This unit covers core concepts of object-oriented (OO) programming including programming paradigms, abstraction, encapsulation, specialisation, aggregation, polymorphism, exception handling, and data structures. In addition to programming skills, you will also acquire basic knowledge in designing, testing, and debugging a simple software system. The unit emphasises professional style of coding including fail-safe, efficient programs that adhere to industry and organisational standards such as unambiguous naming conventions, exception management and audit logging. The unit discusses the syntactic, structural, and behavioural typing of OO systems.

You will gain basic competence to reflect upon various programming models, independently assess the strengths and weaknesses of OO programming, and apply these in various software development contexts. You will be able to compare concepts and evaluate OO design paradigms. You will also be able to implement these concepts in a suitable OO language including Java or Python.

This unit covers in-depth knowledge and concepts for database models, systems and languages. You will explore and practise data modelling, data structure design and Structured Query Language (SQL) used in relational database. The unit also covers the functions of the database management systems (DBMS) and related administrative activities. Systematic methodology for relational database design using entity relationship diagrams and normalisation of data is covered in detail. You will be introduced to a subset of SQL using a selected database platform.

You will learn to synthesise enterprise data requirements and craft entity relationship diagrams. You will also model the physical data structure and normalise the relationship based on the application’s functional dependency needs. In addition, you will gain competence to perform complex data retrieval and carry out advanced data manipulation using SQL. Further, you will be able to implement the concepts of data security and privacy in a database.

This unit covers fundamental knowledge in data communications and network technology. It introduces various networking and communication media and provides an in-depth understanding of multiple techniques for reliable and efficient data communication. The unit covers the major transmission systems and networks together with the equipment, models and tools used to interconnect them. The unit also explores the internet protocol suite (TCP/IP), protocol standards, local area networks (LANs), wide area networks (WAN), internet, intranet, networking applications and several internet technologies. You will also gain the knowledge and skills to recommend appropriate network management and network security solutions for a given application or a given organisation’s requirements.

This unit covers fundamental IT project management techniques for managing medium- to large-scale IT projects such as enterprise software solutions projects, IT infrastructure implementation projects, and IT outsourcing projects. In this unit, you will examine the fundamental principles, strategies and approaches used by project managers. The unit will introduce you to the stages of project management from project inception through to final closure. Topics covered include scope management, time management, stakeholder management, quality management, costing, integration, resource management, communication, procurement processes and risk management. In addition to traditional project management process such as Waterfall, this unit will also touch on other methodologies including Agile by Scrum and Kanban.

In this unit, you will be able to identify and synthesise project parameters and plan and apply IT project management framework, processes, and knowledge to manage IT projects. You will also learn how to independently evaluate and employ appropriate tools and techniques necessary for project estimation, work breakdown structures, precedence analysis, scheduling, critical-path analysis, earned value management and cost-benefit analysis.

This unit covers the concepts and methodologies required to design and develop software applications. It discusses the key aspects of the software development life cycle including requirement, design and testing. It explores the concepts of software control management and software project management. This unit delves into the process of both object-oriented analysis and design using Unified Modelling Language (UML) as the notation language.

In this unit you will use good software engineering practices to design code including unit testing. You will also apply, monitor and evaluate various software engineering methodologies to situations described in various case studies. You will have opportunities to examine and evaluate recent software methodologies proposed by industry and academic experts in the field.

This unit examines the key domains, concepts and technologies of data science with an aim to equip you with knowledge, skills and capabilities to acquire and process large datasets and draw insights from them. It encompasses the essential statistical concepts, theories and techniques for descriptive analysis, inferential analysis, regression, hypothesis testing and significance evaluation that are most often applied in the real world. This unit also involves using tools, methods and techniques that are needed in the processes of data acquisition, data wrangling, data mining and data modelling together with necessary coding using a popular programming language. After completing this unit, you will be able to apply statistical, analytical and technical skills to solve real-world problems and satisfy professional queries. In addition, you will also be able to provide appropriate interpretations, insights and recommendations for stakeholders at high levels. You will also experience managing a data science project and collaborating with other students.

This unit covers the key concepts involved in identifying and investigating major IT security technologies, issues, and approaches relevant to contemporary organisations and communities. You will also learn about cryptography, network security, software security and IT security management. Using case studies, the unit examines and evaluates how to apply the most appropriate security solution to maintain confidentiality, integrity and availability.

This unit provides you with an understanding of vulnerabilities, and of how to identify and mitigate threats. You will have opportunities to chart out the authentication, access control and auditing needs of an organisation in order to establish plans for risk management. You will learn about selected security technologies as well as how to identify and implement security measures. You will evaluate, compare and contrast various security models with the aim to develop strategies and implement changes in the dynamically mutating area of security threats.

This unit provides you with an in-depth understanding of intelligent business systems that can represent, reason about, and interpret data. You will learn about contemporary business systems that go beyond traditional data processing by incorporating intelligent features such as: algorithms for learning about the structure of data, analysing data to extract patterns and meaning, generating new information, and suggesting strategies to act on analysis findings. This unit helps you to better understand the principles of developing business intelligence systems that deal with problems related to data analytics.

On the completion of this unit, you will be able to independently apply concepts and synthesise ideas from the fields of knowledge engineering, intelligence algorithms, decision making, mining, and warehousing. In order to create various interdisciplinary connections, you will undertake research in some cutting-edge topics from a broad range of related fields, such as linguistics and data sciences.

In this unit, you will develop an application to fulfill a critical analysis need of a business. The application is typically an analytical dashboard to visualise important patterns, trends and forecasts which would otherwise be hardly seen. The issues for analysis are wide-ranging but strategic and value-laden to suit the needs of a wide range of stakeholders. In this unit you will gain knowledge, skills and capabilities to complete a data science project requiring analysis, developments, applications, evaluations and other processes to solve real-life problems in industries.

You will experience a problem-focused and project-based learning journey towards creating an analytical dashboard with comprehensive and well-balanced solutions. You will be exposed to automation of data feed and ETL (Extract, Transform, Load) processes to replenish dashboards in real time. The project will be initiated by you based on your access to an industry’s data but should also be backed up by your extensive research of the related issues, approaches, methodologies, and findings in the field of interest. In case you do not have access to an organisation’s data, you will be provided with a sample dataset by the lecturer.

To achieve the learning outcomes, you are required to apply project management skills, communicate and collaborate with others, and complete the project within the given timeframe using available resources. You should put your professional ethics in practice. It is also expected that you can solve the problems and accomplish the tasks in a pragmatic manner. You can use any analytics tools and programming languages (e.g., Power BI DAX, Python) according to your preference and their availabilities but ensure that they are appropriate to the given context and available data.

The rapid expansion in technologies and devices, together with the advent of social networking and the internet of things, has resulted in immense generation of data. The volume of data now goes beyond the capabilities of storage and processing within traditional databases and is formally known as ‘big data’. There is a strong need for the business world to take advantage of these large datasets as a source of innovation and new economic value.

This unit provides you with a detailed and in-depth understanding of big data solutions on a distributed computing platform (cloud hosted or otherwise). It will prepare you comprehensively for big data engineering through advanced technical knowledge of various aspects of big data such as distributed systems, distributed file systems, NoSQL technology, resilient distributed data or tuple spaces and practical training on tools related to the tuple storage, processing, loose coupling analysis and visualization. Through a variety of case studies on email spam filters, search keyword suggestions, profile matching based on numeric attributes and autocorrect facilities, you will learn how data generated from networks of interconnected systems and devices influences both our day-to-day and business activities.

On completion of the unit, you will be able to expertly apply big data solutions in a variety of business contexts. Over time, you will be able to develop and implement big data solutions using state-of-the-art data science and engineering technologies. In addition, the unit will give you the opportunity to review recent research advances in published literature and contribute by developing further models for big data solutions.

This unit covers in detail various knowledge management (KM) frameworks and strategies and their key drivers. The unit explores key elements of data, information, and tacit and factual knowledge using the socialisation, externalisation, combination, internalisation (SECI) knowledge creation model. The unit elaborates on various KM solutions and details how to appraise the suitability of these solutions. The unit provides practice-based knowledge by discussing the essential practices in developing a KM framework through industry case studies. In addition, this unit discusses various factors influencing the KM solutions.

In this unit, you will develop capabilities to practise KM techniques to meet organisational goals including performance improvement, competitive advantage, innovation, integration and continuous improvement, and learn to design a sustainable KM strategy by applying key elements of a KM framework.

In this unit you will apply a comprehensive suite of advanced knowledge, skills, methods and software to complete a business process management project to analyse, measure and evaluate processes within a complex business system and suggest strategies and measures to improve the business efficiency. You will reinforce your learning in how to identify and document business processes that you have learned in the previous foundational subject domains. In addition, you will be able to use a scientific approach, methods, techniques and tools for problematic process diagnosis and advising for optimisation of business operations in the future. You will be engaged with a real business context, critically analyse the operations and processes in the system, collect the relevant data for process analysis, apply data models, tools and procedures that are most productive towards insightful findings and effective solutions. Furthermore, you will learn how to manage a business process management project and address a wide range of associated issues such as professional ethics, organisational change and the impact of automation on society.

This unit examines enterprise resource planning (ERP) systems and supply chain business processes as currently practised. It discusses the critical components, functionalities and interrelationships of ERP systems, and explores their infrastructures and newly evolved capabilities. It also covers factors and strategies that are important for the successful implementations of ERP systems, addressing issues and problems in organisational, technological and sociocultural contexts. Contemporary topics such as cloud ERP security, ethical implications and big data analytics in relation to developing ERP systems will also be discussed. You will acquire the conceptual, theoretical and applicational competencies through completing a comprehensive case study and an ERP system development project. You will work individually and collaboratively with other students in a team to progress your professional work.

This unit explores components of the human-computer interaction and covers essential design thinking practices to enhance user experience. It provides an in-depth coverage of the methods, concepts and techniques necessary to make user experience design an integral part of developing information interfaces.

In this unit, you will learn and master the use of group ideation techniques, sketches and software tools to come up with prototypes and an interaction design model for the system under study. You will also learn how to independently define user-centric interactions, describe user interfaces, test and evaluate the defined interfaces for factors such as useability and accessibility in several practical contexts.

This unit equips you to evaluate architectural and advanced design approaches in software engineering. It also explores software quality assurance models, frameworks and standards, as well as configuration management skills. You will analyse and apply software quality and change management techniques and principles to real-life case studies. Additionally, you will learn the importance of software configuration management and how to evaluate it.

This unit covers the knowledge and skills required to design and develop enterprise systems using state-of-the-art computing principles and practices. The emphasis is on the critical analysis of their applicability to large enterprise systems using a popular development platform such as Java enterprise edition the server side. This unit will prepare you to devise novel approaches to problem solving by implementing reusable software components in real-life enterprise situations and business process perspectives.

You will be equipped to use best design principles for enterprise-grade software systems. You will evaluate and apply these principles to implement a well-engineered, web-based, component-oriented application on the chosen enterprise platform. You will also review and analyse industry white papers and practice-based research articles to understand emerging enterprise design patterns and adopt them in your projects and assignments.

This unit examines and evaluates cloud computing technologies across the various service provisioning models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) and Business Platform as a Service (BPaaS). The unit analyses and compares various cloud architectures, delivery models, deployment models, cloud enabling technologies, and the security of the cloud. You will research case studies to gain insights into how to systematically migrate traditional applications that are internally hosted into one of the chosen cloud service provisioning models.

In this unit you will gain advanced knowledge of the essential constituents of cloud computing ecosystems and the different players involved. Using the skills acquired in this unit and adopting the ideas gained through a study of emerging research, you will be equipped to evaluate the intricacies, implications, benefits and risks of moving services to the cloud paradigm and be able to prepare business cases for this kind of scenario.

This unit introduces the concepts required for the construction of software solutions using agile methodologies. You will research and evaluate the nature, categories and different software life-cycle models used in agile software engineering. The unit explores various agile aspects in phases such as requirements engineering and management. The unit will enhance your understanding of how agile engineering practices foster collaboration, feedback, and continuous improvement for producing business value.

In this unit, you will learn about and practise how to apply agile principles to customer requirements, analysis, and Scrum concepts while providing software solutions. You will analyse customer requirements using agile-based software engineering practices and body of knowledge. You will also develop analytical and critical thinking skills by applying various agile practices, agile tools and technologies, Scrum concepts and scaling agile to situations presented in various case studies.

This unit is designed for graduate level students to enhance their scholarship through research-based study in an advanced topic in information technology (IT). The unit provides the essential element of research methodology used in technical research, such as literature review, formulating a research proposal and defining a research question. Students will practise applying these elements to a research activity on a topic in an emerging area of IT.

Possible research areas include, but are not limited to, software development, business analytics, cyber security and privacy, user experience design, internet systems and infrastructure, algorithms, artificial intelligence, bio-computation, database and information systems, distributed systems/ubiquitous computing, geometric computation, graphics, architecture, knowledge representation and reasoning, machine learning, natural language and speech processing, programming languages and compilers, robotics, scientific computing, software engineering and design, and systems quality and reliability.

Students will gain in-depth experience in undertaking research and be able to apply this learning outcome to further their research in the IT area.

This unit provides an opportunity for you to apply knowledge acquired in the Master of Information and Systems (MITS) course to a sizeable real-world IT project. During the study period, you will engage in the entire process of an IT project related to your chosen specialisation in the MITS course, gaining a well-rounded experience of the end-to-end process in the specific IT specialisation.

You will carry out an IT project in a real-world environment under the supervision of VIT academic staff.

This unit provides an opportunity for you to apply knowledge acquired in the Master of Information Technology and Systems (MITS) course to a sizeable real-world IT project in an industry workplace. During the study period, you will engage in the entire process of a real-life IT industry project related to your chosen specialisation in the MITS course, gaining a well-rounded experience in the end-to-end process in the specific IT specialisation.

You will carry out an IT project in the workplace under the supervision of VIT academic staff and an industry mentor.

This unit provides you with an understanding of IT security development and enterprise security from a governance management perspective. The unit explores different models, standards, policies, and practices guiding the corporate governance of information security as well as organisational structures that manage information security. Risk assessment, control structures, contingency planning, policy development, and legal and ethical issues will also be considered as part of this unit.

At the completion of this unit, you will be able to design and implement policies, procedures and programs for cyber security governance and management. You will also develop plans for security management, risk assessment and compliance with various information security standards.

Digital forensics science addresses the recovery, investigation and preservation of digital evidence for legal actions. In this context, this unit delves into systematic techniques such as data acquisition and validation, forensic methodologies, file systems examination, graphics file investigation, network and email investigation, professionalism and ethics to detect cybercriminal activities, gather evidence and prosecute criminals.

At the completion of this unit, you will be able to apply appropriate techniques to situations involving criminal or corporate investigation or breaches in IT security. You will also develop skills in communication and forensic investigation and gain hands-on knowledge of forensic analysis of a digital storage device for evidence acquisition and preservation.

An English Language proficiency level of one of the below:

• Meet the entry requirements through one of the following English Language Tests:
• Academic IELTS band overall 6.5 and no individual band less than 6.0
• Academic PTE: 58 or above with no communicative skill below 50
• TOEFL (iBT): 79 or above; Writing 21; Speaking 18; Reading 13;Listening 13
• TOEFL (Paper): 577 + TWE 4.5
• CAE: 176 or above with no skill below 169
• A Levels with a C or better in English/English literature in the General Certificate of Education (GCE)
• Other tests as approved by Academic Board
• Passed Australian Year 12 English
• Successful completion of a degree or diploma in Australia
• Completion of Certificate IV in EAL
• Satisfactorily completed ELICOS or EAP to the appropriate level (equivalent to IELTS 6.5 overall and no band less than 6.0)
• Complete English language bridging course through a recognised English language centre
• Satisfactorily completion of at least one semester of study in Australia in a tertiary course (satisfactorily for this purpose would mean that the applicant has completed 50% or more of the semester load)
• Completion of schooling from the following countries where English is the official language: Australia, Canada, New Zealand, Singapore, United Kingdom and United States of America
• In exceptional cases, the Executive Dean or delegate, can consider an English entry requirement waiver, other than the above criteria, on a case-by-case basis as deemed fit.

• Any recognised degree is required to enter VIT’s MITS course. A recognised degree is any Australian or equivalent overseas degree at AQF level 7 or above.

• If a candidate does not hold any previous bachelor’s degree (AQF 7) or a recognised equivalent qualification from any other country, the candidate can be admitted to Graduate Certificate of Information Technology and Systems (GCITS) with at least seven years of relevant experience, and if they successfully pass the foundation units they may exit with a GCITS and/or may continue with MITS course.