Bachelor of Science/Data Science at Griffith University
GR Griffith University logo
Bachelor's Degree Data Science Full Time

Bachelor of Science/Bachelor of Data Science

at Griffith University · Brisbane, Queensland

CRICOS course code

097100E

CRICOS provider code

00233E

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$172,000 total

Per year

A$43,000/yr

Intake

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

About this program

This double degree at Griffith University brings together scientific investigation and advanced data analysis. Students study foundational science disciplines—such as biology, chemistry or physics—alongside specialist data science topics like statistical modelling, machine learning and large-scale data processing. Over four years (full-time), students complete units worth the standard load of Australian bachelor degrees, accumulating credit points as they progress through each semester.

In this programme, students tackle both theoretical concepts and practical applications. Science units include laboratory work and field activities typical of the sciences, while data science units focus on computing, databases, and the interpretation of large volumes of data. Many units assess problem-solving and critical thinking, helping students learn to approach complex questions from both scientific and quantitative perspectives.

A distinctive feature is the opportunity for work-integrated learning or professional placements. Students can apply knowledge in real-world industry, research, or government settings in the Brisbane area or beyond. The course also prepares students for honours or further research, and the structure allows for a capstone project where students investigate a real scientific or data-driven problem. This double degree suits those interested in science who also want to develop strong skills in analysing data for decision-making, research, and business insights.

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 medical, agricultural, or environmental research organisations
  • Analyst roles in government agencies and consulting firms
  • Research assistant in laboratories applying data analytics to scientific projects
  • Positions with Australian healthcare, technology, energy, and environmental employers
  • Roles in sectors seeking scientists with data skills, including resources and finance

Graduates may be eligible for Australian post-study work visas and can work up to 48 hours per fortnight while studying. View Griffith University's official page for up-to-date course details and professional destinations.

Frequently asked questions

How long is the Bachelor of Science/Bachelor of Data Science at Griffith 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$172,000 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data scientist in medical, agricultural, or environmental research organisationsAnalyst roles in government agencies and consulting firmsResearch assistant in laboratories applying data analytics to scientific projectsPositions with Australian healthcare, technology, energy, and...

Guides for this subject and the application

All guides →

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