GD188 - Graduate Diploma in Information Technology

Plan: GD188 - Graduate Diploma in Information Technology
Campus: City Campus

Program delivery and structure

Approach to learning and assessment
Work integrated learning
Program structure

---

Approach to learning and assessment

The teaching approach in this program is designed to foster your development as an independent learner so you will be able to extend your capabilities once you graduate. The teaching method includes lectorial, seminar, tutorial, workshop, practical and laboratory sessions, and provision of online materials. You will be expected to complete all prescribed out-of-class learning activities in preparation of scheduled face-to-face and online classes, and encouraged to extend your learning through additional recommended readings and online activities. Of particular importance is the time spent in practice, laboratory based and work integrated learning activities that will develop your employability skills and capabilities.

Several courses in the program are delivered online, rather than on-campus, and you are likely to find that other courses transition to online delivery as you progress through the program. All courses use Canvas for electronic provision of course material, tutorial problems and/or other relevant documents.  

Assessment is designed to give you the opportunity to demonstrate your capabilities. Various forms of assessment will be used throughout the program since the assessment you undertake will be appropriate to the objectives and student learning outcomes for each course. Assessment may include class tests, quizzes, essays/reports, oral class presentations, group projects, research projects, laboratory projects, practical assignments, timed assessment, reflective journals, and (where required by Professional Accreditation bodies) end of semester examinations.  

Please note that if you have a disability, long-term medical condition and/ or mental health condition ELS can support you to create reasonable adjustments to ensure you can participate in your studies. You can contact the Equitable Learning Services (ELS) unit if you would like to find out more. Information about ELS can be found at: www.rmit.edu.au/students/support-services/equitable-learning

The University considers the wellbeing and safety of all students, staff and the community to be a priority in on-campus learning and professional experience settings. 

Credit Transfer and Recognition of Prior Learning 
If you have already developed areas of skill and knowledge included in this program (for example, through prior studies or work experience), you can apply for credit once you have enrolled in this program. There is information on the RMIT University website about how to apply for Credit: https://www.rmit.edu.au/students/student-essentials/enrolment/apply-for-credit. 

Top of page

Work integrated learning

RMIT University is committed to providing you with an education that strongly links formal learning with professional or vocational practice. As a student enrolled in this program you will:  

• Undertake and be assessed on structured activities that allow you to learn, apply and demonstrate your professional or vocational practice  
• Interact with industry and community when undertaking these activities  
• Complete these activities in real work contexts or situations.  

Any or all of these aspects of a WIL experience may be in a simulated workplace environment.   

In this program you will be doing specific courses that focus on work integrated learning (WIL). You will be assessed on professional or vocational work in a workplace setting (real or simulated) and receive feedback from those involved in your industry. The work integrated learning (WIL) designated course for this program is:

• ISYS1117 Software Engineering Fundamentals

In this WIL course, you will interact with organisations (industry, government and community) through discipline relevant projects and activities. These interactions and the work context provide a distinctive source of feedback to you to assist your learning. In ISYS1117 you will work in a team on a software engineering project, interacting with a professional software project manager. You will have the opportunity to learn, apply and demonstrate professional software project management practice.

Please note: students may be required to undertake additional screening/compliance checks as advised by Government, Industry or RMIT University as the need arises.  If applicable, further information will be provided once enrolment has been completed. 

International Students will need to check their Visa requirements and any work regulations/limitations before they can commence any WIL Activity.  Further information can be found under the Visa Requirements for International Students section. 

Top of page

Program Structure

To graduate you must complete the following: All courses listed may not be available each semester.
Top of page
Year One of the Program
Complete the following Six (6) Courses:
Course Title Credit Points Course Code Campus Programming Fundamentals 12 COSC2531 City Campus Software Engineering Fundamentals 12 ISYS1117 City Campus Database Concepts 12 ISYS1055 City Campus IT Infrastructure and Security 12 COSC2737 City Campus Advanced Programming 12 COSC1295 City Campus Usability Engineering 12 COSC1182 City Campus
AND
Select and Complete One (1) Course from Advanced Topics Options. Please refer to the list of Advanced Topics Option courses at the end of this program structure.
AND
Select and Complete One (1) Course from Program Options or Advanced Topics Options. Please refer to the list of Program Option courses and Advanced Topics Option courses at the end of this program structure.
AND
Top of page
Program Option Courses
List of Program Option Courses
Course Title Credit Points Course Code Campus Governance and Change in Digital Business 12 INTE2412 City Campus Digital Strategy 12 INTE1030 City Campus Digital Innovation 12 INTE1014 City Campus Frontiers of Applied Cryptography 12 INTE1127 City Campus Practical Data Science with Python 12 COSC2670 City Campus Intelligent Decision Making 12 COSC2780 City Campus
AND
Top of page
Advanced Topics Option Courses
List of Advanced Topics Option Courses
Course Title Credit Points Course Code Campus Further Web Programming 12 COSC2938 City Campus Security Testing 12 INTE2580 City Campus Big Data Management 12 COSC2636 City Campus Big Data Processing 12 COSC2637 City Campus Cloud Computing 12 COSC2640 City Campus Cloud Infrastructures 12 COSC2642 City Campus Cloud Security 12 INTE2401 City Campus Computational Machine Learning 12 COSC2793 City Campus Computer and Internet Forensics 12 COSC2302 City Campus Cryptography for Cyber Security 12 INTE1125 City Campus Data Mining 12 COSC2111 City Campus Database Applications 12 ISYS1101 City Campus Database Systems 12 COSC2407 City Campus Deep Learning 12 COSC2779 City Campus Games and Artificial Intelligence Techniques 12 COSC2528 City Campus iPhone Software Engineering 12 COSC2472 City Campus Web Search Engines and Information Retrieval 12 ISYS1078 City Campus Mobile Application Development 12 COSC2347 City Campus Object Oriented Software Design 12 ISYS1083 City Campus Programming Autonomous Robots 12 COSC2781 City Campus Secure Electronic Commerce 12 INTE1070 City Campus Network Programming 12 COSC1176 City Campus Software Requirements Engineering 12 COSC2275 City Campus Systems Architecture 12 ISYS1088 City Campus Artificial Intelligence 12 COSC1125 City Campus Electronic Commerce and Enterprise Systems 12 COSC2354 City Campus Software Testing 12 ISYS1085 City Campus Web Development Technologies 12 COSC2277 City Campus Information Systems Risk Management 12 INTE2396 City Campus Evolutionary Computing 12 COSC2033 City Campus Programming Internet of Things 12 COSC2755 City Campus
Top of page

 
 
[Previous: Learning outcomes]