Data science, analytics, artificial intelligence and cyber security are connected fields with different purposes. Analytics helps people interpret data. Data science develops methods for extracting insights. AI supports tasks such as prediction and automation. Cyber security protects systems and information.
Together, these disciplines influence how organisations operate and make decisions. UNSW Online's technology and data articles help you explore the relationships between different areas of digital work.
If you are deciding where to develop your knowledge, consider the problems you want to solve and the skills your role requires. Understanding those needs can help you choose which topics to explore further, whether your interests are technical, commercial or a combination of both.
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What maths does a data scientist need to know?
August 1st, 2019Data science is an attractive career option for anyone looking to enter a profession that provides great career outlooks and which sits at the forefront of many technological innovations occurring
How data science is transforming the way we talk to computers
June 14th, 2019User Interface (UI) design has long been a priority for the computing industry, as companies have sought to differentiate themselves from their rivals by making their products easier to use or by p
Measuring feelings: The power of sentiment analysis
June 7th, 2019Data science is an incredibly flexible discipline, capable of providing insights into basically any subject that can be described.
The democratisation of Artificial Intelligence
May 22nd, 2019The ongoing development of artificial intelligence technology is transforming the global economy and creating new opportunities for innovation.
How can machine learning predict the future?
May 17th, 2019As you walk towards your car you type a text message on your smartphone.
What is data science ‘Impostor Syndrome’?
April 12th, 2019Over 40 years ago, in 1978, the academic paper that coined the term ‘impostor phenomenon’ was published.