Updating Results
Menu

The University of Western Australia (UWA)

  • 22% international / 78% domestic

Computing and Data Science

  • Non-Award

The knowledge and practical skills in data science technologies for data collection, cleaning, conversion, analysis, visualisation, interpretation, storage, search, synthesis and cloud management.

Key details

Degree Type
Non-Award
Course Code
MJD-CDSDM
Study Mode
In person

About this course

Have you ever wondered how Bureau of Metrology forecast the weather; how your smart phone can recognise your face; how YouTube makes recommendations; and how Siri can listen to your command and hold a conversation? Studying this course will transform how you see the world. In addition to the physical beings, a data scientist will also see their "digital twins", in a variety of formats, numbers, text descriptions, audios, images, and videos, in streams, at super speed and high volumes, creating incredibly rich ever-growing data oceans that hold the power to advance our new digital civilisation. In this degree, you will build solid data storage, processing, visualisation and manipulation skills to build models for pattern discovery, predication and forecasting, and ultimately turn raw data into actionable knowledge. Data is ubiquitous, graduates who are able to harvest knowledge from the data oceans are highly sought after in all sectors, mining and resources industry, health care, government and non-government agencies, just to name a few. Come and study Computing and Data Science, and join the force to create digital brains for these organisations!

Entry requirements

Admission requirements

The University of Western Australia welcomes applications from international and domestic school-leavers. If you're interested in studying this major, find out the admission details below.

Minimum entry requirements
Minimum entry requirements

Below you'll find a list of admission equivalencies for this course's Australian Tertiary Admissions Rank (ATAR).

Indonesian Sekolah Menengah Atas (SMA) - Pass of 65
  • 87.4
Monash University Foundation Year
  • 316
South Korean College Scholastic Ability Test (CSAT)
  • 348
Trinity College Foundation
  • 342
University of Western Australia College (UWAC) Foundation Program
  • 76
Western Australian Universities' Foundation Program (WAUFP)
  • 72
Western Australian Certificate of Education (WACE) 2016 onwards
  • 92
Below you'll find a list of admission equivalencies for this course's Australian Tertiary Admissions Rank (ATAR).
Indonesian Sekolah Menengah Atas (SMA) - Pass of 65
  • 87.4
Monash University Foundation Year
  • 316
South Korean College Scholastic Ability Test (CSAT)
  • 348
Trinity College Foundation
  • 342
University of Western Australia College (UWAC) Foundation Program
  • 76
Western Australian Universities' Foundation Program (WAUFP)
  • 72
Western Australian Certificate of Education (WACE) 2016 onwards
  • 92
Admission requirements
For applicants with recent secondary education, information on admission criteria is available on our entry requirements page or on the UWA Handbook for course specific requirements and prerequisites.
Admission requirements
Mathematics requirement

This major requires a certain level of Mathematics. If you do not meet this level, you may be able to take additional Mathematics units in your first year to satisfy this requirement.

WACE prerequisite: Mathematics Methods ATAR

Mathematics requirement
ADMISSION REQUIREMENT
English competency

English is the language of instruction and assessment at UWA and you will need to meet the English language requirements of the University to be eligible for a place.

Minimum overall IELTS score of 6.5, with no band less than 6.0.

ADMISSION REQUIREMENT
English competency

Study locations

Perth

Career pathways

Careers and further study

This course opens up a world of future study pathways and career opportunities.

Career opportunities
As organisations around the world implement and expand data-analytics programs, the demand for data scientists continues to grow.
Career opportunities

As organisations around the world implement and expand data-analytics programs, the demand for data scientists continues to grow.
Data science skills are increasingly in demand across industries including energy and resources engineering, bioinformatics and biochemistry, computational physics and astronomy, cities and transportation, health, finance, business advisory, marketing, geophysics, geographic information systems and biomechanics.

Course structure

Level 1
Students are recommended to take MATH1722 Mathematics Foundations: Specialist as an elective. Core

Take all units (30 points):

Level 2
Core

Take all units (42 points):

Level 3
Core

Take all units (42 points):

Option

Take unit(s) to the value of 6 points:

Level 4: Honours

Copyright 2025 © The Uni Guide.
The most comprehensive guide to university in Australia