Bachelor's Degree Computer Science Full Time

Bachelor of Data Science

at RMIT University · Melbourne, Victoria

CRICOS course code

103214G

CRICOS provider code

00122A

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$138,240 total

Per year

A$46,080/yr

Intake

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

About this program

The Bachelor of Data Science at RMIT University in Melbourne is built for those interested in the practical and technical aspects of working with huge amounts of information. Students learn to use analytical tools, programming languages, and statistical methods to find insights in data for industry and research. The course curriculum covers subjects like machine learning, databases, statistics, and data mining, with plenty of hands-on projects to build problem-solving abilities across three years of full-time study.

You'll complete structured units of study, each worth a set number of credit points toward your degree, letting you develop both specialist and broader skills. In later stages, there's often a capstone project where students apply everything they have learned on a real data challenge, sometimes involving industry partners. Work-integrated learning is strongly encouraged by RMIT, so placements or internships with local companies can be part of your degree — it's a well-established practice to help students build professional networks.

Skills gained include programming (such as Python or R), data visualisation, predictive analytics, and understanding how to communicate technical findings to non-technical audiences. Practical assignments mean you'll leave confident dealing with real-world data — useful for many sectors in Australia. If you enjoy mathematics, problem-solving, and like looking for patterns in information, this is aimed at you.

International students are required to demonstrate their English with an IELTS Academic score between 6.0 and 6.5 overall. RMIT offers alternative English qualifications and packages, and work rights allow you to work up to 48 hours per fortnight during semesters. Upon graduation, students may be eligible for the Temporary Graduate visa (subclass 485) post-study work stream. Please confirm all course details and requirements on RMIT’s official 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 or Data Scientist in finance, health care, retail, and government agencies
  • Business Intelligence Analyst in Australian corporations
  • Machine Learning Engineer or AI Analyst in tech and start-ups
  • Statistical Analyst for research institutions and consultancies
  • Big Data Developer for software and IT service providers

Frequently asked questions

How long is the Bachelor of Data Science at RMIT University?

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

How much is the tuition?

Tuition is around A$138,240 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data Analyst or Data Scientist in finance, health care, retail, and government agenciesBusiness Intelligence Analyst in Australian corporationsMachine Learning Engineer or AI Analyst in tech and start-upsStatistical Analyst for research institutions and consultanciesBig Data Deve...

Guides for this subject and the application

All guides →

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