Example Study Plan
Core courses (12 units total)
Students must complete all of the following	
COMP SCI 7210 Foundations of Computer Science A
COMP SCI 7211 Foundations of Computer Science B
COMP SCI 7328 Concepts in Cyber Security
MATHS 7027 Mathematical Foundations of Data Science
Elective Set A (15 units total)

Option 1:
5 courses* (3 units each) plus 3 courses from Set B

OR

Option 2:
3 courses* (3 units each) plus ENG 7111 Internship (6 units) plus 3 courses from Set B

OR

Option 3:
8 courses* (3 units each) from Set A with no Set B electives

COMP SCI 7106 Hot Topics in IoT Security
COMP SCI 7212 Human and Ethical Factors in Computer Science
COMP SCI 7307 Secure Programming
COMP SCI 7308 Cybersecurity Fundamentals
COMP SCI 7412 Secure Software Engineering
ENG 7111 Internship (6 units)

*Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.
Elective Set B (9 units total)
Students must choose 3 courses	
COMP SCI 7209 Big Data Analysis and Project
COMP SCI 7306 Mining Big Data
COMP SCI 7314 Introduction to Statistical Machine Learning
COMP SCI 7317 Using Machine Learning Tools PG
COMP SCI 7318 Deep Learning Fundamentals
COMP SCI 7417 Applied Natural Language Processing
MATHS 7103 Probability & Statistics PG
PHIL 7005 Machine Learning and Artificial Intelligence
STATS 7107 Statistical Modelling and Inference
Project (12 units total)

Option 1:
Research Pathway

Option 2:
Industry Pathway	
Research pathway
COMP SCI 7101A Cyber Security Research Project Part A
COMP SCI 7101B Cyber Security Research Project Part B
OR

Industry pathway
COMP SCI 7102A Cyber Security Industry Project Part A
COMP SCI 7102B Cyber Security Industry Project Part B