Information Technology 2026 | Página 15

What your course will look like
YEAR 1
UNITS
Semester 1 24 Credit points
FIT1045 Introduction to programming 6 Credit points
FIT1047 Introduction to computer systems, networks and security 6 Credit points
FIT1058 Foundations of computing 6 Credit points
Elective 6 Credit points
Semester 2 24 Credit points
FIT1008 Fundamentals of algorithms 6 Credit points
FIT1049 / FIT1055 IT professional practice 6 Credit points
FIT1061 Introduction to artificial intelligence 6 Credit points
Elective 6 Credit points
YEAR 2
UNITS
Semester 1 24 Credit points
FIT2004 Algorithms and data structures 6 Credit points
FIT2094 Databases 6 Credit points
FIT2111 Symbolic artificial intelligence and machine learning 6 Credit points
Elective 6 Credit points
Semester 2 24 Credit points
FIT2014 Theory of computation 6 Credit points
FIT2112 Deep learning 6 Credit points
Elective 6 Credit points
Elective 6 Credit points
Summer semester
FIT3199 Industry work experience
YEAR 3
UNITS
Semester 1 24 Credit points
FIT3193 Artificial intelligence project 1 6 Credit points
FIT3191 Generative artificial intelligence 6 Credit points
Elective 6 Credit points
Elective 6 Credit points
Semester 2 24 Credit points
FIT3194 Artificial intelligence project 2 6 Credit points
FIT3203 Intelligent agents 6 Credit points
Technical elective unit 6 Credit points
Level 3 Elective unit 6 Credit points
Foundation studies Professional practice studies Specialist studies Applied studies Free elective studies Industrial training( compulsory MQA requirement for students who do not participate in the IBL program)
Approved technical elective units FIT3192 Emerging and advanced topics in artificial intelligence FIT3183 Malicious AI and dark side security
Please refer to page 12 for a list of Level 1, 2 and 3 electives. Students are also allowed to opt for other electives offered across the University. This course map is intended as a rough guide. Units listed may vary depending on intake, availability and the latest requirements.
Scan to view all possible course progressions.
Monash’ s strong industry connections and research opportunities allowed me to gain real-world exposure, preparing me for the challenges of the workforce. Looking back, my time at Monash was not just about acquiring knowledge but also about developing skills, building meaningful connections, and growing both personally and professionally.”
LIM JIA HUI
Bachelor of Computer Science in Data Science AI and Data Analyst, Deloitte
Jia Hui’ s goal is to use AI and data-driven solutions to create a positive impact on society. She believes that AI should not be seen as a tool to replace human capabilities, but rather as a means to enhance and simplify our lives. She aspires to develop AI-driven systems that improve efficiency, accessibility, and decision-making across various industries, from healthcare to finance and beyond.
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