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Information Technology

  • Direct entry to 2nd year bachelor degree in IT, Computer Science or Cyber Security
  • Supportive learning environment provides the best possible preparation for Deakin University

Key Information

  • Duration

    8 or 12 months

  • Intakes

    March
    July
    October

  • Location

    Jakarta, Indonesia

  • Fees

    *Tuition fees are expressed in AUD, with payment to be made in Rupiah at the prevailing rate as per Bank Indonesia (BI) regulations

    Overview

    The Diploma of Information Technology can gain you entry into the second year of a Deakin University bachelor's degree in IT, Computer Science, Artificial Intelligence or Cybersecurity. With a broad introduction to computing, you'll be perfectly placed to pursue a more specialised area during your degree studies.
    Employment and career options upon completing your Bachelor degree:
    • Computer science
    • Cybersecurity
    • Artificial intelligence
    • Application development
    • Cloud computing
    • Creative technologies
    • Game development
    • Virtual and augmented reality

    Course Structure

    To successfully complete the Diploma of Information Technology, students are required to complete and pass 8 units (1 credit point each) and 1 compulsory module (zero credit points).

    This unit explores the relationship between computer program code and the software systems that are generated from them. Students will experience developing simple software using a variety of data types, selection and repetition control structures, functions, simple text files, and console and Graphical User Interfaces (GUIs) to interact with users.

    This unit will provide a solid foundation for the design, implementation and management of database systems. Data modelling is introduced, focusing on entity-relationship (ER) modelling. The skills required to construct such ER diagrams will be explored, with a focus on ensuring that the semantics of the model match those of the real-world it is representing. The relational data model will be presented and the functionality it affords will be explored. The process of constructing, maintaining and retrieving information from the database using SQL will be a focus of this unit. Key implementation and management concepts, including transaction management and concurrency control, database backup and recovery, and security will be investigated.

    Over the past 70 years computing systems and algorithms have revolutionised nearly every facet of modern life, from healthcare to education, manufacturing to transport, and entertainment to agriculture. Computing hardware and the algorithms encoded into software are thus vital to the continued growth of modern society, as are computer scientists – the professionals who design and develop algorithms and computational solutions to many of the world’s problems. In this unit students will investigate some of the major computing system innovations over the past 70 years, to understand the role of computer scientists, computing hardware, algorithms and software as drivers of change and innovation. The unit will also look at recent developments and applications of computer science that are set to revolutionise our futures, such as digital currencies, intelligent machines, and the Internet of Things.

    Data science is an emerging field and data scientists must be able to know how to make sense of data. In SIT112, students will develop knowledge of fundamentals in data science, in particular data manipulation and algorithms for analytics. The unit will also cover the practice of data science including ethical and responsible behaviour when crawling, cleaning, analysing, representing and repurposing the data. Students will be able to obtain data, recognise data formats, summarise and visualise relationships in the data, perform exploratory data analysis tasks and build predictive models.

    Cloud computing represents a significant shift in the delivery of Information Technology to end users by introducing the ability to deliver infrastructure, platforms, and software via the network. This unit explores the technologies, models, benefits and risks of cloud computing and includes a study of virtualization as one of the key building blocks of most cloud computing solutions. Upon completion of the unit students will have a clear understanding of cloud computing, the types of problems solved by cloud computing, and the issues that must be considered when deploying cloud technologies in an organisation.

    This unit will explore foundational knowledge of and basic skills related to responsive web app design and development. Students will learn basic HTML, responsive CSS and JavaScript skills in order to build web apps both for desktop and mobile devices. Students will develop an understanding of how web design and web programming work together, as well as learn fundamentals of responsive web design, mobile UI design, licensing of media, mobile screen handling, touch events, and game concepts.

    This unit will introduce students to ubiquitous and readily accessible devices for data capture, such as the sensor suite on a mobile smartphone, and those commonly used in homes, vehicles and current examples of cyber-physical systems. Students will be introduced to data capture protocols and methodologies, as well as data presentation and visualisation methods. Through practical investigations and analysis, students will investigate issues of robustness, reliability and validity of data and the effects of these on conclusions drawn from data.

    In SIT182 students will learn the real world practices of cyber security by solving problems based on realistic case studies. Students will explore fundamental concepts of risks in managing communication networks and choose the appropriate means to manage these risks. The unit enables students to understand threats and vulnerabilities in the context of how systems can be compromised and how we can prevent harm to systems. There will be a practical focus on how we can detect and respond to cyber-attacks. The key to learning will be introducing students to practices through case studies.

    This unit aims to develop the fundamental functions of applied mathematics, and to introduce calculus to students who have not previously studied it in secondary school. It is designed to prepare students from a number of different disciplines for learning tertiary level mathematics. Students will explore the algebra of polynomials, exponentials, logarithms and trigonometric functions and learn rules for differentiating and integrating these functions. Applications studied include graph sketching, maximisation and minimisation problems, areas and kinematics.

    This unit provides students with the foundations in a range of areas in discrete mathematics, which is the basis for mathematical reasoning in applied sciences. SIT192 is designed to prepare students from a number of different disciplines for further study in the areas of linear algebra, number theory, graph theory, symbolic logic, set theory and combinatorics. These areas of study are vital for studying cryptography, networks, computer programming and analysis of algorithms.

    The aim of this unit is to provide students with a critical understanding of the intellectual foundations of the study of management. The unit will provide the opportunity to analyse how the solutions to management ‘problems’ have developed under different conditions throughout the nineteenth and twentieth century. The unit also explores how management practice influences, and is influenced by, the external environment. This will involve examining how managerial action impacts on and is shaped by the environment, through a consideration of, ethics, social responsibility, and the social and cultural context of management.

    This module’s learning and assessment activities provide students with guidance on what constitutes academic integrity. It will allow students to develop knowledge, skills and good practice principles to avoid plagiarism and collusion and thereby maintain academic integrity.

    ^ Information Technology core unit
    * Computer Science core unit
    # Cyber Security core unit
    ‘ Artificial Intelligence core unit
    Note: Not all units are available every trimester

    How will I study at Deakin College Jakarta Campus?

    There are two study modes at Deakin College Jakarta Campus – Face-to-Face or Deakin College Online.
    On-campus classes run between 8.00am and 4.45pm on weekdays. Most units consist of 4 contact hours of classes per week. You will generally have either a morning session or an afternoon session – not both. You can also expect to do between 4-6 hours of private self-study per unit, per week.
    DC Online is a true, cloud-based online learning system available for Diploma units at Deakin College (all campuses). There is no live Zoom component. In DC Online, you will have full access to lectures, recorded content and videos, classroom notes, readings, activities, quizzes and assessments. You can access these at any time, i.e. you are not restricted to a fixed timetable. In addition, an optional one hour live online session is held each week for every unit, and you are strongly encouraged to attend.

    Entry Requirements

    • SMA III with an average grade of 6.5 in 4 academic subjects
    • 2 passes in GCE A-levels or equivalent
    • Minimum IB Diploma score 22
    • Complete and pass GAC level 3
    The language of instruction at Deakin College is English. International students must be able to demonstrate English language proficiency before being admitted to a course. The following can be used as a general guide to English admission requirements.
    • IELTS score of 5.5 (with no band score below 5.5)
    • TOEFL iBT score of 52 (Writing 19, Speaking 16, Listening and Reading 5)
    • Pearson Test of English (PTE): 42 (with no communicative skill less than 42)
    • IGCSE/O Levels minimum grade C in English
    • IB Diploma grade 4 in English
    • Duolingo English Test 85

    Second Year Entry to Deakin University

    On completion of this Diploma you can pathway into the following degrees at Deakin University:
    Majors: Internet-of-Things, Robotics, Data Science
    Bachelor of Data Science (pathway commences in 2024)
    Majors: Application Development, Networking and Cloud Computing, Cyber Security
    Bachelor of Software Engineering (Honours)**  (pathway commences in 2024)

    * Additional level 1 unit(s) may be required at Deakin University

    ** This degree requires you to take additional first year degree units when you transfer to Deakin University. The degree may therefore take longer to complete.

    Transfer Requirements

    Upon successful completion of a Diploma, that is, having passed eight units, all students are eligible for entry to a FULL-FEE paying place in second year of the relevant Deakin University undergraduate degree, provided they have met the academic progression criteria below.
    Entry into the relevant Bachelor degree
    • completed and passed eight Deakin College Diploma units;
    • a Weighted Average Mark (WAM) of at least 50%, taking into account all units attempted at Deakin College.
    Be aware of the intakes available for your desired destination course.

    More Information

    For more details about course plans, accepting your offer, subject availability, streams and unit overviews, please download the course and unit outline PDF.