Computing and Data Science (Undergraduate)

The computing and data science extended major 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. 
• 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!

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

Student Clubs
Whatever you’re interested in, you’ll find people here to share your journey.

Enhance your employability while making lifelong friends and connections by joining one of our many student clubs, such as:

• UWA Data Science Club
• Computer Science Students Club
• Coders for Causes
• UWA Information Security Society
• UWA Programming Competition Society (PCS)

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.
• 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.

Scholarships

• Scholarships are available to students from a diverse range of backgrounds, including academic achievement, financial need, educational disadvantage, leadership and community service, artistic or sporting achievements, and being from a rural or remote area.

Cost of living

• There are a few things to consider before applying to study at university. One could be your cost of living. This can depend on factors such as lifestyle, accommodation, tuition fees, medical insurance, textbooks and more.