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Unitset

Data Science Major

Code: MAAAJJ

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.

Special entry requirements

All applicants are required to complete as a minimum MAT1137 Introductory Applied Mathematics or Mathematics: Methods ATAR, with equivalents considered.

Availability

Availability

Joondalup

Offered

Mount Lawley

South West (Bunbury)

Online

Why choose ECU?

Good question. It's what other organisations ask our graduates every year....

Find out more

It's how we discovered that the quality of teaching here is the best in Western Australia. Being rated 5 stars by our graduates for 11 years in a row confirms that.

It's also how we learned from QILT that we’re Australia’s top ranked public university for student satisfaction.

And it's how we know that we're one of the best young universities in the world under 50 years old.

So the real question is, why not choose ECU?

Major details

Learning Outcomes

  1. Apply broad data science knowledge to a range of theoretical and practical big data situations.
  2. Collecting and communicating data science analyses sensitively and ethically with respect for cultural diversity, including indigenous cultural competence.
  3. Demonstrate autonomy, accountability and judgment to manage own learning and professional practice.
  4. Exhibit communication skills in statistics discourse across a range of topics/contexts of data science.
  5. Think creatively or anticipate challenges to generate solutions to big data problems.
  6. Think critically to analyse, interpret and conceptualise big data science problems.
  7. Use digital technologies, information literacies and numeracy proficiency to access, evaluate and synthesise relevant information from multiple sources.
  8. Work collaboratively and demonstrate initiative to implement social, sustainable and ethical values.
Structure

Structure

Unit Code Unit Title Credit Points
MAT1236Calculus 115
CSP1150Programming Principles15
CSG1207Systems and Database Design15
MAT2110Applied Statistics15
MAT2440Time Series Forecasting15
MAT3110Applied Multivariate Statistics15
MAT3120Machine Learning and Data Visualisation15
Elective Unitx 115

Employment Opportunities

Data Analyst, Data Scientist, Applied Statistician

This Major can be studied in the following courses

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