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Data Science Major

Code MAAAJJ

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About 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.

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

Location Availability
Joondalup
Mount Lawley
South West
Online
= Available
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Details

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

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

Student handbook

Notes

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.

Career Opportunities

Employment opportunities

Data Analyst, Data Scientist, Applied Statistician

This Major can be studied in the following courses

Experiences

The Important Things

Things you should know about if you're thinking about studying here.

Course Entry

There's more than one admission pathway into an ECU course. It depends on what you've studied already, or your work or life experience.

Fees & Scholarships

Course tuition fees can change, but we can give you an estimate of your costs. If you're eligible, a scholarship or student loan can help too.

Applying

Applying for a course is a fairly simple process, especially if you have scanned copies of qualifications, your resume or other paperwork, ready to upload.

ECU Experience

Starting a course is an exciting and sometimes daunting time, so we make a massive effort to ensure you get all the support you need to have a positive experience.