Master of Information Technology

The subject aims to describe, demonstrate and associate design, implementation, and management phases of DevOps deployment pipelines and toolchains that establish connections with continuous integration, delivery, testing and deployment. Core areas include organisations responding to market changes, reduction of risks and lowering of costs while releasing quality solutions. Understanding of quality performance prioritisation in a DevOps pipeline for various employee teams to effectively focus on vision is covered. Execution pipelines are discussed along with the processes, metrics, APls and cultural considerations for Continuous Development.

Assessment Tasks: Report, DevOps Development Project

Delivery Mode: On Campus, Online

The purpose of this subject is to provide a solid mathematical background that students will encounter in studies of Artificial Intelligence, specifically in sub-areas such as machine learning, natural language processing, speech recognition, and computer vision. This subject will cover topics on linear algebra (equations, functions and graphs), differentiation and optimisation, vectors and matrices, statistics and probabilities. Thorough understanding of these mathematical concepts is necessary for understanding the inner workings of the algorithms in Artificial Intelligence.

Assessment Tasks: Online test, report, Source Code

Delivery Mode: On Campus, Online

This subject introduces you to the foundations of business. It is focused on providing fundamental business concepts and contexts to enrich your mastery in subsequent studies, while developing as reflective practitioners. You will examine the functional operations of businesses, projects and the internal and external environments in which they operate. This includes analysis of economic, social, political, legal, cultural, technological, environmental and ethical influences on contemporary businesses. You will also explore the viewpoints and influences of internal and external stakeholders.

Assessment Tasks: Reflection, Report, Video Presentation

Delivery Mode: On Campus, Online

This subject introduces you to the concepts of business communications and transferrable academic skills. This subject presents an analysis of the types of communication processes expected in industry, which occur in the internal and external business environment, including an examination of the theoretical underpinnings of communication in business. Emphasis is placed on writing skills, reports and presentations and on using technology to communicate. The subject introduces you to research skills, information literacy, critical analysis, writing and language techniques. You will complete this subject with a strong understanding of the importance and value of academic integrity.

Assessment Tasks: Discussions Forum, Annotated Bibliography, Video Presentation

Delivery Mode: On Campus, Online

This subject will introduce you to database fundamentals. You will learn about creating, storing, and managing data in an organisational context. You will explore relational database design and modelling techniques. Including how to resolve data anomalies and the process of data management. Key topic areas covered in this subject are normalisation, SQL and emerging trends in database technology.

Assessment Tasks: Modelling Report, Database implementation, Report

Delivery Mode: On Campus, Online

Cybersecurity is everyone’s responsibility. Information systems play a critical role in storing, processing, and retrieving data, and they serve as vital assets for various economic sectors. Interconnectivity is important for many organisations, but this also increases the exposure to adverse events, necessitating the need for thorough information security management. This subject builds upon foundational information security principles, encompassing the management of information systems that significantly impact organizational information security. This includes areas such as identity management, authentication, access control, monitoring, risk management, incident response, and disaster recovery. Possessing the essential knowledge to prevent attacks, mitigate risks, and employing the latest best practices available in cybersecurity and its management is a fundamental component to thrive in today’s digital landscape.

Assessment Tasks: Test, report, Presentation

Delivery Mode: On Campus, Online

In this subject students learn techniques and best practices in collecting, storing, cleaning, manipulating, analysing, extracting, and visualising useful information from large, structured, semi-structured, or unstructured data sets, which are useful for crucial organisation decisions. Students will also learn applications of big data analytics across industry sectors such as segmentation and prediction, churn prediction, recommender systems and targeted marketing, sentiment analysis, operational analytics, and Big Data for social good.

Pre-requisite: CCF501 Cloud Computing Fundamental

Assessment Tasks: Report, Presentation, Source Code

Delivery Mode: On Campus, Online

This subject provides an in-depth understanding of distributed application and systems development by training learners to aggregate resources of networked computers to construct highly versatile and scalable services. The topics cover how to implement thread pools that leverage lightweight concurrency primitives, harness concepts of distributed algorithms and discuss the role of overlays in content dissemination. Case studies of distributed systems are also covered in detail. Finally, learners design efficient data representation formats for communication between distributed components.

Pre-requisite: CCF501 Cloud Computing Fundamental

Assessment Tasks: Online Test, Report, Source Code

Delivery Mode: On Campus, Online

This subject develops conceptual and practical knowledge and skills in experience design for digital products and services. Students will use common experience design methods and tools to analyse user needs. Students will work through the design process to improve and refine the user experience in relation to the requirements of a specific client brief. Throughout this subject students will develop their knowledge and skillset to design usable and user-centred experiences.

Assessment Tasks: Report, Design Prototype, Journal

Delivery Mode: On Campus, Online

This subject introduces the basics of deep learning and how to build neural networks. Students are presented with different methods and applications to different AI sub-areas such as natural language processing, speech recognition, and computer vision. The subject begins with the introduction of simple neural networks such as multi-layer perceptron, and to more complicated concepts such as recurrent neural networks, convolutional networks, and long short-term networks.

Pre-requisite: MFA501 Mathematical Foundations

Assessment Tasks: Report, Presentation, Source Code

Delivery Mode: On Campus, Online

This subject introduces you to how organisational behaviour, politics, dynamics and environments impact on the role and legitimacy of management. Constraints that managers and emerging leaders face in developing strategies to leverage advantages and overcome barriers in organisations and projects will be explored. You will identify, analyse and make effective decisions to resolve people-related issues, lead and manage change, facilitate employee development, performance and sustain effective teams in complex and diverse global operating environments

Assessment Tasks: Critical Discussion, Presentation, Report, Team Performance Evaluation

Delivery Mode: On Campus, Online

Progressing from traditional project management frameworks, this subject focuses on Agile project management, agile project management methodology, the principles of agile, and agile techniques. This subject will be based on a foundation of the four core values and 12 guiding principles of agile as laid out by the agile manifesto. Students will develop an understanding of agile concepts, tools and techniques: Scrum and Kanban, Roadmap planning, Program increments, Sprints and daily scrums and the agile roles within teams. Some of the leading agile frameworks will be discussed so that students will gain an understanding of some of the different schools of thought, which support the agile continuous delivery pipeline. Points of origin in Lean practice and the relationship between agile and DevOps will also be covered to help students orient themselves in the broader emerging landscape of projects and software development landscape.

Pre-requisite: PROJ6000 Principles of Project Management

Assessment Tasks: Report, Presentation

Delivery Mode: On Campus, Online

The subject introduces you to the core concepts, processes, and tools you need for a data analytics role or even to strengthen your current role as a data-driven decision maker. It will equip you with an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering, cleansing, analysis, and data visualization. You will apply advanced analytics and data management techniques to develop a data solution.

This subject presents organisational data management, focusing on data analysis, data visualisation and the tools used in industry. Deriving insights from data and communicating findings has become an increasingly important part of virtually every profession. This subject prepares you for this data-driven transformation by teaching you the core principles of data analysis and visualization and by giving you the tools and hands-on exercises to communicate the results of your data discoveries effectively.

Pre-requisite: MIS605 Systems Analysis and Design MIS602 Data Modelling and Database Design

Assessment Tasks: Presentation, Report

Delivery Mode: On Campus, Online

This subject is designed to provide a graduate-level student an in-depth understanding of the methodologies, technologies, and algorithms currently used in machine learning. Students will be introduced to the theory behind a range of machine learning tools and practice applying the tools to different applications. It explores topics such as classification, linear models, supervised and unsupervised learning in conjunction with applied and theoretical machine learning concepts. Students complete practical activities using machine learning algorithms and methods.

Pre-requisite: MFA501 Mathematical Foundations of AI

Assessment Tasks: Notebook with mark-up, presentation, model selection

Delivery Mode: On Campus, Online