Units in second semester 2021 may be delivered online and in alternative formats whilst restrictions in relation to the COVID-19 pandemic are in place.
Undergraduate Double Degree Major
- Data Science Double Degree Major (BSc/BA, BSc/BCom)
- Admission criteria
- Minimum ATAR 80
A full-time study load usually consists of 200 credits (approximately eight units) per year, with 100 credits (approximately four units) in each semester.
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Academic Ranking of World Universities 2020.
Get the Curtin edge
Access to leadership programs, specialist facilities and industry placements give you a competitive edge in the job market.
You’ll have access to a range of international study opportunities.
Data scientists work at the interface of computing, statistics, visualisation and media to collate and analyse large volumes of data and then communicate findings to a range of audiences. Their ability to leverage big data to predict future trends is becoming an essential part of decision-making in business and government.
This course sits within the double degree combination of Bachelor of Science/Bachelor of Arts, and also the Bachelor of Science/Bachelor of Commerce. Applicants have the choice of which double degree combination they would like to study.
Please refer to the handbook for additional course overview information.
View our student profile table to get an indication of the likely peer cohort for new students at Curtin University. This table provides data on students that commenced undergraduate study and passed the census date in the most relevant recent intake period for which data are available. It includes those admitted through all offer rounds and international students studying in Australia.
- Marketing and advertising data analyst
- Pricing or financial analyst
- Game designer
- Health and allied health data analyst
- Business intelligence analyst
- Machine learning specialist
- Information security technologist
- Growth analyst
- IT statistician
What you'll learn
- understand the theoretical background to processes for efficient collection, management, secure storage and analysis of large data sets
- formulate hypotheses about data and develop innovative strategies for testing them by implement appropriate algorithms to analyse both large and small datasets
- extract valid and meaningful conclusions from various types of large data sets that can support evidence based decision making
- communicate approaches and solutions to data science problems to a range of audiences in a variety of modes
- identify, select and use appropriate open source and proprietary data management and analysis tools to identify patterns or relationships in large volumes of data
- recognise the importance of continuous learning opportunities in a rapidly developing field and engage in self-driven development as a data scientist
- understand the global nature of data science and apply appropriate international standards in data science and data analytics
- work collaboratively and respectfully with data scientists from a range of cultural backgrounds
- work professionally and ethically on independent data science projects and as a team member working collaboratively to innovative data science solutions
Curtin requires all applicants to demonstrate proficiency in English. Specific English requirements for this course are outlined in the IELTS table below.
|IELTS Academic (International English Language Testing System)|
|Overall band score||6.0|
I’ve gone to university before
Applicants with higher education are those whose highest level of study since leaving secondary education is a higher education course, such as a university degree. This may include applicants who are currently studying a higher education course at another education provider and want to transfer to Curtin University, or applicants who are currently studying at Curtin but want to switch to a different course. It may also include applicants who have completed past study with university and non-university higher education providers.
Not all Curtin courses accept course switchers from other institutions.
Curtin course switcher criteria
At Curtin, we understand that everyone’s study journey has been different.
You may have already studied some of the units (subjects) listed in your Curtin course, or you may have work experience that matches the degree requirements.
If this applies to you, you can apply for credit for recognised learning (CRL), which means your previous study is recognised and matched against a similar unit in your intended Curtin course.
A successful CRL application exempts you from having to complete certain units within your course and means you could finish your degree in a shorter amount of time.
CRL is also known as recognition of prior learning, advanced standing and credit transfer.
Use the CRL search to find out how much CRL you qualify for, or contact us at:
Tel: 1300 222 888
Fees & charges
How to apply
Please review information on how to apply for the campus of your choiceApply now
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The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information. View courses information disclaimer.
- Curtin course code: MDDU-DATSC
- Last updated on: October 28, 2021