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 |
FIT3199 Industry work experience |
|
|
|
YEAR 3 / LEVEL 3 |
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 |
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 FIT3003 Business intelligence and data warehousing FIT3154 Advanced data analysis FIT3181 Deep learning FIT3183 Malicious AI and dark side security.
Please refer to page 14 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 is meticulously updated to align with industry standards and the evolving job market. I was able to confidently ace technical interviews with the knowledge and skills acquired during my studies. The syllabus truly adheres to industry requirements, keeping us at the forefront of technological advancements.”
CHONG MING SHENG
Bachelor of Computer Science in Data Science Vice President, Robogals Monash Malaysia, 2023 Transformation Excellence Analyst, Accenture
As part of Accenture’ s Technology Strategy and Advisory team, Ming Sheng works at the intersection of technology and business. Currently, he is a quality engineer for a life sciences IT project with a leading pharmaceutical company. Ming Sheng is deeply curious about how data science can be harnessed to improve patient care and outcomes. He aims to address complex medical challenges and contribute meaningfully to society.
15