Bachelor of Data Science – Swinburne University of Technolog

Bachelor's Degree Computer Science Full Time

Bachelor of Data Science

at Swinburne University of Technology · Melbourne, Victoria

CRICOS course code

109149G

CRICOS provider code

00111D

This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.

Duration

3 years

Tuition (whole course)

A$138,900 total

Per year

A$46,300/yr

Intake

Semester 1 (Feb/Mar), Semester 2 (Jul)

About this program

The Bachelor of Data Science at Swinburne University of Technology in Melbourne provides a strong foundation in computer science, statistics, and data analysis. This program covers topics including programming, data management, machine learning, data visualisation, and the ethical considerations that come with managing big data. Students learn to extract insights from complex datasets, applying technical solutions to real-world problems across various sectors.

Structured over three years of full-time study, the course is delivered through semesters and is organised into units of study, each contributing to a total of credit points required to graduate. Students will undertake core units, electives, and often participate in a capstone project which integrates their learning and develops practical experience. There is an emphasis on gaining both theoretical knowledge and hands-on skills relevant to Australian industry expectations.

Work-integrated learning is a strong feature, helping students connect with industry partners and offering opportunities for professional placements, an advantage in Australia’s competitive tech job market. The course also supports development of problem-solving, teamwork, and communication skills, making graduates adaptable and job-ready in various dynamic fields. Applicants must demonstrate English proficiency, with IELTS Academic 6.0–6.5 overall as the standard. Equivalent results in TOEFL iBT, PTE Academic, Cambridge C1 Advanced, or successful completion of Swinburne’s own English programmes are also accepted.

This degree suits those with an interest in technology and analytics who wish to pursue roles in Australia’s growing data-driven sectors. International students can benefit from Australia’s work rights for students (48 hours per fortnight) and may be eligible for the Temporary Graduate visa (subclass 485) after graduation. For entry and course structure details, always confirm information on the official university page.

Entry requirements

English: International applicants must evidence English proficiency. IELTS Academic 6.0–6.5 overall is the common undergraduate and coursework-postgraduate standard, rising to 7.0–7.5 for teaching, nursing, medicine, law and social work. TOEFL iBT, PTE Academic, Cambridge C1 Advanced and the university’s own English programmes are accepted as equivalents; the Department of Home Affairs sets a separate English threshold for the Student visa itself.

International students: Registered on CRICOS for international students. A Confirmation of Enrolment (CoE) for this course supports a Student visa (subclass 500) application; Overseas Student Health Cover is required for the full duration.

Career outcomes

Data Analyst in technology, financial, retail, or health organisations
Data Scientist roles across corporate and governmental sectors
Business Intelligence Analyst in Australian businesses
Machine Learning Engineer in software and analytics firms
Database Administrator in IT and telecommunications
Australian research and consultancy opportunities in data-driven fields

Frequently asked questions

How long is the Bachelor of Data Science at Swinburne University of Technology?

It typically takes 3 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$138,900 total. Fees change yearly, confirm with an advisor.

What are the career outcomes?

Data Analyst in technology, financial, retail, or health organisationsData Scientist roles across corporate and governmental sectorsBusiness Intelligence Analyst in Australian businessesMachine Learning Engineer in software and analytics firmsDatabase Administrator in IT and tele...

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