Undergraduate

Computing and Data Science

The knowledge and practical skills in data science technologies for data collection, cleaning, conversion, analysis, visualisation, interpretation, storage, search, synthesis and cloud management.
92
ATAR
4
Years Full Time

Contact us

Address

Student Central

The University of Western Australia(M355) 35 Stirling Highway Perth Western Australia 6009

Telephone

(+61 8) 6488 3939

International

1800 653 050

Hours

8.30am – 5pm AWST, Monday – Friday

Frequently asked questions

Careers and further study

This major opens up a world of future study pathways and career options.

Career opportunities

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

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.

Fees and scholarships

Learn more about the fees that apply to you for this major. For fee type definitions and further assistance, see the Fee Calculator Help page. You can also search our database for scholarships that are relevant to you or your desired course.

Admission requirements

The University of Western Australia welcomes applications from international and domestic school-leavers, mature-age applicants and those with previous tertiary study. If you’re interested in studying this major, find out the admission details below.

Minimum entry requirements

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

Admission requirements

For applicants with recent secondary education, information on admission criteria is available on our entry standards page.

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

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.

How to apply

Ready to apply for this major? Follow the steps and you’ll be on your way to joining us at UWA.

Course details

The Bachelor of Advanced Computer Science (Data Science) will prepare you with the knowledge and practical skills in data science technologies for data collection, cleaning, conversion, analysis, visualisation, interpretation, storage, search, synthesis and cloud management, putting you in high demand in the growing data science job market.  

About the course

Studying Computing and Data Science will unveil the technologies that bring us the convenience we enjoy every day and subconsciously take for granted as natural parts of our life. 

Computing and Data Science

Quick Details

STATUS
  • Available 2021
LOCATIONS
  • Perth (Crawley Campus)
ATTENDANCE
  • Full-time, part-time
DELIVERY
  • On-campus
STARTING DATES
  • Semester 1, Semester 2
WEEKLY CONTACT TIME
  • 16-25' teaching time, plus your own study time
LEVEL OF STUDY
  • Undergraduate
FULL-TIME /PART-TIME DURATION
  • 4 years (BACS[Hons]), 4 years (BPhil[Hons])
DEGREES COURSE IS AVAILABLE IN
  • Bachelor of Advanced Computer Science (Honours), BPhil
FACULTY
  • Faculty of Engineering & Mathematical Sciences

Why study this course

  • Working alongside industry partners and inspiring researchers and fellow students will give you hands-on experience and connections with future employers working on real-world projects. Your in-demand skills in data science will give you an edge in almost any industry and workplace setting
  • You'll be able to apply your business and technical knowledge to identify and overcome business challenges and help organisations achieve their goals
  • You'll learn how to make evidence-based and data-driven decisions, becoming a valuable problem solver in your workplace

You'll learn to

  • apply data visualisation, interpretation, storage and synthesis skills in complex real-world settings
  • use predictive modelling to forecast future trends, outcomes and scenarios
  • understand the opportunities and constraints of contemporary data science practice as it applies in various industries
  • work effectively as a team member and as a team leader for real-world data science projects
  • communicate data science, modelling and analytics clearly in oral, graphical and written formats
  • extend knowledge in data science through research, experimentation and analysis

EZONE

EZONE building

"Have you ever wondered how Bureau of Meteorology 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?"

Dr Wei Liu - Senior Lecturer, Faculty of Engineering and Mathematical Sciences

"Have you ever wondered how Bureau of Meteorology 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 Computing and Data Science will unveil the cool technologies that bring us the convenience we enjoy every day and subconsciously take for granted as natural parts of our life. 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."

Dr Wei Liu - Senior Lecturer, Faculty of Engineering and Mathematical Sciences

Student Clubs

UWA has a range of clubs for you to join and take part in. 

Some you may be interested in: 

Course Structure

Our course has been structured to give you a comprehensive understanding of Computing and Data Science
Level 1
  • CITS1001 Software Engineering with Java
  • CITS1003 Introduction to Cybersecurity
  • CITS1401 Computational Thinking with Python
  • CITS1402 Relational Database Management Systems
  • PHIL1001 Justice and Contemporary Ethics
  • STAT1400 Statistics for Science

 

Level 2
  • CITS2002 Systems Programming
  • CITS2200 Data Structures and Algorithms
  • CITS2402 Introduction to Data Science
  • STAT2401 Analysis of Experiments
  • STAT2402 Analysis of Observations

 

Level 3
  • CITS3001 Algorithms, Agents and Artificial Intelligence
  • CITS3002 Computer Networks
  • CITS3200 Professional Computing
  • CITS3401 Data Warehousing
  • CITS3403 Agile Web Development
  • STAT3064 Statistical Learning
  • STAT3405 Introduction to Bayesian Computing and Statistics

 

Level 4 (Honours)
  • CITS4010 Computer Science Honours Research Project Part 1
  • CITS4011 Computer Science Honours Research Project Part 2
  • CITS5503 Cloud Computing
  • CITS5508 Machine Learning
  • STAT4062 Statistical Modelling and Inference
  • STAT4065 Multilevel and Mixed-Effects Modelling

Your degree options

This major is offered as a degree-specific, or first, major for this degree.

STUDY ABROAD

Taking you global

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ADMISSION TO UWA

Admission entry pathways

UWA offers a number of admission entry pathways for domestic and international students to be able to study with us. If your results do not qualify you for standard entry into the University, check our Admission entry pathways for one that suits you.

 

ADMISSION TO UWA

School of Physics, Mathematics and Computing

Bringing together the greatest minds in the world of physics, mathematics and computing