored. Students will also further investigate and examine entrepreneurial and commercial opportunities through collaborative work practice. The subject is delivered from a cross specialisation perspective and draws on both specialised and common software engineering practices.

Students are required to work both independently and as part of a collaborative team in order to conduct research, analyse and define project parameters and deliver innovative solutions that expand the notion of an industry live brief.

This subject will show you how to be ethical and create sustainable business ecosystems. You will learn the most common practices associated with environmental ethics, evolving to sustainability ethics. The link between corporate social responsibility and corporate governance will also be covered. You will explore how organisations acknowledge the impact of their activities in economic, ethics, social and environmental terms. Important issues, including why organisations around the world are increasingly moving to reduce the adverse effects of business operations on their stakeholders and local communities will be examined.  Through completion of this subject, you will acquire a set of tools for managing and leading organisations more ethically and sustainably.

Assessment Tasks: Report

Delivery Mode: On Campus, Online

This subject introduces students to the statistical models for regression and classification necessary for more specialised subjects in this degree. The main topics covered are Classification Algorithms and Regression Algorithms; the practical use of both methods, how to evaluate the proposed models and how to choose between the different available methods.

Theoretical lectures about the main concepts to be studied are followed by demonstrations of the different applications. Then the students are asked to apply the learned concepts on different classification and regression problems.

In this subject you will learn about how to take an idea and create it into something that is a potential business opportunity. That opportunity could be a new product, service, process or operational improvement, to name a few. You will assess, research, develop and create a proposed opportunity. From there, you will construct a venture ready business plan and presentation pitch that you could send to a potential investor.

Assessment Tasks: Report, Group Venture Plan, Presentation

Delivery Mode: On Campus, Online, Intensive 

Social Enterprise is an exciting theoretically-based subject that is driven by the desire to create positive change through entrepreneurial activities. These activities harness design thinking and problem-solving processes in the realisation of pragmatic, viable project proposals from initiation to client presentation. By providing students with a framework to understand business model generation and the skills to source, evaluate, and measure opportunities through systematic research and competitor analysis, Social Enterprise empowers students to conceptualise, develop and propose new ventures and products that focus primarily upon social change for good. In addition, this subject will help students understand and address the practical challenges of working within this environment; to analyse different entrepreneurial business strategies, to explore diverse funding strategies, as well as incorporate theoretical discussions on major trends and issues in the social economy. Social Enterprise enables students to appreciate the power of creativity in problem-solving and the importance of the designer’s role in making a difference and precipitating change.

Assessment Tasks: Report, Presentation

Delivery Mode: On Campus, Online, Intensive

AIP201 introduces students to the fields of Physics & Artificial Intelligence (AI) within the context of software development for digital games. Students will learn to build simple physics & artificial intelligence systems for games. These systems will extend the students’ knowledge in software engineering process skills, modelling techniques and validation by applying these concepts to games physics & AI development.

AIP201 will explore modern techniques and theory for making efficient interactive agents and intelligent systems by exploring the concepts of game theory, path-finding, state driven design and autonomous decision making. Students will also understand the application of Newtonian mechanics in game engines through the use of physics programming, middleware and mathematics.

Cybersecurity Principles lays the foundation for students to apply their software and networking knowledge in order to identify the impact of security threats on contemporary business environments. Fundamentals of cybersecurity will be explored such as cybersecurity attack vectors, available security measures, and risk management best practice. Within a professional IT context, students will present a cybersecurity proposal to address potential threats that impact business outcomes and sustainability.

Assessment Tasks: Report, video demonstration

Delivery Mode: On Campus, Online