The unit introduces modern programming concepts and techniques that are required to implement software programs in a variety of application areas. The unit covers the basic theory of creating algorithms and program design in object-oriented programming paradigm. Students will gain practical skills to develop general software programs which form essential building blocks for a variety of application environments such as Web and desktop applications.

This unit will prepare you over time to adapt your knowledge and understanding to ensure sound theoretical understanding of the issues and changing demands relevant to software development. Fundamentals will be presented in a form that will enable you to keep pace with the speed of programming methodology/language changes that are experienced in this rapidly changing field.

The unit covers the underlying theory and basic concepts of relational data modelling, query languages and database design. You will develop the knowledge and skills necessary for the effective design and implementation of database systems that satisfy the data management requirements of an enterprise. The unit will also address the various issues and techniques of data management, including retrieval, update, integrity, privacy and security aspects associated with data access, manipulation and administration.

This unit will help you develop a sound theoretical understanding of the issues relevant to database fundamentals. Unification of multiple data sources is central to the ‘big data’ paradigm likely to dominate design over the coming decades. You will be prepared to critically evaluate and understand database issues as they arise in practice over the coming years. This unit provides the foundation for such understanding.

The unit provides a theoretical introduction to the professional and ethical practices in a typical IT workplace of today. In particular, the unit emphasises organisational and professional communication and teamwork, ensuring that the personal information of stakeholders is handled in a confidential and professional manner when dealing with stakeholders in an IT environment. It also covers a range of issues related to health and safety requirements in the IT workplace, maintaining professionalism as well as software copyright requirements and licencing.

You will be prepared to adapt your knowledge and understanding over time to ensure sound understanding of the issues relevant to IT professional practice. As IT becomes more and more central to organisational operations, the need to maintain ethical and professional practice becomes increasingly paramount. This unit ensures a fundamental understanding of the issues and theories that drive Ethics, Data Privacy and Security in professional practice.

The unit covers the fundamental concepts of network architecture and network technologies. It includes internetworking protocols, operational tools, and techniques for network management. The unit provides the in-depth knowledge and skills that are required to implement defined network architecture that factors various types of networks, inter-networking, and network security.

Implementation of appropriate network architectures is now crucial for the full exploitation of IT infrastructure within competitive environments. This unit is designed to ensure you have the fundamental knowledge to adapt and innovate within this context and be prepared for specialised units of the course. Through undertaking this unit, you will broaden your knowledge and understanding of the issues relevant to network architecture.

You will be prepared to demonstrate writing of effective business communication artefacts such as letters, memos, proposals, formal and informal reports, work plans, and progress reports. You will be able to use the knowledge and skills imparted in this unit to your IT work situations resulting in better-quality software documentation/operation manuals, improved interpersonal communications with peers and customers.

This unit focuses on providing you with basics of software systems modelling and design principles and methodologies to formalise all aspects of systems development processes. It will develop your ability to apply contemporary tools and techniques that are effectively used at various stages of software systems development lifecycle.

You will be prepared to adapt your knowledge and understanding over time to ensure sound theoretical understanding of the issues relevant to systems analysis and design. Being a second-year level unit, increased emphasis is placed on critical analysis and interpretation skills. In the context of systems analysis and design, this includes consideration of the pros and cons of various techniques, considered through contemporary research in published articles.

The unit presents an integrated approach covering systems and processes for managing IT projects within various industry sectors. It covers the IT project management life cycle, problem definition, project planning, project scheduling and estimation, project monitoring and controlling including earned value management techniques, risk management, project issues and project closing. You will also be able to apply conceptual methodologies using techniques such as networking, resource planning and control, team coordination, time and budget estimation using estimation models, project monitoring via earned value management tools including a range of management strategies.

You will be prepared over time to adapt your knowledge and understanding to ensure sound theoretical understanding of the issues relevant to IT project management. Due reference will be made to the PMBOK (Project Management Body of Knowledge) to facilitate your fundamental understanding of project management principles and theory.

The unit teaches the use of discrete structures, their properties, and applications in the field of information technologies. The unit also exposes you to the basic procedures and styles of mathematical proofs related to computational machines. The unit teaches a range of computational mathematics topics such as logic, number system, set theory, methods of proof, predicate calculus, induction, trees, and graph theory.

You learn techniques to think and analyse computational requirements “logically”, and to apply these techniques in solving problems. You will be able to reason “mathematically” about data types and structures (such as numbers, sets, graphs, and trees) used in algorithms and to synthesize elementary proofs, especially proofs by induction.

The unit is designed to give final year students the opportunity to apply knowledge and skills which they have gained throughout the course. This unit is the first of two project units in the course, and it focuses more on analysis and design, while the second unit focuses on implementation aspects. The project provides a real-world IT problem, and each member of the project team will play a role substantially related to your chosen specialisation in the course. You will be required to design a technology solution for the identified problem. You will showcase your abilities in project management and demonstrate the use of structured methodology in IT projects.

You will work in groups to produce individual quality outputs including a comprehensive report, presentation and in some cases a solution prototype. Your team will extend the project in ITSU3009 Project 2 with detailed technical implementation or investigation. In addition to technical skills, you will also gain other important skills including project management, professional practice, teamwork, and effective communication.

The unit is designed to give final-year students the opportunity to apply knowledge and skills which they have learned throughout the course. This unit is the second of two project units in the course where the first unit focuses more on analysis and design while the second unit focuses on implementation aspects. The project provides a real-world IT problem, and each member of the project team will play a role substantially related to your chosen specialisation in the course. You will form a group to work together and provide a feasible solution to the client. Project teams are responsible for their own project management with guidance from the project supervisor.

You will gain skills of technical design and implementation, innovative use of new technologies in IT, writing technical documentation, teamwork, time management, professional ethics, and effective communication to produce quality outputs meeting the client requirements.

The unit is designed for undergraduate level students to enhance their scholarship through research-based study on a topic in information technology. The unit develops the core essentials of understanding the research process, research methodologies and research methods directed towards technical research, covering key elements such as the literature survey, defining research question, experimental design, etc.

You will gain a fundamental experience in doing some preliminary research work and will be able to apply the best practices introduced in the unit to further your research in IT area.

The unit is designed to give final year students the opportunity to apply knowledge and skills which they have gained throughout the course. This unit is the first of two project units in the course, and it focuses more on analysis and design, while the second unit focuses on implementation aspects. The project provides a real-world IT problem, and each member of the project team will play a role substantially related to your chosen specialisation in the course. You will be required to work in an industry workplace and design a technology solution for the client. You will showcase your abilities in project management and demonstrate the use of structured methodology in IT projects.

You will work in groups to produce individual quality outputs including a comprehensive report, presentation and in some cases a solution prototype. Your team will extend the project in ITSU3019 Professional Project 2 with detailed technical implementation or investigation. In addition to technical skills, you will also gain other important skills including project management, professional practice, teamwork, and effective communication.

The unit is designed to give final-year students the opportunity to apply knowledge and skills which they have learned throughout the course. This unit is the second of two project units in the course where the first unit focuses more on analysis and design while the second unit focuses on implementation aspects. The project provides a real-world IT problem, and each member of the project team will play a role substantially related to your chosen specialisation in the course. You will from a group to work together in an industry workplace and provide a feasible solution to the client. Project teams are responsible for their own project management with guidance from the project supervisor.

You will gain skills of technical design and implementation, innovative use of new technologies in IT, writing technical documentation, teamwork, time management, professional ethics, and effective communication to produce quality outputs meeting the client requirements.

This unit covers the core concepts of data science and data driven decision making processes. The unit introduces a comprehensive range of methods which include developing a data model, data pre-processing, dimensionality reduction, probability techniques, descriptive and inferential statistics, and regression analysis. It further discusses effective ways of presenting visualisations and reports to the management, clients or investors and how useful insights can be derived from these sources. Through a series of case examples, the unit equips you to perform data analysis, apply appropriate methods and derive useful insights to help businesses make informed decisions.

On completing the unit, you will be able to use data science tools and techniques in a real-world context and will be capable of deriving useful insights through data analysis and visualisation. You will be able to research into emerging techniques and models over time and adopt these new techniques for data analysis and decision making.

This unit provides a concise introduction to the field of Artificial Intelligence (AI). Key topics such as knowledge representation, logic, reasoning and learning algorithms are introduced with relevant practical examples. The unit discusses the types of environments and types of agent representations. The unit makes application-oriented discussions on reasoning and learning systems that will enable students to develop intelligent agents that find application in areas such as games development, expert systems natural language processing and pattern recognition.

You will be prepared to adapt your knowledge and understanding over time to ensure sound theoretical understanding of the issues relevant to artificial Intelligence. Being a second-year level unit, increased emphasis is placed on critical analysis and interpretation skills. As artificial intelligence is an emerging topic, within this degree program, you are required to understand principles and applications in the context of the latest published models.

There is an increasing demand in industry for the use of IT in analytics and data science due to the availability of large amounts of data and its effectiveness in predicting future trends for making informed decisions. This unit imparts hands on skills using selected sets of tools (e.g., spreadsheets, special programming languages and statistical toolkits) through coding exercises, case studies and projects in analytics. The unit also covers Business Intelligence (BI) and visualisation tools and discusses software libraries that are used in Machine Learning (ML) and Artificial Intelligence (AI) software.

Upon completion of this unit, you will gain expertise in employing popular analytics software and IT tools to domains such as data and business analytics to enhance the business decision making process. The selection of tools can vary depending on the current technical landscape and market trends.

This unit provides an in-depth understanding of Machine Learning (ML) and will enable you to gain an intuitive understanding of the concepts and tools for building intelligent systems. The unit will help you to create and implement ML models using tasks such as linear regression. The unit teaches optimising techniques in Machine Learning built to tune key parameters and improve the accuracy of output. The unit covers stages of feature engineering, data point identification, design of classifier, use of regression models and neural network enhancements relevant to the nature of problems.

By mastering the theories and concepts delivered in this unit, you will be competent in adopting and applying ML algorithms such as regressions, support vector machines, artificial neural networks, and classifiers to real world case examples. Being a third-year unit, you will be equipped to research recent trends such as deep learning and ML-as-a-Service, along with other emerging techniques.

The unit provides a comprehensive coverage on the theories, principles and practices of Big Data with specific emphasis on processing big data sets. Key concepts related to Big Data including ingestion, storing, processing and analysing information from large volume of data. The unit covers Big Data key characteristics, forms of data and importance of metadata and processing techniques in RDBMS and NoSQL. In addition, this unit prepares you comprehensively on Big Data engineering through a variety of case studies on Big Data analysis techniques.

By covering major topics and trends in big data processing you acquire the skills that will equip you to handle abundant, rich, and complex data. You will be able to build solutions involving big data in a variety of business contexts using the data pipeline processing techniques you learnt and adopt your knowledge and skills to perform Data Mining, ETL operations, Statistical Analysis, and Visual analysis in real world contexts.

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 6.0 and no individual band less than 5.5
• Academic PTE: 50 or above with no communicative skill below 43
• TOEFL (iBT): 65 or above; Writing 15; Speaking 15; Reading 15; Listening 15
• TOEFL (Paper): 547
• 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 6.0 overall and no band less than 5.5)
• 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.

• Minimum of equivalent Australian Year 12 completed satisfactorily
• In the case of a non-Australian qualification, the Admissions team shall ensure that the applicant has completed 12 years of schooling or has attained a qualification which is equivalent to an Australian Year 12 certification as per the VIT’s International Academic Requirements. AND/OR
• Where an applicant has completed a Diploma (AQF Level 5) or a higher qualification he/she shall be deemed to have met the year 12 requirements.
• An international applicant who has not met VIT’s International Academic Requirements, may apply for special consideration by the Admission Selection Committee (adhoc) on a caseby-case basis.

• Studied mathematics at Australian Year 11 or higher
• In the case of international students, the Admissions team/ shall determine whether the mathematics subject/s that the applicant has studied are equivalent to Australian Year 11 using the following guidelines:
• Where an applicant has studied mathematics at Year 11/12 of a twelve-year schooling system, he/she shall be deemed to meet the equivalence.
• Where an applicant has completed a Diploma or a higher qualification in Information Technology or related course, he/she shall be deemed to meet the equivalence
• Where the applicant has not studied mathematics at secondary school level or Diploma or a higher qualification or where adequate documentary evidence is not available, The Admissions Selection Committee (Adhoc) may recommend admission subject to the condition that:
  • The applicant should pass the SAT Mathematics 1, OR
  • The applicant should pass a mathematics test administered by VIT, OR
  • The applicant should successfully complete the ITSU1012 Mathematics Foundations for IT unit during the first year of the BITS course