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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. But don't ask us – ask our graduates.

It's what we do 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 graduates for 11 years in a row confirms that.

We've also learned that we're now Australia's top ranked public university for student satisfaction.

And Times Higher Education tell us 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

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

What Next


About our courses…the fine print



Course entry

Minimum requirements, entry pathways, future student events and credit for previous study

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Applying

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Uni life

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Let's talk

Let's talk

If you've come this far and have a question or two, please contact us.



Telephone:

134 328 (Aus)
+61 8 6304 0000 (Int)

International

Online enquiries
+61 8 6304 0000

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