Bachelor of Computer Science

Course information for - 2026 entry
International
  • Domestic
  • International

Offered at 1 locations
  • North Sydney

Duration
3 years full-time or equivalent part-time
CRICOS Code
118206F
Fees (first year)*
$39000
Start dates
February 2026, July 2026, February 2027, July 2027, February 2028, July 2028

Overview

Launch your tech career with a future-ready Bachelor of Computer Science that equips you with the skills and mindset to thrive in a rapidly evolving digital world.

This program builds strong foundations in programming, software development, cloud computing, and data analytics, while immersing you in cutting-edge technologies such as artificial intelligence, machine learning, digital twins, and quantum computing. You'll also explore the ethical and social dimensions of computing, with a strong emphasis on cybersecurity, digital trust, and responsible innovation.

Designed to go beyond technical mastery, the degree fosters critical thinking, adaptability, and leadership skills empowering you to drive innovation, solve complex challenges, and contribute to meaningful social impact across industries and communities.

Upon graduation, you’ll be well-positioned to excel in high-growth roles across the global tech landscape and make a difference through technology.

  • 1st for skills development for IT courses in Australia

  • 1st for learner engagement for IT courses in Australia

  • 1st for teaching quality for IT courses in Australia

Community engagement

As part of this degree, you’ll undertake a community engagement experience relevant to computer science. This unit is a transformational learning opportunity that engages you with communities experiencing disadvantage or marginalisation, for example by working with social enterprises or a not-for-profit organisation. It will allow you to explore your ethics and empathy, gain new perspectives, and apply digital literacies, communication skills, technical skills and judgement that contribute to both your personal and professional development. 

Careers

Graduates of the Bachelor of Computer Science are prepared for diverse and evolving roles, including:

  • Software & Application Developer
  • Artificial Intelligence & Machine Learning Engineer
  • Data scientist
  • Cybersecurity & Digital Trust Specialist
  • Data Analyst / Business Intelligence Analyst
  • Cloud Solutions Developer / Architect
  • IT Consultant / Systems Analyst
  • Emerging Technology Specialist
  • Digital Ethics or Technology Policy Advisor
  • User Experience (UX) Designer
  • Systems & Network Infrastructure Engineer

Course details

Course structure

Course map

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Please note: Course maps are subject to change.

Commencing Semester 1, 2026

  • Computer Science Specified UnitsCOMP110Introduction to Computer Science10 cp
  • Computer Science Specified UnitsITEC102Python Fundamentals For Data Science10 cp
  • Computer Science Specified UnitsMATH107Introduction to Logic and Algebra10 cp
  • 10 cp

Graduate statement

Insight

As an ACU computer science graduate you have personal insight founded on an understanding of who you are as a professional, a citizen and a scholar in a rapidly changing industry with increasing significance and impact in the community. You face the challenges presented to you in a constantly evolving sector and embrace change and growth through critical self-awareness and learning autonomy. You are empowered to seek truth and meaning, drawing on the principles of justice, equity, and the dignity of all human beings in developing computer and data systems which support a diverse range of organisational and community needs.

Empathy

As an ACU computer science graduate you value human dignity and diversity and maintain an awareness of the impact of your work on individuals and the community. This appreciation is founded on deep reflection, and empathy. You have experience of Indigenous Knowledges and Perspectives and can engage respectfully when working alongside Australia's First Peoples. You can connect with people and cultures and work to develop computer and data science innovations in ways that recognise a diverse range of lived experiences and worldviews. You value the dignity of the human person and all cultures in producing bespoke business solutions.

Imagination

As an ACU graduate you utilise imagination and innovation to solve problems within the field of computer science. You critically analyse information from a range of sources to creatively solve practical problems and use critical thinking to make decisions and advance the common good through the development of unique solutions. You appreciate the role of innovation and creative thinking in developing a better future for each person and community through your work in supporting a diverse range of business and community organisations.

Impact

As an ACU graduate you recognise your responsibility to work for social justice and a sustainable world founded on a commitment to human dignity and the common good. You lead change through respectful collaboration and effective communication of ideas to diverse peoples, groups and communities in local and global contexts. You are empowered to positively impact within the field of data and computer science. This has broad reach in supporting a critical element of the business of the vast majority of organisations within the community.

AQF framework

Bachelor - AQF Level 7

Entry requirements

Applicants must comply with the Admission to Coursework Programs Policy that includes meeting a minimum ATAR requirement.

International applicants need to meet the English Language Proficiency requirements as defined in the Admission to Coursework Programs Policy.


To be eligible for admission to the course, an applicant must have completed the following prerequisites at year 12 level, or equivalent:

StatePrerequisites

New South Wales

Assumed knowledge: English (Standard) (Band 2) or English as an Additional Language or Dialect (EALD) (Band 3).

Assumed knowledge: Mathematics Advanced.

Disclaimer: The course entry requirements above are for 2026 Admission. Refer to your relevant Tertiary Admission Centre website for future years' entry requirements.

Adjustment factors

If you’re currently completing Year 12 you may be eligible for adjustment factors that can boost your rank and help you get into your desired course.

Adjustment factors may be applied to your TAC application if you study particular subjects, attend schools geographically close to our campuses or in certain regional areas, apply as an elite athlete or performer or meet certain other criteria.

Learn more about adjustment factors

Inherent requirement

There are essential components of a course or unit that demonstrate the capabilities, knowledge and skills to achieve the core learning outcomes of that course or unit. You will need to be able to meet these inherent requirements to complete your course.

Learn more about inherent requirements for your course and how they affect you

Fees

Course costs

  • Unit fee: $4875
  • Average first year fee: $39000
  • Estimate total cost: $117000

Payment options

You should be able to concentrate on getting good marks instead of worrying about how you’ll pay your fees. We have a number of options that can help you ease the financial burden, including government assistance, scholarships and income support.

Explore your options

Scholarships

The University has allotted a total of 10 equity scholarships available for Computer Science students under the following categories:

 

The scholarships are valued at $3,000 each and will be assessed by a panel chaired by the Office of the Provost. Applicants are required to submit a short written statement addressing the selection criteria.

In addition, you could be eligible for one of the hundreds of scholarships we award each year to help students from across the university with the cost of studying, accommodation or overseas study opportunities. Some of our scholarships are awarded on the basis of merit, but these aren’t just for the academically gifted; ACU also recognises excellence in community engagement and leadership. We also offer a range of scholarships for those who may be struggling financially or who have faced other barriers to accessing education.

Search our scholarships

How to apply

International applicants

North Sydney

Apply through UAC

UAC code

Direct application

Apply now

Staff Profile

Associate Professor Eila Erfani

Associate Professor, Computer Science

Associate Professor Eila Erfani is the Program Director for the Computer and Data Science discipline at Australian Catholic University (ACU). She leads with a strong commitment to responsible innovation, high-impact research for social good, and future-focused teaching. Her work focuses on the ethical application of emerging technologies (e.g. AI) to address societal challenges and create meaningful human impact. Eila champions a user-centric approach to education that fosters both technical excellence and socially conscious, ethically grounded thinking.

Dr Mashud Rana

Senior Lecturer, Computer Science

Dr Mashud Rana is a Senior Lecturer in Computer Science at the Australian Catholic University (ACU), with expertise in artificial intelligence (AI), machine learning (ML), and data science. Prior to joining ACU, Dr Rana was a Senior Research Scientist at CSIRO’s Data61 (2018–2024), where he led several nationally significant, cross-disciplinary projects focused on applying AI/ML to address challenges in energy, health, and environmental systems. In early 2025, he served as Assistant Director (Data Science) at the Australian Government’s Asbestos and Silica Safety and Eradication Agency, where he played a key role in developing AI governance and analytics to support national policy and risk management. Earlier in his career, he held Research Fellowships positions at the University of New South Wales (2015–2016) and the University of Sydney (2016–2018).

Dr Rana completed his PhD in Computer Science from the University of Sydney. His research interests include deep learning for time series and sensor data analytics, interpretable ML, information fusion, and AI-enabled decision support systems. He is passionate about bridging academia and industry through translational and collaborative research that delivers real societal impact.

Good Universities Guide 2024, undergraduate students, computing and information technology field

Good Universities Guide 2024, undergraduate students, computing and information technology field

Good Universities Guide 2024, undergraduate students, computing and information technology field

 

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