KensingtonBachelor of Data Science and Decisions
Natural sciences, mathematics and statistics
- Duration
- 40 months
- Intakes
- Feb
- Tuition
- A$56,167/yr
Study in Australia
Bachelor of Data Science in Australia
Compare Australian data science degrees by curriculum, mathematics requirements, programming content, accreditation, tuition fees and study location. Find a course that builds the technical and analytical foundations you need for data-focused study and future careers.
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Opportunity Matrix
Explore Bachelor of Data Science Courses in Australia
Compare bachelor-level data science degrees, including honours programs, by university, location, tuition fees, scholarships and intake.
33 courses
Kensington
ClaytonBachelor of Applied Data Science Advanced (Honours)
Natural sciences, mathematics and statistics
- Duration
- 4 years
- Intakes
- Sem 1
- Tuition
- A$56,300/yr
AdelaideBachelor of Mathematics (Honours) majoring in Data Science
Information and Communication Technologies (ICTs)
- Duration
- 4 years
- Intakes
- Sem 1 · Sem 2
- Tuition
- A$54,900/yr
KensingtonBachelor of Data Science and Decisions / Bachelor of Laws (Honours)
Natural sciences, mathematics and statistics
- Duration
- 6 years
- Tuition
- A$56,480/yr
Clayton +1Bachelor of Applied Data Science
Natural sciences, mathematics and statistics
- Duration
- 3 years
- Intakes
- Sem 1 · Sem 2 · Tri 3
- Tuition
- A$56,300/yr
AdelaideBachelor of Mathematics majoring in Data Science
Information and Communication Technologies (ICTs)
- Duration
- 3 years
- Intakes
- Sem 1 · Sem 2
- Tuition
- A$54,900/yr
Showing 1–6 of 33 courses
Field Guide
Bachelor of Data Science in Australia: Quick Guide
Qualification Level
AQF Level 7
A standard Australian Bachelor Degree is generally an AQF Level 7 qualification, designed to develop broad and coherent knowledge for professional work and further learning.
Typical Duration
About 3 years
Many Bachelor of Data Science programs are designed around approximately three years of full-time study.
Honours programs, double degrees and combined qualifications may take longer.
What You May Study
Australian data science degrees commonly combine:
- programming
- statistics and probability
- mathematics
- databases
- data management
- machine learning
- data visualisation
- data analytics
- predictive modelling
- data ethics
- applied projects or capstones
The balance between computing, mathematics and business applications can vary significantly between universities.
Mathematics Requirements
Data science is generally more mathematically intensive than a standard business or information systems degree.
Depending on the course, students may study or be expected to have prior knowledge in areas such as:
- statistics
- calculus
- algebra
- probability
- quantitative methods
Always check the mathematics prerequisite for the specific university course.
Programming
Programming is a core component of most data science programs.
Students may encounter languages and technologies such as Python, R, SQL or other tools used in data analysis and machine learning.
The exact technologies vary by university and may change as industry practice develops.
Accreditation
Some Australian data science programs are accredited by the Australian Computer Society (ACS).
However, accreditation applies to an individual course and accreditation period rather than automatically to every technology course offered by a university.
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Expert Context
What to Look for in an Australian Data Science Degree
Data Science Is More Than Data Visualisation
A strong data science program should normally go beyond dashboards and reporting.
Look for a combination of:
statistics + programming + databases + machine learning + data communication
A course with very limited programming or quantitative study may be preparing students for a different type of analytics role.
Data Science, Data Analytics and Computer Science Are Different
These study areas overlap but are not interchangeable.
Data Science generally focuses on extracting knowledge from data through statistics, programming and modelling.
Data Analytics may focus more heavily on interpreting data to support organisational decisions.
Computer Science usually provides broader study of computing, including algorithms, software, systems and theoretical foundations.
The individual subjects are therefore more useful than the degree title alone.
Data Scientist Is Now Recognised as a Distinct Occupation
Australia's current occupation framework identifies Data Scientist as a distinct occupation.
The role can involve statistical modelling, programming, databases, machine learning and communicating findings to decision-makers.
For students comparing degrees, this makes technical depth and practical analytical capability particularly relevant.
Check How Much Machine Learning the Course Really Contains
“AI” and “machine learning” increasingly appear in university marketing.
Look at whether machine learning is:
- a core subject
- an elective
- a major or specialisation
- covered across multiple advanced subjects
One introductory machine-learning subject is different from a degree with a substantial modelling pathway.
Practical Projects Matter
Capstone projects, industry projects and real-world data assignments can help students connect theory with applied problem-solving.
When comparing programs, check whether students actually work with datasets and end-to-end analytical problems.
Questions, answered
Frequently asked
What do you study in a Bachelor of Data Science?
Typical study areas include programming, statistics, mathematics, databases, machine learning, data visualisation and analytical modelling.
Do I need mathematics to study Data Science?
Often yes. Mathematics requirements vary by university, but data science generally relies heavily on statistics and quantitative reasoning.
Is Data Science the same as Computer Science?
No. They overlap, but Computer Science covers computing more broadly, while Data Science focuses more heavily on data, statistics and modelling.
How long does a Bachelor of Data Science take in Australia?
Many standard programs take approximately three years full-time. Honours and double degrees may take longer.
Are all Australian Data Science degrees ACS accredited?
No. Accreditation applies to individual courses.
Should I choose a Data Science degree based on university ranking?
Ranking can be useful, but curriculum, mathematics content, programming depth, accreditation, practical projects and your academic eligibility can provide a more useful course-level comparison.
Find a Data Science Degree With the Right Technical Depth
Compare programming, mathematics, machine learning, accreditation, entry requirements and tuition before creating your shortlist.