Bachelor's Degree Computer Science Full Time

Bachelor of Data Science (Professional)

at RMIT University · Melbourne, Victoria

CRICOS course code

110804D

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

4 years

Tuition (whole course)

A$188,160 total

Per year

A$47,040/yr

Intake

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

About this program

The Bachelor of Data Science (Professional) at RMIT University gives students a structured pathway to understand, analyse and use data in practical ways. Over four years, students complete units focused on mathematics, programming, machine learning, and data visualisation, as well as statistical modelling and data ethics. The curriculum balances theory with hands-on experience, including work-integrated learning placements where students can apply their knowledge in local industry settings.

The degree is organised by semesters, with each subject or 'unit of study' carrying credit points that count towards the degree requirements. Students progress from introductory material in the first year to more advanced and specialised topics in later years. In the final year, students undertake a capstone project, which often involves working with an external organisation or industry partner on a real-world data science problem.

Through this mix of coursework and practical experience, students learn to clean, analyse and interpret complex datasets, develop predictive models, and communicate their findings effectively. The use of local Australian case studies and partnerships in the Melbourne tech sector grounds learning in real industry needs, preparing students to step confidently into the workforce.

This course suits people who like solving problems using numbers and logic, have some coding aptitude, and enjoy thinking analytically. It's well positioned for those wanting to build a career in Australian tech, finance, government, health or research settings, and meets requirements for the Temporary Graduate visa (subclass 485) post-study work stream. Students can also work up to 48 hours per fortnight while studying. Always check the official RMIT website for detailed unit lists and any updates.

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 scientist in Australian technology, finance, health care, consulting or government sectors
  • Business intelligence analyst in private and public organisations
  • Data engineer or database manager for technology companies and consultancies
  • Machine learning specialist in research or industry teams
  • Analytics roles in marketing, sports, logistics and utilities

Frequently asked questions

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

It typically takes 4 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$188,160 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data scientist in Australian technology, finance, health care, consulting or government sectorsBusiness intelligence analyst in private and public organisationsData engineer or database manager for technology companies and consultanciesMachine learning specialist in research or i...

Guides for this subject and the application

All guides →

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