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Students who have already completed Year 12 (or equivalent) may start with the Stage 2 Diploma, which has the same course content and structure as year one of the corresponding Curtin University undergraduate degree. Upon completion of your Diploma, you will progress directly into the second year of your Curtin University Bachelor's degree program.

Stage2 - Computer Science & IT - Diploma of Information Technology
The Diploma of Information Technology addresses a significant market demand for skills associated with the design of distributed computing environments and the networks that underpin them.

Learn about computer technology, hardware and software, as well as computer communications and network management. Study the fundamentals of programming  and theoretical knowledge of computing.

Leading to: Bachelor of Science (Data Science)
Data scientists collate and analyse large volumes of data and communicate their findings to a range of audiences. Their ability to use big data to predict future trends is becoming an essential part of decision making in business and government.

Data is being generated at an unprecedented rate and its availability will continue to increase. Every industry is using large volumes of data – from predicting weather patterns and optimising harvesting in agriculture, to improving patient diagnosis in the health industry, to enhancing the management of remote infrastructure in mining.

This is a multidisciplinary major. It combines studies in computing, emerging internet technologies, media and statistics. You will gain a foundation in programming and statistics, which will form the basis of higher-level studies in data mining, data security and computer simulation.

This course builds your capacity to extract, analyse and visualise large volumes of data and communicate analytical outcomes to a range of audiences. You’ll graduate equipped to enter a range of industries where data science is key to innovation.

In keeping with Curtin’s strong links with industry, this course has an industry advisory group that provides guidance about the course content. The group comprises representatives from the resources sector, management consulting, data analytics services and spatial data product developers, and enterprises such as Optika Solutions and PwC.

What you'll learn

• Have demonstrated knowledge and understanding in Data Science that is typically at a level that, whilst supported by advanced textbooks, includes some aspects that will be informed by knowledge of the forefront of Data Science, GC1
• Can apply their knowledge and understanding in a manner that indicates a professional approach to Data Science, and have competencies typically demonstrated through devising and sustaining arguments (to both specialist and non-specialist audiences) and solving problems within Data Science, GC2
• Understand the constructs of the scientific method and apply these principles in Data Science using digital technologies, GC3
• Can gather and interpret relevant data within Data Science to inform judgements that include reflection on relevant social, scientific, or ethical issues, including being aware of the diversity of international perspectives associated with Data Science, and how these impact upon the practice of Data Science, GC4
• Understand and appreciate cultural diversity and how it impacts on the practice of Data Science, GC5
• Display a high standard of professional behaviour, including effective time management, both independently and as a team member, GC6