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Bachelor of Data Science | Swinburne University of Technology
Category: Degree
Specifications
省份/城市
Australia
授课语言
English
课程领域
Computer
课程
Degree
国家
Australia
骞村害瀛垂
Between RM 100k - 150k
开课
Feb
开课
Jul
Details
Bachelor of Data Science - Swinburne University of Technology · Hawthorn, Australia
Duration
3 Years
Mode
Physical
Campus
Hawthorn
Medium
English
Intake
Feb, Jul
Bachelor of Data Science at Swinburne University of Technology is a 3-year data science degree at the Hawthorn (Melbourne) campus. Combines programming, data science principles, big data, cloud computing, and data visualisation to prepare you for data scientist, analyst, and infrastructure architect roles.
Progress from programming and computer systems through database design, big data architecture, and capstone computing technology projects. Study at a university with THE Business and Economics top 300 strength and a business school among the top 5% worldwide (AACSB accredited).
Swinburne ranks #1 in Melbourne for student support and #1 in Melbourne for graduate salary one year out, with industry-linked projects and hands-on data science training across three years of study.
Indicative total fees are AU$ 133,530 (AU$ 133,530 tuition + AU$ 0 application fee), with live AUD to MYR conversion in the fee breakdown below.
Entry requirements typically include ATAR 70, UEC average of 5 from the best five subjects, STPM GPA 2.42 in the best three subjects, and A Levels score of 6 from the best three H2 subjects. IELTS 6.0 overall with no band less than 6.0 is required.
Prerequisites include VCE-equivalent Mathematics and English study. Career outcomes include data scientist, data analyst, business intelligence developer, and data infrastructure architect roles.
Study at Hawthorn (Melbourne). Plan to apply at least three months before your February or July course start.
E-Square provides free one-to-one counselling for Swinburne University applications.
Why this course & university?
Top 200 worldwide · Top 15 in Australia · Computer Science
Swinburne ranks in the top 200 worldwide and among the top 15 in Australia for Computer Science in major world university rankings by subject, reflecting strong teaching and research in data science and computing.
Top 5% business schools worldwide
Study at a university with a business school ranked among the top 5% of the world’s higher education business schools, with AACSB accreditation and industry-aligned data science curriculum.
Top 300 Business and Economics
Swinburne ranks in the top 300 worldwide for Business and Economics in Times Higher Education World University Rankings by Subject, supporting data careers with strong analytical and organisational foundations.
#1 Melbourne for student support
Swinburne ranks #1 in Melbourne for student support, with dedicated services, academic advising, and career resources to help you succeed from enrolment through graduation.
#1 Melbourne graduate salary
Swinburne ranks #1 in Melbourne for graduate salary one year out, reflecting strong employer recognition and career outcomes for data science and technology graduates.
About the Campus
Entry Requirements
Minimum scores are shown on each card. Tap the grey on each card for score details.
UEC
Average 5 (best 5)
Average of best five subjects: 5 calculated from your best five academic UEC subjects.
STPM
GPA 2.42 (best 3)
Minimum GPA of 2.42 overall in the best three academic STPM subjects.
A Levels
Score 6 (best 3)
Three H2 subjects with a minimum score of 6 overall from the best three A Level subjects, where A=5, B=4, C=3, D=2, E=1.
ATAR
70
Indicative minimum ATAR 70 (or equivalent Australian Year 12) for entry; competitive courses may require higher scores.
Other Qualifications
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Prerequisites
Mathematics
VCE Units 1 and 2: satisfactory completion in two units (any study combination) of any Mathematics, or equivalent.
English
VCE Units 3 and 4: a minimum study score of 20 in any English (except EAL) or 25 in English as Alternate Language (EAL), or equivalent.
English Language Requirements
IELTS (Academic)
Overall 6.0; no individual band below 6.0.
TOEFL iBT
64 overall (no less than 13 reading, 12 listening, 18 speaking, 21 writing).
PTE Academic
50 overall; no communicative skill less than 50.
Cambridge (C1 Advanced or C2 Proficiency)
169 overall; no band less than 169.
Michigan English Test (MET)
53 overall (no less than 55 reading, 56 listening, 48 speaking, 57 writing).
Is this course for you?
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Scholarship options for this degree programme depend on your intake and academic profile. Contact us and we’ll check eligibility with Swinburne University of Technology.
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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. Swinburne University of Technology 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
Tuition fee
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Application Fee
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Indicative total payable
AU$ 133,530
Indicative total payable
Indicative totals above are not a quote. Tuition and related fees follow Swinburne University of Technology’s current published schedule for your intake year. For scholarships, contact us. MYR equivalents use the live rate shown above.
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Programme Structure
The Bachelor of Data Science is completed over 3 years of full-time study at Hawthorn (Melbourne), with February and July intakes. Core and major units progress from programming and data principles through big data, visualisation, and capstone computing projects. Expand each section for indicative units and codes.
Year 1 — Semester 1
Year 1 Semester 1 introduces programming, Indigenous technology context, networking, and data science principles. You will build foundational coding, systems, and analytical skills establishing the technical competencies expected in Swinburne’s Data Science program from your first semester. You will develop programming, analytical, and data engineering skills through labs, projects, and assessments that prepare you for data scientist, analyst, and infrastructure architect roles across Australia and internationally, supported by Swinburne’s industry-linked data science curriculum.
- Introduction to Programming (COS10009) — Core, 12.5 cp
- Technology in an Indigenous Context Project (COS10025) — Core, 12.5 cp
- Networks and Switching (TNE10006) — Core, 12.5 cp
- Data Science Principles (COS10022) — Major, 12.5 cp
Year 1 — Semester 2
Year 1 Semester 2 covers computer systems, web technology projects, and object-oriented programming. You will apply software development and systems knowledge to data-focused applications, preparing for database design and big data units in year two. You will develop programming, analytical, and data engineering skills through labs, projects, and assessments that prepare you for data scientist, analyst, and infrastructure architect roles across Australia and internationally, supported by Swinburne’s industry-linked data science curriculum.
- Computer Systems (COS10004) — Core, 12.5 cp
- Web Technology Project (COS10026) — Core, 12.5 cp
- Object Oriented Programming (COS20007) — Core, 12.5 cp
Year 2 — Semester 1
Year 2 Semester 1 develops database design project skills alongside three electives. You will learn to model, store, and query data at scale while tailoring your degree through elective units aligned with your career interests in analytics or engineering. You will develop programming, analytical, and data engineering skills through labs, projects, and assessments that prepare you for data scientist, analyst, and infrastructure architect roles across Australia and internationally, supported by Swinburne’s industry-linked data science curriculum.
- Database Design Project (COS20031) — Major, 12.5 cp
- Elective unit
- Elective unit
- Elective unit
Year 2 — Semester 2
Year 2 Semester 2 covers cloud computing architecture, big data architecture and applications, and a computing technology innovation project. You will design scalable data pipelines and apply cloud platforms valued by employers in data engineering and analytics roles. You will develop programming, analytical, and data engineering skills through labs, projects, and assessments that prepare you for data scientist, analyst, and infrastructure architect roles across Australia and internationally, supported by Swinburne’s industry-linked data science curriculum.
- Cloud Computing Architecture (COS20019) — Major, 12.5 cp
- Big Data Architecture and Application (COS20028) — Major, 12.5 cp
- Computing Technology Innovation Project (COS30049) — Major, 12.5 cp
Year 3 — Semester 1
Year 3 Semester 1 begins Computing Technology Project A with data visualisation, software architectures, and an elective. You will integrate analytical storytelling, system design, and project work building portfolio evidence for graduate data roles. You will develop programming, analytical, and data engineering skills through labs, projects, and assessments that prepare you for data scientist, analyst, and infrastructure architect roles across Australia and internationally, supported by Swinburne’s industry-linked data science curriculum.
- Computing Technology Project A (COS40005) — Core, 12.5 cp
- Data Visualisation (COS30045) — Major, 12.5 cp
- Software Architectures and Design (SWE30003) — Major, 12.5 cp
- Elective unit
Year 3 — Semester 2
Year 3 Semester 2 completes Computing Technology Project B with software deployment and evolution. You will graduate with capstone project experience deploying and maintaining data-driven software systems in realistic industry scenarios. You will develop programming, analytical, and data engineering skills through labs, projects, and assessments that prepare you for data scientist, analyst, and infrastructure architect roles across Australia and internationally, supported by Swinburne’s industry-linked data science curriculum.
- Computing Technology Project B (COS40006) — Core, 12.5 cp
- Software Deployment and Evolution (SWE40006) — Major, 12.5 cp
Future Career Prospects
Main Directions
- Data Scientist
- Data Analyst
- Business Intelligence Developer
- Data Infrastructure Architect
Estimated application deadline
Swinburne University of Technology offers February and July intakes for this degree. Plan to apply at least 3 months before your classes start.
February · July intakes
Apply at least 3 months before course start
Exact dates vary by year and campus; apply early to secure your place, arrange your visa, and organise accommodation. Confirm with Swinburne or our advisors.
Student visa
Apply well before you travel
Start your Australian student visa once you have your offer. We guide timeline and documents.
Official source: Intake dates are set by Swinburne University of Technology and may change.
Melbourne monthly living expenses
Estimates for studying in Melbourne (Hawthorn) (monthly). Actual spending depends on your location, room type, transport needs, and lifestyle. The bands below provide a practical student budget split across rent, food, public transport, mobile, and personal spending. Figures are in AUD first, with MYR from the same live rate as the fee section.
Live rate (same as Fee estimate): 1 AUD = — MYR
Accommodation / month
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Food & groceries
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Total (monthly, indicative · ~AUD 31,080/year benchmark)
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Application
How to Apply
Planning Bachelor of Data Science at Swinburne University of Technology is easier with a clear timeline and checklist. Our consultants help you align documents with your February or July intake and university deadlines.
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Once your budget pathway and entry route are clear, we guide you through each submission step — from academic proofs to study-grant checks.
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Application timelineWe map milestones to your intake so documents go in before internal cut-offs.
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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 chosen intake so English tests, transcripts, offer processing, and your visa can be lined up in time.
- Do I apply to Swinburne University of Technology directly?
- You apply to Swinburne University of Technology 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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