Master of Data Science Swinburne

Master of Data Science (CRICOS 099117B) - Swinburne University of Technology

Master of Data Science (CRICOS course code 099117B) is a Masters Degree (Coursework) delivered by Swinburne University of Technology over 2 years. This program is designed for graduates seeking advanced skills in data analysis, machine learning, and statistical modelling to solve complex real-world problems. As a CRICOS-registered course (provider code 00111D), it meets Australian standards for international students and is protected under the ESOS Act. Swinburne University, based in Hawthorn, Victoria, is a government-funded institution with a strong reputation for technology and innovation. With over 1,500 CRICOS-registered providers offering more than 26,000 courses across Australia, this degree stands out in the competitive field of Information Technology, specifically Computer Science (020100). Students will gain expertise in handling large datasets, developing algorithms, and communicating data-driven insights—skills highly sought after in industries from finance to healthcare. The course is taught in English and requires an IELTS score of 6.5-7.0 overall. For tuition and fees, please refer to the provider's website, as figures quoted are indicative and subject to change. HeadStart Academy provides this information as a free resource, sourced from the official CRICOS register (April 2026).

All listed providers are CRICOS-registered with the Australian Government
Data sourced directly from the official CRICOS register (April 2026)
Free resource — no commission, no referral fees
Covers 26,433 courses across all study levels and states
MetricValue

Course Overview

Master of Data Science (CRICOS course code 099117B) is a Masters Degree (Coursework) delivered by Swinburne University of Technology over 2 years. Classified under the field of Computer Science (020100), this AQF Level 9 qualification equips students with advanced theoretical and practical knowledge in data science. The program is registered on the Commonwealth Register of Institutions and Courses for Overseas Students (CRICOS), ensuring it meets Australian quality standards for international education. Swinburne University of Technology (CRICOS 00111D) is a public university with a strong focus on industry engagement and research. The course is delivered at the Hawthorn Campus in Melbourne, Victoria—a city with over 200,000 international students from 170+ countries. As an ESOS-protected course, students have legal rights including access to tuition fee protection and transparent grievance processes. HeadStart Academy notes that all data is sourced from the official CRICOS register (April 2026) and that this is a free resource with no referral fees.

What You'll Study

The Master of Data Science covers core topics in computer science, including data mining, machine learning, big data analytics, and statistical modelling. Students develop skills to extract insights from complex datasets, build predictive models, and implement data-driven solutions. The curriculum typically includes programming (Python, R), database management, data visualisation, and ethical considerations in AI. Graduates at this level are prepared for roles such as data scientist, data analyst, business intelligence manager, or machine learning engineer. The course is designed for those with a prior bachelor's degree, often in a quantitative field. While specific syllabus details may vary, the field of education (Computer Science) ensures a strong foundation in both theory and practice. Swinburne's industry connections may offer opportunities for real-world projects and networking.

Duration and Study Mode

According to the CRICOS register, the Master of Data Science has a duration of 2 years (104 weeks). The course is delivered in English and is a single qualification (no dual degree). Full-time study is expected, aligning with standard student visa conditions. The language of instruction is English, so students must demonstrate proficiency through an approved test (e.g., IELTS). This duration allows students to immerse themselves in the subject and also meet the Australian study requirement for post-study work rights. The course is non-VET, so no VET national code applies. Foundation studies are not included; students are expected to meet entry requirements directly. HeadStart Academy recommends checking the provider's website for any variations in study modes (e.g., part-time options for domestic students) but international students typically study full-time.

Fees (Indicative)

The indicative tuition fee for the Master of Data Science is A$90,020 total (set by Swinburne University of Technology). Non-tuition fees are listed as A$0, but this may not include costs like materials or student services. The estimated total is A$90,020, but this does NOT include Overseas Student Health Cover (OSH C), living expenses, or the student visa application charge. As a guide, living costs in Melbourne for a single student are approximately A$30,000 per year (including rent, food, and transport). Rent for a one-bedroom apartment near campus averages A$400-$600 per week. Always confirm fees with the provider, as they are subject to change. HeadStart Academy sources fee data from the CRICOS register (April 2026) and reminds students to budget for additional costs. Use the provider's website for the most current fee schedule.

Entry Requirements (General Guidance)

Entry to the Master of Data Science typically requires an IELTS overall score of 6.5-7.0 (no band below 6.0) or equivalent English proficiency. Applicants should hold a bachelor's degree in a relevant field (e.g., computer science, mathematics, statistics) with a strong academic record. Swinburne may consider professional experience for some applicants. Foundation or pathway programs are not part of this course; however, Swinburne offers Pre-Masters programs for students who need to meet academic or English entry requirements—check with the provider. All entry requirements are set by the institution and subject to change. International students must satisfy the Genuine Temporary Entrant (GTE) criterion for their student visa. HeadStart Academy advises consulting Swinburne's international admissions page for detailed entry conditions.

Work Component

This course does not include a mandatory work component. Students may still seek part-time work during their studies, subject to visa conditions. The Student Visa (Subclass 500) allows work up to 48 hours per fortnight during term and unlimited hours during scheduled breaks. Industrial training or internships are not built into the curriculum, but Swinburne may offer optional placement opportunities. Students should note that work is not a requirement for course completion. The absence of a work component means the program focuses entirely on academic study.

Delivery Locations

The Master of Data Science is delivered at Hawthorn Campus, John Street, Hawthorn, VIC 3122. This is Swinburne University's main campus, located in a lively inner-city suburb of Melbourne. Hawthorn is well-connected by public transport (train, tram, bus) and is about 5 km from Melbourne's central business district. Melbourne is home to over 200,000 international students from 170 countries, with a thriving arts and food scene. The campus provides modern facilities, libraries, and computer labs. Students can access support services including academic skills centres, health services, and career counselling. The location offers a vibrant student lifestyle with numerous cafes, parks, and accommodation options.

Student Visa

International students must hold a Student Visa (Subclass 500) to study this course full-time in Australia. Key visa requirements include: meeting the Genuine Temporary Entrant (GTE) criterion, maintaining Overseas Student Health Cover (OSH C) for the duration of stay, and demonstrating sufficient financial capacity (tuition, living costs, and travel). As of 2026, living costs are estimated at A$21,041 per year for a single student, plus course fees. Students can work up to 48 hours per fortnight during term and unlimited hours during scheduled holidays. Visa conditions also require 80% attendance and satisfactory course progress. HeadStart Academy is not a migration agent; for personalised advice, consult a registered MARA agent or visit homeaffairs.gov.au. All courses listed on HeadStart Academy are CRICOS-registered, ensuring compliance with Australian education standards.

How to Apply

1. Research CRICOS-registered providers: Swinburne University of Technology is registered under CRICOS 00111D. Compare this Master of Data Science with similar courses across Australia on HeadStart Academy's directory. 2. Apply directly to your chosen institution: Check entry requirements, English test scores, and application deadlines on Swinburne's international website (swinburne.edu.au/international). Submit your application online with supporting documents (transcripts, CV, English test results, personal statement). 3. Receive your Confirmation of Enrolment (CoE) and apply for your Student visa (Subclass 500): Once accepted, Swinburne will issue a CoE. Use this to apply for your student visa through the Department of Home Affairs. Remember to arrange OSH C and prove financial capacity. HeadStart Academy provides this guidance as a free resource.

Is Melbourne Right for You?

Melbourne is Australia's second-largest city and a top study destination, consistently ranked among the world's most liveable cities. It has a multicultural population, excellent public transport (trams, trains, buses), and a strong job market in tech and data science. The cost of living is moderate compared to Sydney: indicative weekly rent for a share house is A$250-$400 for a room, groceries A$80-$150, and a monthly transport pass A$150. Melbourne has over 10 public universities and many private providers, giving students ample choice. The city is known for its coffee culture, festivals, and sports events. However, students should consider their personal preferences: Melbourne has a cooler climate and a busy urban pace. For data science students, Melbourne's growing tech hub offers networking opportunities with companies like ANZ, Telstra, and startups at co-working spaces. HeadStart Academy notes that Melbourne is home to over 400 CRICOS-registered providers, making it a competitive but rewarding study destination.

Ready to start your study journey? Explore the Master of Data Science at Swinburne University of Technology and take the first step.

Other courses at Swinburne University of Technology

View the full Swinburne University of Technology profile →

Similar Masters Degree (Coursework) courses in Victoria

All Masters Degree (Coursework) courses in Victoria →

Source-backed course facts

Master of Data Science is a CRICOS-registered programme at Swinburne University of Technology. Use this register extract [CRICOS register, Apr 2026] to cross-check codes, duration and indicative fees before you apply.

CRICOS register extract

Course
Master of Data Science
CRICOS course code
099117B
Provider
Swinburne University of Technology (00111D)
Course level
Masters Degree (Coursework)
Field of education
02 - Information Technology
Duration
104 weeks
Tuition (indicative)
A$90,020
Estimated total (indicative)
A$90,020
Delivery locations
HAWTHORN
Work component
No

This page is general information only and not migration advice. Confirm Student visa (Subclass 500) requirements with the Department of Home Affairs.

Important notes for international students

  • Tuition and living-cost figures on this site are indicative only — confirm current fees with the provider before you accept an offer.
  • HeadStart Academy is not a registered migration agent and does not provide immigration advice. For Student visa (Subclass 500) rules, OSHC and financial capacity, verify with the Department of Home Affairs or a registered MARA agent.
  • Only CRICOS-registered providers may enrol overseas students. Always check the CRICOS course and provider codes on your offer and Confirmation of Enrolment (CoE).

Related pages

Frequently Asked Questions

The indicative tuition fee for the Master of Data Science (099117B) at Swinburne is A$90,020 total, as per the CRICOS register (April 2026). Non-tuition fees are listed as A$0, but this may not cover ancillary costs. This amount does not include Overseas Student Health Cover (OSHC), living expenses (approximately A$30,000 per year in Melbourne), or visa application charges. Fees are set by the institution and subject to change—always verify with Swinburne's official website.
The Master of Data Science at Swinburne is a 2-year program (104 weeks) on the CRICOS register. It is a full-time Masters Degree (Coursework) with no part-time option for international students under standard visa conditions. The duration meets the Australian study requirement for post-study work rights. Students are expected to complete the course within the scheduled timeframe.
Entry typically requires an IELTS overall score of 6.5-7.0 (no band below 6.0) or equivalent. Applicants need a bachelor's degree in a relevant field (e.g., computer science, mathematics, statistics) with a strong academic record. Swinburne may consider relevant work experience or a Graduate Certificate. No foundation studies are included, but Pre-Masters options may be available. Check Swinburne's website for exact requirements, as they may change.
This course is delivered at Swinburne's Hawthorn Campus, located at John Street, Hawthorn, Victoria 3122. Hawthorn is a suburb of Melbourne, easily accessible by train, tram, or bus. The campus is about 5 km from the city centre and offers modern facilities. Melbourne is a vibrant student city with over 200,000 international students and a strong job market in data science.
CRICOS lists estimated total fees of A$90,020 for Master of Data Science (tuition A$90,020). Figures are indicative as at the April 2026 register snapshot — confirm current fees with Swinburne University of Technology before applying.
The CRICOS course code is 099117B, offered by Swinburne University of Technology (provider code 00111D). Use these codes when checking your offer and CoE.