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Unit Set Information

Data Science Major

Effective from 01-JAN-2023 : Code MAAAJJ

This major 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.

Disclaimer

This unit set information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester. In particular please check the unit and unit set offerings, as these differ according to course delivery location.

This Major can be studied in the following courses:

Special Admission 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.

Mode of Delivery

On Campus at Joondalup

Unit Set Coordinator

Dr Steven James RICHARDSON

Learning Outcomes

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

Employment Opportunities

Data Analyst, Data Scientist, Applied Statistician

Major Structure

Unit Code Unit Title Credit Points
MAT1137Introductory Applied Mathematics15
MAT1252 ^Mathematics for Computing15
CSP1150Programming Principles15
CSG1207Systems and Database Design15
MAT2110Applied Statistics15
MAT2440Time Series Forecasting15
MAT3110Applied Multivariate Statistics15
MAT3120Machine Learning and Data Visualisation15
Students in Y14 should choose MAT1114 in place of MAT1252.
MAT1114 ^Introductory Statistics15

^ Core Option

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

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