CourseBachelor DegreeBCompSci

C2001 Bachelor of Computer Science

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 2025 you can choose from 5 minors and 4 specialisations. Students rate it 4.0 out of 5 from 1 review. Map your units semester by semester with the MonMap planner.

Credit points
144
Duration
3 years full time
6 years part time
Campus
Malaysia, Clayton
On campus
Guaranteed ATAR
70

This is the 2025 handbook entry. See the 2027 entry.

Reviews

Rated 4.0 out of 5 from 1 review
4.01 review
  1. 5 stars: 0
  2. 4 stars: 1
  3. 3 stars: 0
  4. 2 stars: 0
  5. 1 star: 0
Teaching
4.0out of 5 from 1 review
Flexibility
4.0out of 5 from 1 review
Career prospects
5.0out of 5 from 1 review
Support
3.0out of 5 from 1 review
Community
4.0out of 5 from 1 review
Difficulty
Hard

What students say

  • JSOctober 2026 · Started in 2024
    4 out of 5: Good

    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.

    • Teaching4out of 5
    • Flexibility4out of 5
    • Career prospects5out of 5
    • Support3out of 5
    • Community4out of 5
    • DifficultyHard

Requisite map

Overview

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 four specialisations; algorithms and software studies including graphics, intelligent systems and networks; a specialisation in cybersecurity including tools and techniques, fundamental privacy concepts and secure software and network systems; or specialisations in data science or data science and artificial intelligence 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 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.

Course structure

Part A. Foundational computer science study42 credit points
Note: In the double degree course with the Bachelor of Engineering (Honours) completing the software engineering specialisation, you must replace FIT2004 and FIT1058 with two FIT-coded electives of which at least one must be at Level 2 (FIT2004 and FIT1058 will be completed in the software engineering specialisation).
Part B. Professional skills study6 credit points
Part C. Specialist discipline knowledge and Part D. Problem solving and analytical skills36 credit points
Part E. Applied practice12 credit points
You must complete one of the following options

Clayton option

12 credit points
You must complete one of the following

Data science or Data science and artificial intelligence project

18 credit points

Industry based learning

18 credit 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 option

12 credit points
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 or a zero credit point unit FIT3199 Industry work experience.

Therefore, you must complete either the Computer science project or Data science project and either FIT3045 IBL placement or FIT3199 Industry work experience.

Industry based learning

18 credit points
You must complete one of the following units.

FIT3045 is only available if you are selected to participate in the IBL placement program. You will replace the Level 3 elective unit (6 credit points) from your specialisation: Advanced computer science or Data science, to make up the 18 credit 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.

FIT3199 must be completed over the summer vacation period between second and third year. 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.
Part F. Free elective study48 credit points
You must complete 48 credit points of free electives from across the university, provided you satisfy the unit rules, including choosing to complete a major or minor from the Faculty of IT or from another course as long as there are no restrictions on enrolment in the units..

The units may be at any level, however, no more than 10 units (60 credit points) at Level 1 may be credited to the Bachelor of Computer Science and a minimum 36 credit 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

Recommended IT minors and electives

To enhance your IT studies the Faculty recommends the following minors and elective units which can be taken as part of your free electives. Other IT minors are also available, check the Faculty Handbook pages.

Note: If you are doing the Cybersecurity specialisation you cannot do the Cybersecurity minor.
The handbook's description of this structure

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:

  • FIT1045 Introduction to programming
  • FIT1047 Introduction to computer systems, networks and security
  • FIT1008 Fundamentals of algorithms
  • FIT1058 Foundations of computing*
  • FIT2004 Algorithms and data structures*
  • FIT2014 Theory of computation
  • FIT2094 Databases

*If you are in the double degree course with the Bachelor of Engineering (Honours) completing the software engineering specialisation you must replace FIT2004 and FIT1058 with two FIT-coded electives of which at least one must be at level 2 (FIT2004 and FIT1058 will be completed in the software engineering specialisation).

Part B. Professional skills study (6 points)

You must complete:

  • FIT1049 IT professional practice or FIT1055 IT professional practice


Part C. Specialist discipline knowledge and Part D. Problem solving and analytical skills (36 points)

You must complete one of the following specialisations.

Algorithms and software

You must complete:

a. The following five units (30 points):

  • FIT2099 Object-oriented design and implementation^
  • FIT2102 Programming paradigms
  • FIT2109 Computer science workshop
  • FIT3143 Parallel computing
  • FIT3155 Advanced data structures and algorithms

b. One of the following level 3 elective units (6 points)*: 

  • FIT3080 Artificial intelligence
  • FIT3139 Computational modelling and simulation
  • FIT3146 Maker lab
  • FIT3159 Computer architecture
  • FIT3182 Big data management and processing
  • MTH3170 Network mathematics
  • MTH3175 Network mathematics (Advanced)

^If you are in the double degree course with the Bachelor of Engineering (Honours) completing the software engineering specialisation you must replace FIT2099 with a Level 2 or above FIT-coded elective.

*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).

Cybersecurity

You must complete:

a. The following five units (30 points):

  • FIT1057 Introduction to cybersecurity
  • FIT1093 Cybersecurity tools and techniques
  • FIT2173 Software security
  • FIT3185 Privacy enhancing technologies
  • FIT3186 Vulnerability analysis, response and mitigation

b. One of the following level 3 elective units (6 points)*:

  • FIT3031 Network security
  • FIT3168 IT forensics

*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).

Data science

You must complete:

a. The following four units (24 points):

  • FIT1043 Introduction to data science
  • FIT2086 Modelling for data analysis
  • FIT2179 Data visualisation
  • FIT3152 Data analytics

b. Two of the following level 3 elective units (12 points)*:

  • FIT3003 Business intelligence and data warehousing
  • FIT3154 Advanced data analysis
  • FIT3181 Deep learning
  • FIT3182 Big data management and processing
  • FIT3183 Malicious AI and dark side security

*If you are selected to participate in the IBL placement program you will replace one level 3 elective unit with 6 points of the 18 point IBL unit (FIT3045).

Data science and artificial intelligence

You must complete:

a. The following five units (30 points):

  • FIT1043 Introduction to data science
  • FIT2086 Modelling for data analysis
  • FIT2179 Data visualisation
  • FIT3080 Artificial intelligence
  • FIT3152 Data analytics

b. One of the following level 3 elective units (6 points)*:

  • FIT3003 Business intelligence and data warehousing
  • FIT3154 Advanced data analysis
  • FIT3181 Deep learning
  • FIT3182 Big data management and processing
  • FIT3183 Malicious AI and dark side security

*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):

  • FIT3161 Computer science project 1 and FIT3162 Computer science project 2
  • FIT3163 Data science project 1 and FIT3164 Data science project 2
  • FIT3188 Cybersecurity project 1 and FIT3189 Cybersecurity project 2
  • FIT3045 Industry-based learning* (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):

  • FIT3161 Computer science project 1 and FIT3162 Computer science project 2; or
  • FIT3163 Data science project 1 and FIT3164 Data science project 2
  • FIT3045 Industry-based learning* (18 points); or
  • FIT3199 Industry work experience** (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.

Areas of study

Learning outcomes

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:

  1. 1

    demonstrate knowledge of the role of computer science and computational methods, and recognise the importance of theoretical underpinning for practical work

  2. 2

    demonstrate understanding of ethical and legal issues in the chosen specialisation and its historical, contemporary and likely future scientific, industrial and social context

  3. 3

    analyse problems, design algorithms to solve them, and program efficient software solutions

  4. 4

    apply problem solving strategies to develop efficient solutions in their area of specialisation; in particular:

    • algorithms and software students will be able to design and implement substantial pieces of software using a range of programming paradigms, advanced data structures and algorithms.
    • cybersecurity students will be able to design, analyse, implement, and evaluate security and privacy mechanisms.
    • data science students will be able to design, implement and apply methods for capturing, managing and analysing data.
    • data science and artificial intelligence students will be able to design, implement and apply methods for capturing, managing and analysing data as well as designing and implementing computer programs that perform tasks that typically require human intelligence, such as reasoning, problem-solving, learning, and perception.
  5. 5

    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

  6. 6

    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.

     

Entry requirements

Guaranteed ATAR and selection rank

70; International: UERT Year 12/Foundation Band 3 (80-82.49); UERT Post-Secondary Band 2+ (High Credit)

Other applicants

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:

  • Applicants who already meet the minimum entry requirements of the course with their previous Year 12 (or equivalent) qualification require at least two completed university units with at least a 60% average to be considered for admission.
  • Applicants who do not meet the minimum entry requirements of the course with their previous Year 12 (or equivalent) qualification must complete at least one academic year with at least a 60% average.

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.

English language

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

Pathways

Diploma of Higher Education Studies - Computer Science (offered at Malaysia)

Monash College -  Diploma of Information Technology

Monash Transition Program 

More information

Progression to further studies

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. 

Professional accreditation

This course is accredited by the Australian Computer Society (ACS) as meeting the standard of knowledge for professional-level membership.

Notes for students

Clayton students: you can contact the Course Director at [email protected]

You can enrich your degree to hone your academic and professional skills with a range of Flagship Rich Educational Experiences (FREE). These flagship rich educational experience units may be credited utilising your free electives, or alternatively in place of your discipline specific electives (up to 6 credit points) if approved by the faculty. There are both 6 and 12 credit point unit options available.*

For information on eligibility please see FREE

Other information

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 four specialisations; algorithms and software studies including graphics, intelligent systems and networks; a specialisation in cybersecurity including tools and techniques, fundamental privacy concepts and secure software and network systems; or specialisations in data science or data science and artificial intelligence 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 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.

Contacts

Academic Coordinator
Dr Pierre Le Bodic
Associate Professor Alexey Ignatiev
Dr Muhammad Fermi Pasha
Dr Ong Huey Fang

Common questions

How long is Bachelor of Computer Science?

3 years full time, 144 credit points. At 24 credit points a semester, that is 6 semesters of full-time study.

What specialisations can I take in Bachelor of Computer Science?

4 specialisations in 2025, including Algorithms and software; Cybersecurity; Data science; and Data science and artificial intelligence.

What ATAR do I need for Bachelor of Computer Science?

The guaranteed ATAR listed for 2025 entry is 70.

Where can I study Bachelor of Computer Science?

At Malaysia and Clayton.

How do I plan my Bachelor of Computer Science units?

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.

What do students think of Bachelor of Computer Science?

It is rated 4.0 out of 5 from 1 review. Read the reviews above or add your own.

Course details

Qualification
Bachelor Degree
AQF level
Level 7
Credit points
144
Full time
3 Years
Part time
6 Years
Maximum time
8 years
Faculty
Faculty of Information Technology
CRICOS code
079336A
Abbreviation
BCompSci
Award titles
Bachelor of Computer Science in Data Science and Artificial IntelligenceBachelor of Computer Science in Data ScienceBachelor of Computer Science in CybersecurityBachelor of Computer Science