Bachelor of Computer Science / Master of Data Science

Course information for - 2026 entry
Domestic
  • Domestic
  • International

Offered at 1 locations
  • North Sydney

Duration
4 years full-time or equivalent part-time
UAC code
110009
ATAR
N/A
Fees (first year)*

$10300 CSP

Start dates

Semester 1 intake: Beginning February 2026

Applications open April 2025

Midyear (Semester 2) intake: Beginning July 2026

Applications open April 2026

Overview

Accelerate your career with a future-focused double degree that combines a Bachelor of Computer Science and a Master of Data Science, completed in just four years full-time.

This unique program provides strong technical foundations in software development, data analytics, programming, machine learning, and cloud computing, while immersing you in emerging technologies such as artificial intelligence, digital twins, and quantum computing. You’ll also develop expertise in responsible innovation, with a strong emphasis on cybersecurity, digital trust, and the ethical design of technology.

Beyond technical excellence, the program fosters the professional capabilities needed to lead in complex, dynamic environments, contribute to your community, and influence positive change.

Upon graduation, you’ll be equipped to lead innovation, solve complex challenges, and thrive in high-growth roles across the global tech landscape. You’ll also be empowered to develop solutions that address real-world problems and deliver meaningful social impact across industries and communities.

  • 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

Three people gathered around a computer, smiling and learning

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

You’ll graduate ready for a range of career opportunities, including:

  • Software & Application Developer
  • Artificial Intelligence & Machine Learning Engineer
  • Cybersecurity & Digital Trust Specialist
  • Data Scientist / Data Analyst
  • Cloud Solutions Architect
  • IT Strategy & Innovation Consultant
  • Digital Ethics or Tech Policy Advisor
  • User Experience (UX) Designer
  • Systems & Network Infrastructure Architect
  • Game or Simulation Developer
  • Digital Product Manager
  • Tech-for-Good / Social Impact Technologist

Course details

Course structure

Course map

Open all

Please note: Course maps are subject to change.

Commencing Semester 1, 2024

  • 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
  • Elective 1

Graduate statement

Insight

As an ACU computer science/ data 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/ data 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 and data 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/Masters - AQF Level 7/9

Exit Points

A student who has successfully completed the Bachelor of Computer Science requirements (A-D) may exit from that qualification. 

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.

Applicants with higher education study

You will need to meet the minimum entry requirements and subject prerequisites for your chosen course. 

If you have completed at least two units of AQF-recognised study at bachelor level or above, we’ll assign you with a new selection rank that reflects your study level, duration, and grade point average.

If your prior study or relevant work experience has provided you with knowledge, skills or experience aligned with the learning outcomes of units in your new course, you may be eligible to gain credit for study or have your prior learning recognised. This means you may be able to complete your ACU course in a shorter timeframe.

You can use our credit search tool to see what you might be eligible for. For more information about credit and recognition of prior learning at ACU, follow the link below.

Search our credit database

Learn more about recognition of prior learning

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

Average first year fee*

$10300 CSP

*This is an indicative first-year fee based on the tuition fee rates for a full-time student, using unit enrolment data from domestic students who studied the course in the previous year.

A student’s annual fee will vary depending on factors including:

  • Number of units studied per year
  • Choice of major or specialisation
  • Elective units

The University reviews fees annually.

You can view current course costs and domestic tuition fee rates by unit.

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

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

Domestic applicants

Deferment

Deferment is available for one year. Find out more about deferment: Deferment Information.

Staff Profile

Associate Professor Eila Erfani

Program Director for the Computer and Data Science

Associate Professor Eila Erfani is the Program Director for the Computer and Data Science discipline at Australian Catholic University. 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.

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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