Top 200 worldwide for computer science and information systems
Globally recognised Australian degree in Singapore
Accredited by Australian Computer Society (ACS)
Why choose computer science at Deakin
Computer scientists are problem solvers and innovators. This course equips you with the knowledge and practical skills to design and develop innovative software solutions addressing multifaceted information technology problems faced by communities, businesses and industry. You will explore areas such as data analytics, machine learning, intelligent and autonomous systems, robotics, cloud computing, and telecommunications.
Get a competitive edge in the job market and stand out to your future employers. Gain hands-on experience with current technologies and training in fundamental concepts, models and methods.
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World-class Australian degree
Experience the best of Australian education and earn a globally recognised IT degree while studying in Singapore.
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Industry-informed curriculum
The course is designed in consultation with leading global technology companies and governments, ensuring you graduate ready to work in this rapidly growing IT industry.
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Practical experience with new technology
Benefit from Deakin's leading research in IT and AI and develop practical experience with advanced technologies throughout your degree.
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Graduate work-ready with ERCI
ERCI connects students with leading global industry partners through guest speakers, industry visits and projects. Build the networks and practical knowledge you need to graduate work-ready.
Connected to industry
Deakin’s strong industry connections help shape your learning. Build practical experience in real workplace contexts through work-integrated learning, mentoring and networking opportunities. Industry advisory boards also help shape our degrees, which means what you study is current, relevant and aligned to what your future employers need.
Deakin puts employability first
Career outcomes
Computer science powers the digital world. Whether you're developing software, analysing data or creating intelligent technologies, you'll be ready to pursue careers across a broad range of technology-focused industries.
Software developer
Design, develop and maintain software applications that meet user and organisational needs. Write and test code, troubleshoot technical issues and improve the performance and functionality of software systems.
- #4
Fastest-growing job globally
- 57%
Global job growth by 2030
Project manager
Plan and oversee technology projects from concept to completion. Coordinate teams, budgets, timelines and resources, manage risks and ensure projects meet organisational goals and requirements.
- 64%
Global demand growth by 2035
- 29.8m
Global talent gap by 2035
Other jobs
- Innovation lead
- Database specialist
- Technology consultant
- Software analyst
- Solutions architect
- Programmer
*Deakin references data from a range of government, higher education and reputable media sources. Learn more about our achievements on our University rankings page, or explore our sources page for supporting references.
What will I study in the Bachelor of Computer Science?
From core programming and systems knowledge to advanced software design and specialisation, across three years you’ll develop your computational intelligence and the technical and professional skills to design, build and evaluate complex computing solutions.
Building computer science foundations
Develop programming expertise
Learn how to design, write and test code while building confidence with algorithms and structured problem solving.
Understand computer systems
Explore how software interacts with hardware, data and networks to create reliable and efficient systems.
Strengthen analytical thinking
Apply mathematical and logical reasoning to solve computational problems with clarity and precision.
Develop your computer science specialisation
Progress your major and minor studies
Undertake intermediate subjects that build depth in your selected field of computer science.
Work with complex data
Design and manage data-driven solutions using contemporary tools and development practices.
Collaborate on applied projects
Tackle realistic computing challenges that reflect current industry expectations.
Advanced computer science practice
Complete advanced major and minor units
Engage with complex concepts and techniques that extend your expertise in your chosen discipline.
Apply knowledge in practice
Participate in capstone or professional practice experiences that simulate real workplace contexts.
Refine career-ready skills
Strengthen communication, teamwork and ethical awareness to graduate prepared for professional roles in computer science.
Course structure
To complete the Bachelor of Computer Science, students must attain 24 credit points, which must include the following:
- Sixteen (16) credit points of core units
- Two Minors (8 credit points)
- Completion of DAI001 Academic Integrity and Respect at Deakin (0-credit point compulsory unit)
- Completion of STP010 Career Tools for Employability (0-credit point compulsory unit)
- a maximum of 10 credit points at level 1
- a minimum of 14 credit points at levels 2 and 3
- a minimum of 6 credit points at level 3
Students are required to meet the University's academic progress and conduct requirements.
Are you a current student? For course information that applies to the year you started your degree, visit the handbook.
All students are required to meet the University's academic progress and conduct requirements
Units
You are required to complete 13 core units plus three credit points of capstone units (these are essential units for this degree).
In your first trimester you must also complete two 0-credit point units which are compulsory for this degree.
Year 1 - Trimester 1
Year 1 - Trimester 2
Year 1 - Trimester 3
Year 2 - Trimester 1
Plus two (2) minor units (two (2) credit points)
Year 2 - Trimester 2
Plus two (2) minor units (two (2) credit points)
Year 2 - Trimester 3
One (1) capstone unit (one (1) credit point)
Year 3 - Trimester 1
Three (3) minor units (three (3) credit points)
Plus one (1) capstone unit (one (1) credit point):
Year 3 - Trimester 2
Plus one (1) minor unit (one (1) credit point)
Plus one (1) capstone unit (one (1) credit point):
^ Offered in Trimester 1, Trimester 2, Trimester 3.
+ Students must have completed STP010 Career Tools for Employability (0-credit point compulsory unit) and SIT223 Professional Practice in IT.
# Corequisite of STP010 Career Tools for Employability (0-credit point compulsory unit).
You must complete two minor sequences:
Refer to the details of each minor sequence for availability.
What to expect while studying
This program, delivered by Deakin University and ERC Institute is an exciting partnership between two quality institutions. It provides an opportunity for international students to experience the best of Australian teaching and learning practices while based in Singapore. This course is not available to international students studying online or onshore at campuses in Australia.
The learning experiences and assessment activities within this course require that students have access to a range of technologies beyond a desktop computer or laptop. Students will be required to purchase minor equipment, such as small single board computers, microcontrollers and sensors, which will be used within a range of units in this course. This equipment is also usable by the student beyond their studies. Equipment requirements and details of suppliers will be provided on a per-unit basis. The indicative cost of this equipment for this course is AUD$500.
For information regarding hardware and software requirements, please refer to the Bring your own device (BYOD) guidelines via the School of Information Technology website in addition to the individual unit outlines in the Handbook.
You can expect to participate in a range of teaching activities each week. This could include lectures, seminars, practicals and online interaction. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.
When can I start?
When you study depends on your course, location and available intakes. Check the table to see when you can start and how study is offered throughout the year.
This course is intended for students studying onshore in Singapore, with located learning support provided by ERC Institute.
This course is not available to domestic and international students studying online or onshore at campuses in Australia.
Your course learning outcomes describe the knowledge, skills and capabilities you’ll develop and be able to demonstrate by the time you graduate. Built into your course through your units and assessments, they provide a clear picture of what you’ll be equipped to know, understand and do – preparing you to apply your learning with confidence beyond university.
| Course Learning Outcomes |
|---|
| Develop a broad, coherent knowledge of the computer science discipline, with detailed knowledge of the application of computer science methods and principles in modern computing systems. Use knowledge, skills, tools and methodologies for professional computer science practice. Design algorithms, system models, software components, computing systems and processes, to meet application requirements within realistic economic, environmental, social, political, legal and ethical constraints. |
| Communicate in a computer science context to inform, motivate and effect change by utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences. |
| Utilise a range of digital technologies and information sources to discover, analyse, evaluate, select, process and disseminate both technical and non-technical information. |
| Evaluate specialist computer science information using critical and analytical thinking, technical skills and well-developed judgement to identify problems, analyse requirements and propose solutions. |
| Apply theoretical constructs and skills and critical analysis to real-world and ill-defined problems and develop innovative computing solutions. |
| Apply knowledge and skills to new situations in professional practice and/or further learning in the field of computer science with adaptability, autonomy, responsibility and personal accountability for actions as a practitioner and a learner. Apply understanding of reflective practice and self-critique skills within broad parameters to plan for their own future continuing professional development. |
| Contribute effectively as a skilled and knowledgeable individual to the processes and output of a work unit or team. Work collaboratively in multi-disciplinary teams, employing effective communication, self- and team- management skills to achieve shared goals. |
| Apply professional and ethical standards and accountability for own learning to in the development, design, construction and management of localised computing solutions. |
- Award granted
- Bachelor of Computer Science
- Year
2027 course information
- Deakin code
- S306E
- Level
- Undergraduate
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 7
Fees
Please contact the ERC Institute for Bachelor of Computer Science fee information.
Scholarships
We want to help you excel at Deakin. Our scholarships recognise your dedication and achievements, providing financial support that can ease the cost of living and studying. With less pressure, you'll have more freedom to focus on what matters most – your education and future success.
Apply now
Apply through ERC Institute
Applications can be made directly to ERC Institute. For more information on the application process and closing dates, please contact ERC Institute directly by emailing enquiry@erci.edu.sg or call +65 6349 2727.
Recognition of prior learning
We value your previous study and experience. Recognition of prior learning enables you to get credit for what you've already achieved. When you apply, we'll consider your previous study and experience for recognition of prior learning.