Graduate Diploma in Cyber Security (GradDipCybSec)
Graduate Diploma in Cyber Security (GradDipCybSec)
Program Code
GDCYS
Program Faculty
Faculty of Sciences, Engineering and Technology
Academic Year
2024
These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).
Overview
The Graduate Diploma in Cyber Security is designed to meet the demand for cyber security professionals in public, NGO, law enforcement, and commercial sectors. It provides a strong analytical framework to understand the challenges, problems and solutions of cyber security from technical and non-technical perspectives. Students will develop technical knowledge and learn to apply this through technical and organisational perspectives to provide cyber security expertise to organisations. It provides advanced standing to further learning in the Master of Cyber Security.
The Graduate Diploma in Cyber Security is an AQF Level 8 program with a standard full-time duration of 1 year.
Program Learning Outcomes
- Demonstrate knowledge and understanding of the technical practice of Cyber Security, and its application within industry contexts.
- Apply the principles of Cyber Security within real-world contexts.
- Adopt and employ professional attitudes, standards and values.
- Use interpersonal skills to enable effective communication with a range of audiences.
Conditions
Interruption of program: Students must apply for permission from the Executive Dean or delegate before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to be re-admitted to the program subject to the admission procedures in place at the time.
Program Maximum Duration: As specified in Table 1 of the Coursework Academic Programs Policy, this program must be completed within a Maximum Duration which includes any periods of non-enrolment, leave of absence or approved study at other institutions for credit towards a Program.
Academic Program Rules for Graduate Diploma in Cyber Security
There shall be a Graduate Diploma in Cyber Security.
Qualification Requirements
To qualify for the Graduate Diploma in Cyber Security the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 24 units, comprising:
- Core courses to the value of 12 units
- Elective courses to the value of 12 units
- International students with an IELTS overall score less than 8.0 are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.
Core Courses
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Core Courses
To satisfy the requirements for Core Courses students must complete courses to the value of 12 units.
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 7210 Foundations of Computer Science A 3 COMP SCI 7211 Foundations of Computer Science B 3 COMP SCI 7328 Concepts in Cyber Security 3 and
Courses to the value of 3 units from the following:
Subject/Catalogue Course Title Unit Value MATHS 7027 Mathematical Foundations of Data Science 3 MATHS 7107 Data Taming 3
Electives
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Electives
To satisfy the requirements for Electives students must complete courses to the value of 12 units.
Courses to the value of 6 units from Set 1 and Courses to the value of 6 units in total from Sets 1 and 2.
Set 1
Subject/Catalogue Course Title Unit Value COMMGMT 7023 Business Data & Cyber Security (M) 3 COMMGMT 7025 Information Risks, Threats & Controls (M) 3 COMMGMT 7026 Policies & Procedures in Organisational Cyber Security (M) 3 COMP SCI 7081 Computer Systems 3 COMP SCI 7106 Hot Topics in IoT Security 3 COMP SCI 7212 Human and Ethical Factors in Computer Science 3 COMP SCI 7307 Secure Programming 3 COMP SCI 7308 Cybersecurity Fundamentals 3 COMP SCI 7412 Secure Software Engineering 3 MATHS 7026 Cryptography PG 3 STEM 7111 STEM Internship 6 Set 2
Subject/Catalogue Course Title Unit Value COMMGMT 7024 Business Information Systems & Management (M) 3 COMP SCI 7039 Computer Networks & Applications 3 COMP SCI 7064 Operating Systems 3 COMP SCI 7092 Mobile and Wireless Systems 3 COMP SCI 7209 Big Data Analysis and Project 3 COMP SCI 7306 Mining Big Data 3 COMP SCI 7314 Introduction to Statistical Machine Learning 3 COMP SCI 7317 Using Machine Learning Tools PG 3 COMP SCI 7318 Deep Learning Fundamentals 3 COMP SCI 7413 Introduction to Quantum Computing 3 COMP SCI 7416 Applied Machine Learning 3 COMP SCI 7417 Applied Natural Language Processing 3 ELEC ENG 7051 Digital Microelectronic Systems PG 3 ELEC ENG 7080 Principles of Communication Systems 3 ELEC ENG 7081 Telecommunications Systems 3 MATHS 7103 Probability & Statistics PG 3 PHIL 7005 Machine Learning and Artificial Intelligence 3 STATS 7107 Statistical Modelling and Inference 3