Bachelor of Data Science - Royal Melbourne Institute of Technology (RMIT) · Melbourne City
Bachelor of Data Science at Royal Melbourne Institute of Technology (RMIT) — a 3-year, full-time bachelor degree at the Melbourne City campus in Australia. Build practical skills to analyse and manage big data, then specialise through majors in Advanced Data Science, Cyber Security, or Enterprise Systems Development. International students from Malaysia and across Asia can apply for February and July intakes.
Indicative total fees are AU$ 135,430 (tuition + application fee), with live AUD to MYR conversion in the fee breakdown below. Figures are illustrative — your final amount follows Royal Melbourne Institute of Technology (RMIT)’s official fee schedule for your intake year.
RMIT is ranked in the top 100 universities globally and #7 in Australia for Data Science & Artificial Intelligence. Work-integrated learning, capstone projects, and programming bootcamps and studios help you put theory into practice with industry-aligned experience.
What you will study: a shared data science core with Python bootcamps and studios, practical statistics, AI foundations, data visualisation with R, big data processing, machine learning, data mining, and a data science project — plus a major, optional minors (including AI, cloud, blockchain, and cross-disciplinary options), and a university elective.
Entry requirements: pathways include ATAR 70.20, UEC 2.2 / B4, STPM GPA 2.33, A Levels 7 points (three subjects), and IB Diploma 25. A maths prerequisite applies (VCE Units 3 and 4 study score of at least 20 in General Mathematics, Mathematical Methods, or Specialist Mathematics, or equivalent). English proficiency such as IELTS 6.5 overall (no band below 6.0) is required. Scholarships are assessed case by case — contact our advisors for guidance.
Career outcomes include Analytics Specialist, Business Intelligence Developer, Data Analyst, Data Architect, Data Engineer, Data Miner, Data Scientist, Machine Learning Engineer, Programmer, Research Data Scientist, and Web Analyst.
Study at RMIT’s Melbourne City campus — a STEM and computing hub in central Melbourne. Plan to apply at least three months before your course start; allow about one month for your offer letter and sufficient time to lodge your Australian student visa before you travel.
E-Square provides free one-to-one counselling for Royal Melbourne Institute of Technology (RMIT) applications: document checklists, personal statement and visa guidance, fee and living-cost planning (including the Australian Government’s AUD 30,000 per year living-cost benchmark for international students), and WhatsApp follow-up from first enquiry to enrolment.
Why this course & university?
Top 100 in the world · #7 in Australia
QS Data Science & Artificial Intelligence ranks RMIT in the top 100 universities globally and #7 in Australia.
Industry-connected teaching
Engage with leading academics, teachers, guest lecturers, and subject matter experts with strong industry connections.
Work-integrated learning & studios
Gain in-demand skills through work-integrated learning, capstone projects, and programming bootcamps and studios.
Analyse & manage big data
Develop your ability to analyse and manage big data from various sources, evaluating insights and solutions that organisations can act on.
About the Campus
Bachelor of Data Science at Royal Melbourne Institute of Technology (RMIT) is taught at the Melbourne City campus — a STEM and computing hub with industry partners, collaborative studios, and a practice-focused environment for data science, analytics, cyber, and systems careers.
Available Majors & Minors
The Bachelor of Data Science at RMIT Melbourne City offers three majors plus specialist and cross-disciplinary minors. Select a group to view options and related QS subject rankings.
Majors
- Advanced Data ScienceTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- Cyber SecurityTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- Enterprise Systems DevelopmentTop 100 world · #7 AustraliaData Science & Artificial Intelligence
Minors
- Artificial Intelligence & Machine LearningTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- Blockchain TechnologiesTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- Cloud ComputingTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- Creative ComputingTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- Cyber AssuranceTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- Enterprise Systems DevelopmentTop 100 world · #7 AustraliaData Science & Artificial Intelligence
Cross-disciplinary minors
- Design & Develop for Apple PlatformTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- BioinformaticsTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- Data AnalysisTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- Digital InnovationTop 100 world · #7 AustraliaData Science & Artificial Intelligence
- Artificial Intelligence in PracticeTop 100 world · #7 AustraliaData Science & Artificial Intelligence
Entry Requirements
Minimum academic requirements vary by qualification. Select your pathway below. English test scores are in the next section; for scholarships, see Contact Us.
Prerequisites: Victorian Certificate of Education (VCE) Units 3 and 4 — a study score of at least 20 in one of Maths: General Mathematics, Maths: Mathematical Methods, or Maths: Specialist Mathematics (or equivalent).
English Language Requirements
Is this course for you?
Scholarships
Scholarship and bursary options for this degree programme depend on your intake and academic profile. Contact us and we’ll check eligibility with Royal Melbourne Institute of Technology (RMIT).
Fee estimate (AUD → RM)
Core fees are shown in Australian dollars (AUD). Ringgit (MYR) equivalents use a live AUD/MYR rate. Figures are illustrative only. Royal Melbourne Institute of Technology (RMIT) typically reviews tuition each year; expect an estimated 5–10% annual increase — always use the latest official tuition on your offer or fee schedule.
Tuition fee breakdown
Indicative totals above are not a quote. Tuition and related fees follow the Royal Melbourne Institute of Technology (RMIT)’s current published schedule for your intake year. For scholarships, contact us. MYR equivalents use the live rate shown above.
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E-Square has helped students secure over RM50 Million in scholarships.
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Programme Structure
The Bachelor of Data Science is completed over 3 years of full-time study at the Melbourne City campus, with February and July intakes. Expand each section for core subjects, majors, minors, and electives.
The Bachelor of Data Science at RMIT Melbourne City begins with a shared core that builds confident foundations for every major pathway. You progress from Python programming bootcamps and studios through practical statistics, artificial intelligence foundations, practical data science, advanced programming for data science, cyber security essentials, data visualisation with R, the data science professional, big data processing, case studies, software engineering project management, a data science project, machine learning, and data mining. Together these subjects prepare you to specialise in Advanced Data Science, Cyber Security, or Enterprise Systems Development with clarity, collaborate across teams, and deliver insights that stand up in real data-driven workplaces.
- Python Programming Bootcamp
- Python Programming Studio
- Practical Statistics
- Foundations of Artificial Intelligence
- Practical Data Science
- Advanced Programming for Data Science
- Introduction to Cyber Security
- Data Visualisation with R
- The Data Science Professional
- Big Data Processing
- Case Studies in Data Science
- Software Engineering Project Management
- Data Science Project
- Machine Learning
- Data Mining
The Advanced Data Science major deepens theory and applied analytics beyond the shared core so you can tackle complex data, algorithms, and intelligent systems challenges. Selective study spans algorithms and analysis, software engineering fundamentals for IT, database applications, social media and network analytics, managing semi-structured and unstructured data, artificial intelligence, cloud computing, operating systems principles, and deep learning. You shape depth across AI, systems, and analytics while staying aligned with RMIT’s Data Science & Artificial Intelligence strengths. Graduates leave ready for data scientist, analytics, and engineering roles that demand rigorous modelling and systems thinking in Melbourne and beyond.
Selective
- Algorithms and Analysis
- Software Engineering Fundamentals for IT
- Database Applications
- Social Media and Networks Analytics
- Managing Semi-Structured and Unstructured Data
- Artificial Intelligence
- Cloud Computing
- Operating Systems Principles
- Deep Learning
The Cyber Security major prepares you to protect systems, networks, and digital services in an environment where threats evolve constantly. Building on core cyber essentials, you study data communication and net-centric computing, security in computing and IT, security testing, cybersecurity governance, attack analysis and incident response, secure electronic commerce, cloud security, blockchain applications and fundamentals, and computer and internet forensics. Selective subjects let you emphasise defence, governance, cloud, or forensic pathways while meeting course rules. The major suits students aiming for security-aware data roles, secure development careers, and graduate pathways that value both technical depth and responsible security practice alongside data science skills.
Selective
- Data Communication and Net-Centric Computing
- Security in Computing and Information Technology
- Security Testing
- Introduction to Cybersecurity Governance
- Cyber Security Attack Analysis and Incidence Response
- Secure Electronic Commerce
- Cloud Security
- Developing Blockchain Applications
- Blockchain Technology Fundamentals
- Computer and Internet Forensics
The Enterprise Systems Development major focuses on building reliable, scalable software for organisations — from web and mobile products to enterprise applications and IoT. You extend core programming into further programming, algorithms and analysis, full stack development, software testing, database applications, web technologies, iPhone software engineering, software engineering process and tools, programming Internet of Things, systems architecture and design, usability engineering, software requirements engineering, enterprise application development, and mobile application development. Core major subjects let you balance front-end, back-end, architecture, and quality engineering while staying within the Bachelor of Data Science framework. Graduates are prepared for programmer, full-stack, and related enterprise delivery roles that sit alongside analytics and data engineering careers.
Core
- Further Programming
- Algorithms and Analysis
- Full Stack Development
- Software Testing
- Database Applications
- Web Development Technologies
- iPhone Software Engineering
- Software Engineering: Process and Tools
- Programming Internet of Things
- Systems Architecture and Design
- Usability Engineering
- Software Requirements Engineering
- Enterprise Application Development 1
- Mobile Application Development
Minors sit inside the Bachelor of Data Science programme structure so you can broaden your profile without treating electives as a separate marketing block. Choose from specialist pathways such as Artificial Intelligence & Machine Learning, Blockchain Technologies, Cloud Computing, Creative Computing, Cyber Assurance, and Enterprise Systems Development, plus cross-disciplinary options including Design & Develop for Apple Platform, Bioinformatics, Data Analysis, Digital Innovation, and Artificial Intelligence in Practice. Advisors help you sequence credit points and prerequisites around February or July intakes so a minor strengthens your major story and does not delay graduation from this three-year Melbourne City degree. Confirm subject availability each year when you plan enrolment.
- Artificial Intelligence & Machine Learning
- Blockchain Technologies
- Cloud Computing
- Creative Computing
- Cyber Assurance
- Enterprise Systems Development
- Design & Develop for Apple Platform
- Bioinformatics
- Data Analysis
- Digital Innovation
- Artificial Intelligence in Practice
A university elective sits inside the Bachelor of Data Science structure so you can sample a subject beyond your core, major, and minor while still meeting course rules. Electives are not presented as a separate majors panel on this page; they are chosen during subject planning with your advisor. Balance credit points, prerequisites, and major selective timing so the elective strengthens rather than delays your path to graduation at RMIT Melbourne City across February or July intake plans. Use the elective to explore an adjacent interest — for example design, business, or another STEM area — without replacing required data science learning outcomes.
- University Elective
Future Career Prospects
- Analytics Specialist
- Business Intelligence Developer
- Data Analyst
- Data Architect
- Data Engineer
- Data Miner
- Data Scientist
- Machine Learning Engineer
- Programmer
- Research Data Scientist
- Web Analyst
Estimated application deadline
Royal Melbourne Institute of Technology (RMIT) offers February and July intakes for this degree. Plan to apply at least 3 months before your classes start — earlier is better for international students.
Illustrative planning window — confirm your intake’s exact closing date with us or the university.
Illustrative planning window — confirm your intake’s exact closing date with us or the university.
Timing varies by document completeness; we help you submit a complete file the first time.
Start your Australian student visa once you have your offer — do not wait until the last minute. We guide timeline and documents.
Official source: Intake dates and closing deadlines are set by Royal Melbourne Institute of Technology (RMIT) and may change. Always verify on the official application channel before you commit.
Melbourne monthly living expenses
Live rate (same as Fee estimate): 1 AUD = — MYR
Application
How to Apply
Planning Bachelor of Data Science at Royal Melbourne Institute of Technology (RMIT) is easier with a clear timeline and checklist. Our consultants help you align documents with your February or July intake and university deadlines.
Apply with expert guidance
Once your budget pathway and entry route are clear, we guide you through each submission step — from academic proofs to study-grant checks.
Get started now-
Application timelineWe map milestones to your intake so documents go in before internal cut-offs.
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Documents & reviewWe checklist transcripts, IDs, English proofs, and programme-specific items — then sanity-check before upload.
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End-to-end supportForms, fee awareness, submission tracking, and scholarship pointers — from first enquiry to follow-up with the university where needed.
FAQ
- When should I start?
- Aim to reach out at least 3 months before your target intake (February or July) so English tests, transcripts, offer processing, and your visa can be lined up in time.
- Do I apply to Royal Melbourne Institute of Technology (RMIT) directly?
- You apply to Royal Melbourne Institute of Technology (RMIT) for this degree. E-Square helps you prepare documents, personal statement, and track your application.
- Is counselling really free?
- Yes — E-Square’s advisory for this pathway is free; tuition and fees are billed by the university according to your offer.
Note: Student advisory through E-Square is free. Contact us early — ideally three months ahead of the deadline — so your timeline stays relaxed.
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