Faculty of Information Technology
Bachelor of Computer Science (C2001) is a 3 years full-time, 144-credit-point, bachelor degree course from the Faculty of Information Technology, taught at Malaysia and Clayton. In 2024 you can choose from 2 specialisations. Students rate it 4.0 out of 5 from 1 review. Map your units semester by semester with the MonMap planner.
This is the 2024 handbook entry. See the 2027 entry.
Good course if you want a strong algorithms and theory base. The core units are well designed and there is decent room for electives later. Course advice can be slow during enrolment periods, so plan your units with a tool like this early.
The course is designed for students who wish to study computing in depth. Computer science is the theory and practice of applying computers and software to problem-solving. Its practical applications span all disciplines including science, engineering, business and commerce, creative and performing arts and the humanities. You will learn how to think like a computer scientist about processes and their descriptions. This will enable you to design algorithms (instructions for computers) and data structures (ways to store information). You will also acquire practical programming skills to implement these in efficient software that solves real-world problems. The course provides strong foundations in the theory of computation and its connection to mathematics.
This flexible course offers you a choice of two specialisations, either advanced computer science studies including graphics, intelligent systems and networks, or a specialisation in data science to handle the massive datasets of the information age. Your studies will conclude with a significant project in the area of your specialisation.
If you are an eligible student, you may apply for the industry-based learning (IBL) placement program, in which you undertake a 22-week, full-time industry placement as part of the curriculum. Through the IBL placement program you will apply the computer science skills and knowledge you have gained to real-world problems in a professional organisation.
The course develops through the themes of computer science foundation study, professional skills study, specialist discipline knowledge, problem-solving and analytic skills study, which come together in applied practice.
Part A. Computer science foundation study
This study will develop your understanding of the role and theoretical basis of computer science and computational methods.
Part B. Professional skills study
This study develops professional skills by providing an understanding and appreciation of the ethical and professional guidelines applicable to computer science, developing the ability to work as an effective team member, developing the ability to communicate proficiently and appropriately for professional practice, and developing formal project management skills.
Part C. Specialist discipline knowledge
This study will develop your in-depth knowledge of the specific computer science methods of your specialised field within computer science.
Part D. Problem solving and analytical skills study
This study will develop your ability to apply appropriate methodologies in computer science and develop efficient computational solutions. It develops strong problem-solving skills and the ability to apply analytical thinking.
Part E. Applied practice
The above knowledge and skills are integrated and consolidated in applied practice as demonstrated in a computer or data science project, and in some cases in an industry-based learning placement.
Part F. Free elective study
These elective units will enable you to broaden and deepen your knowledge of computer science, or to select units from across the University in which you are eligible to enrol.
If you are in a double degree courses, some units required for the partner degree are credited as electives towards the computer science degree.
Course progression map
The course progression map (Clayton) (Malaysia) provides guidance on unit enrolment for each semester of study.
This course comprises 144 points, of which 96 points must be from computer science study and 48 points are used to provide additional depth or breadth through elective study.
The course develops through theme studies in: Part A. Foundational computer science study (42 points), Part B. Professional skills study (6 points), Part C. Specialist discipline knowledge and Part D. Problem solving and analytical skills (36 points), Part E. Applied practice (12 points), and Part F. Free elective study (48 points).
Elective units may be at any level, however, no more than ten units (60 points) can be credited to the computer science course at level 1 and a minimum of 36 points must be completed in computer science at level 3.
Note: Students at the Malaysia campus are required to have completed an industry placement in order to graduate. This can either be the Industry-based learning unit (Part E) or a zero credit point unit FIT3199 Industry work experience. This unit will provide a framework for all undergraduate information technology students at the Malaysia Campus to complete the compulsory industry experience as required by the Malaysian Qualifications Agency.
Units are 6 points unless otherwise stated.
Part A. Foundational computer science study (42 points)
You must complete:
*If you are in the double degree course with the Bachelor of Engineering (Honours) completing the software engineering specialisation you must replace FIT2004 and MAT1830 with two FIT-coded electives of which at least one must be at level 2 (FIT2004 and MAT1830 will be completed in the software engineering specialisation).
** If you are in the double degree course with the Bachelor of Engineering (Honours) you must replace MAT1841 with an FIT-coded elective at any year level. MAT1841 will be replaced with ENG1005 in the engineering component of the double degree. If you are in the double degree course with the Bachelor of Science you can replace MAT1841 with MTH1030. This unit will count towards the computer science component of the double degree.
Part B. Professional skills study (6 points)
You must complete:
Part C. Specialist discipline knowledge and Part D. Problem solving and analytical skills (36 points)
You must complete one of the following specialisations.
Advanced computer science
Note: if you are in the double degree with the Bachelor of Engineering (Honours) studying the software engineering specialisation you should refer to the section below titled 'Advanced computer science requirements for software engineering double degree students'.
You must complete:
a. The following five units (30 points):
b. One of the following level 3 elective units (6 points)*:
*If you are selected to participate in the IBL placement program you will replace this level 3 elective unit with 6 points of the 18 point IBL unit (FIT3045).
Advanced computer science requirements for software engineering double degree students
You must complete:
a. The following three units (18 points):
b. One level 2 FIT-coded unit (6 points)
c. Two of the following level 3 elective units (12 points):
Data science
You must complete:
a. The following five units (30 points):
b. One of the following level 3 elective units (6 points)*:
*If you are selected to participate in the IBL placement program you will replace this level 3 elective unit with 6 points of the 18 point IBL unit (FIT3045).
Part E. Applied practice (12 points)
Clayton students complete a full-year project (12 points) relevant to their specialisation, or the industry-based learning unit (18 points):
* This option is available only if you are selected to participate in the IBL placement program. FIT3045 (18 credit points) replaces the capstone project units and the level 3 elective unit in your specialisation. You must complete one unit over summer semester or overload in one semester by one unit in order to complete the degree within three years.
Malaysia students complete a full-year project (12 points) relevant to their specialisation and the industry-based learning unit (18 points) or the industry work experience unit (0 points):
* This option is available only if you are selected to participate in the IBL placement program. You will replace the level 3 elective unit (6 points) from your specialisation: Advanced computer science or Data science, to make up the 18 points required. You must complete one unit over summer semester or overload in one semester by one unit in order to complete the degree within three years.
**This unit must be completed over the Summer vacation period between second and third year.
Part F. Free elective study (48 points)
Your elective units may be chosen from the faculty or across the University as long as you have completed the prerequisites and there are no restrictions on enrolment in the units, including choosing to complete a major or minor from other courses. The units may be at any level, however, no more than 10 units (60 points) at level 1 may be credited to the Bachelor of Computer Science and a minimum 36 points must be at level 3.
If you are in a double degree course, some units required for the partner degree are credited as electives towards the computer science degree.
These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.
Upon successful completion of this course it is expected that you will be able to:
demonstrate knowledge of the role of computer science and computational methods, and recognise the importance of theoretical underpinning for practical work
demonstrate understanding of ethical and legal issues in the chosen specialisation and its historical, contemporary and likely future scientific, industrial and social context
analyse problems, design algorithms to solve them, and program efficient software solutions
apply problem solving strategies to develop efficient solutions in their area of specialisation; in particular:
communicate and coordinate proficiently by: listening, speaking, reading and writing English and utilising diagrams, graphics and interactive visualisations for professional practice; working as an effective member or leader of teams; and using basic tools and practices of formal project management
manage time and processes effectively by prioritising competing demands to achieve personal and team goals, with regular review of personal performance as a primary means of managing continuing professional development; behave in an ethical and professional manner; and be able to adapt readily to changing technologies.
70; International: UERT Year 12/Foundation Band 3 (80-82.49); UERT Post-Secondary Band 2+ (High Credit)
All applicants must satisfy the equivalence of the VCE subject prerequisites.
VET Diploma graduates: To be considered, applicants who are applying with a diploma, in any field of study, will require a minimum average result of at least 60%. Preference will be given to students whose prior studies are related to the course in which they are seeking admission. Programs that involve competency-based assessment without grades or marks will not meet the admission requirements. IT related diplomas may receive up to a maximum of 48 points of first year level credit.
VET Certificate IV graduates: Preference will be given to students whose prior studies are related to the course in which they are seeking admission. To be considered, applicants will normally require at least 70% average. Programs that involve competency-based assessment without grades or marks will not meet the admission requirements.
University course transfers:
STAT: The STAT can be used to complement an applicant's overall academic background. It cannot be used as the sole pathway of admission into the course.
Monash Level A, that is: IELTS (Academic): 6.5 overall (no band lower than 6.0); or Pearson Test of English (Academic): score of 58 overall with no band lower than 50; or TOEFL Internet-based test: score of 79 overall with minimum scores: Writing: 21, Listening: 12, Reading: 13 and Speaking: 18; or Equivalent approved English test
Diploma of Higher Education Studies - Computer Science (offered at Malaysia)
Monash College - Diploma of Information Technology
Monash Transition Program
Successful completion of the Bachelor of Computer Science may provide a pathway to the one year honours course C3702 Bachelor of Computer Science (Honours). To be eligible to apply for entry into the Bachelor of Computer Science (Honours), you must have successful completion of a relevant Australian bachelor degree (or equivalent) with an average of at least 70% overall or equivalent qualifications and experience approved by the faculty.
This course is accredited by the Australian Computer Society (ACS) as meeting the standard of knowledge for professional-level membership.
Clayton students: contact the Course Director at [email protected]
The course is designed for students who wish to study computing in depth. Computer science is the theory and practice of applying computers and software to problem-solving. Its practical applications span all disciplines including science, engineering, business and commerce, creative and performing arts and the humanities. You will learn how to think like a computer scientist about processes and their descriptions. This will enable you to design algorithms (instructions for computers) and data structures (ways to store information). You will also acquire practical programming skills to implement these in efficient software that solves real-world problems. The course provides strong foundations in the theory of computation and its connection to mathematics.
This flexible course offers you a choice of two specialisations, either advanced computer science studies including graphics, intelligent systems and networks, or a specialisation in data science to handle the massive datasets of the information age. Your studies will conclude with a significant project in the area of your specialisation.
If you are an eligible student, you may apply for the industry-based learning (IBL) placement program, in which you undertake a 22-week, full-time industry placement as part of the curriculum. Through the IBL placement program you will apply the computer science skills and knowledge you have gained to real-world problems in a professional organisation.
3 years full time, 144 credit points. At 24 credit points a semester, that is 6 semesters of full-time study.
2 specialisations in 2024, including Advanced computer science and Data science.
The guaranteed ATAR listed for 2024 entry is 70.
At Malaysia and Clayton.
Open the course in the MonMap planner. It lays out your semesters, checks prerequisites as you drag units in, and tracks the credit points each requirement still needs.
It is rated 4.0 out of 5 from 1 review. Read the reviews above or add your own.