HomeCoursesBachelor of Science/Master of Data Science
Bachelor of Science/Master of Data Science
Bachelor degree in Australia.
- Duration: 4 to 4.5 years
- Study mode: On campus
Where you can study this course
- No listed website
Queensland University of Technology
- Campuses
- QUT Gardens Point Campus
- Duration
- 4 years
- Full time, part time available
- Study mode
- On campus
- Full fee
- Not yet checked
What students say
Students rate the facilities and campus highly, though some found them lacking and a number mentioned student support and organisation and admin as frustrations.
- No listed website
The University of Melbourne
- Campuses
- The University of Melbourne
- Duration
- 4.5 years
- Full time, part time available
- Study mode
- On campus
- Full fee
- Not yet checked
What students say
Students speak highly of the facilities and campus, which matters if your study day depends on where you spend it.
Is this course right for you?
Entry requirements
Entry requirements are set by each provider, so check the ones you are considering.
Entry recommendations
To be prepared for this course, it helps to have:
- an interest in working with data and numbers
- curiosity about how patterns in data can inform decisions
- patience for learning technical and statistical methods
- good problem solving and logical thinking skills
Career pathways
Roles this qualification is a recognised route into, and what else you need.
A recognised route into Data Analyst
Data Analyst
Data analysts query, clean and visualise an organisation's data so the people running it can see what is actually happening.
Explore this career →- Weekly pay
- $1,950
- Full-time share
- 86%
- Employment size
- 23,300 workers
- Average age
- 36 years
- Average full-time hours
- 40 hours
- Gender share
- 42% female
- Future growth
- +18.3%
- Job market
- In shortage (national)
Complete relevant data-science coursework and projects. Data engineering also requires practical database and programming capability; employer requirements vary.
A recognised route into Data Engineer
Data Engineer
Data engineers build the pipelines and storage that move an organisation's data from the systems that create it to the analysts and machine learning teams who use it.
Explore this career →- Weekly pay
- $2,150
- Full-time share
- 92%
- Employment size
- 3,100 workers
- Average age
- 36 years
- Average full-time hours
- 40 hours
- Gender share
- 21% female
- Future growth
- +22%
- Job market
- In shortage (national)
Complete relevant data-science coursework and projects. Data engineering also requires practical database and programming capability; employer requirements vary.
A recognised route into Data Scientist
Data Scientist
Data scientists build the models that forecast, classify and automate decisions, combining statistics, code and business context to turn raw data into working systems.
Explore this career →- Weekly pay
- $2,400
- Full-time share
- 88%
- Employment size
- 3,400 workers
- Average age
- 34 years
- Average full-time hours
- 41 hours
- Gender share
- 27% female
- Future growth
- +24.6%
- Job market
- In shortage (national)
Complete relevant data-science coursework and projects. Data engineering also requires practical database and programming capability; employer requirements vary.
Data from Course Seeker, run by the Tertiary Admissions Centres and the Australian Government Department of Education, and the Australian Bureau of Statistics (CC BY 4.0).