Apply for Data Science Double Degree Major (BSc/BA, BSc/BCom)

Data Science

Data Science

Undergraduate double degree major

Course outline
  • Qualification
    Data Science Double Degree Major (BSc/BA, BSc/BCom)
  • Credit


Course outline

Select your preferred degree

This course belongs to multiple degrees. Select the single degree or double degree below to see the application deadlines.

Course outline



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. 

What jobs can the Data Science course lead to?

  • 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
Credit for recognised learning (CRL)

Use your experience to get credit towards your degree

Finish your course sooner with credit for your previous study or work experience.

Fees and charges

Please view the Bachelor of Science, Bachelor of Arts degree for indicative fees.

Looking for more detail on the course structure?

View course structure

How to apply

Please review information on how to apply for the campus of your choice

  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

    The information on this page may be subject to change. In particular, Curtin University may change the content, method or location of delivery or tuition fees of courses.

    While Curtin uses reasonable efforts to ensure that the information provided on this page is accurate and up to date, errors and omissions sometimes occur. Curtin makes no warranty, representation or undertaking (expressed or implied) nor does it assume any legal liability (direct or indirect) for the accuracy, completeness or usefulness of any information.

    View courses information disclaimer.

  • Curtin course code: MDDU-DATSC
  • Last updated on: 11 April 2024

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Bachelor of Commerce Specialisations

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Apply for Data Science Double Degree Major (BSc/BA, BSc/BCom)