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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 have a final School letter grade of C or higher in Mathematics Methods ATAR (Year 11), or successful completion of MAT1108 Foundations of Mathematics, with equivalents considered.

Code

MAAAJJ

Availability & Campus

JO ML BU OL
JO - Joondalup BU - South West ML - Mount Lawley OL - Online

Details

Structure

Unit Code Unit Title Credit Points
MAT1137Introductory Applied Mathematics15
MAT1252Mathematics for Computing15
CSP1150Programming Principles15
CSG1207Systems and Database Design15
MAT2110Applied Statistics15
MAT2440Time Series Forecasting15
MAT3110Applied Multivariate Statistics15
MAT3120Machine Learning and Data Visualisation15

For more detailed unit information for this Major take a look at our Handbook. To organise your life for next semester visit the Semester timetable.

Student handbook

Notes

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.

Career Opportunities

Employment opportunities

Data Analyst, Data Scientist, Applied Statistician

This Major can be studied in the following courses

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