What your course will look like
YEAR 1 / LEVEL 1 |
UNITS |
|
|
Semester 1 24 Credit points |
FIT1045 Introduction to programming 6 Credit points |
FIT1058 Foundations of computing 6 Credit points |
FIT1047 Introduction to computer systems, networks and security 6 Credit points
Elective 6 Credit points
|
Semester 2 24 Credit points |
FIT1008 Fundamentals of algorithms 6 Credit points |
FIT1055 IT professional practice and ethics 6 Credit points |
FIT1043 Introduction to data science 6 Credit points |
Elective 6 Credit points |
YEAR 2 / LEVEL 2 |
UNITS |
|
|
|
Semester 1 24 Credit points |
FIT2004 Algorithms and data structures 6 Credit points |
FIT2094 Databases 6 Credit points |
Elective 6 Credit points |
Elective 6 Credit points |
Semester 2 24 Credit points |
FIT2014 Theory of computation 6 Credit points |
FIT2086 Modelling for data analysis 6 Credit points |
FIT2179 Data visualisation 6 Credit points |
Elective 6 Credit points |
Summer semester
YEAR 3 / LEVEL 3
FIT3199 Industry work experience
UNITS
Semester 1 24 Credit points |
FIT3163 Data science project 1 6 Credit points |
FIT3152 Data analytics 6 Credit points |
Technical elective unit 6 Credit points |
Elective 6 Credit points |
Semester 2 24 Credit points |
FIT3164 Data science project 2 6 Credit points |
Technical elective unit 6 Credit points |
Elective 6 Credit points |
Elective 6 Credit points |
Foundational computer science Specialist discipline knowledge, problem solving and analytical skills Applied practice Industrial training( compulsory MQA requirement for students who do not participate in the IBL program)
Free elective study
Specialisation units FIT3003 Business intelligence and data warehousing FIT3154 Advanced data analysis FIT3181 Deep learning FIT3183 Malicious AI and dark side security.
Please refer to page 10 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 curriculum remains meticulously updated to align with industrial standards, ensuring students are well-prepared for the dynamic job market, and the faculty’ s dedication is evident through their willingness to provide invaluable career or further study advice. I have also benefited from opportunities to attend diverse career fairs and engage with industry-leading companies. Monash has truly delivered on its promise of providing a holistic and enriching educational experience, exceeding my expectations at every turn.”
CHONG MING SHENG
Bachelor of Computer Science in Data Science Vice President, Robogals Monash Malaysia( 2023)
Ming Sheng is deeply curious about how data science can be harnessed and integrated into the medical field to improve patient care and outcomes. He aims to build a career in bioinformatics, to address complex medical challenges and contribute meaningfully to society by advancing healthcare solutions.
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