About the course

Focuses on the numeracy and analytical repertoire of graduates. Graduates will gain statistical expertise in analysing and visualising simple and complex data sets from a variety of sources such as disease markers, genomic and transcriptomic data and business data sets. Graduates will be competitive in the data science job market as it is implemented in computing, business and the natural sciences.

　　Learning Outcomes

　　Apply broad data science knowledge to a range of theoretical and practical big data situations.

　　Think critically to analyse, interpret and conceptualise big data science problems.

　　Think creatively or anticipate challenges to generate solutions to big data problems.

　　Use digital technologies, information literacies and numeracy proficiency to access, evaluate and synthesise relevant information from multiple sources.

　　Exhibit communication skills in statistics discourse across a range of topics/contexts of data science.

　　Collecting and communicating data science analyses sensitively and ethically with respect for cultural diversity, including indigenous cultural competence.

　　Work collaboratively and demonstrate initiative to implement social, sustainable and ethical values.

　　Demonstrate autonomy, accountability and judgment to manage own learning and professional practice. Scholarships - View all scholarships Internships

　　

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

　　Duration: 4 Year(s)Fees: Not available

Intake	Location
Semester 1 (February), 2024	Joondalup
Semester 2 (July), 2024	Joondalup
Semester 1 (February), 2025	Joondalup
Semester 2 (July), 2025	Joondalup
Semester 1 (February), 2026	Joondalup
Semester 2 (July), 2026	Joondalup

　　

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