Data scientists transform growing volumes of information into meaningful insights that help people and technology make smarter decisions. From understanding customer behaviour and improving digital experiences to building AI models and recommendation systems, Data Science combines analytical thinking, creativity, coding and communication to solve problems across almost every industry.
Practical applications of Data Science and Decisions:
Internet search engines
Targeted digital advertisements
Product recommending systems
Image recognition, speech recognition
Machine learning in video games
Price comparison websites
Airline route planning
Fraud and risk detection
Optimising logistics
Alumni Spotlight聽
Do you enjoy maths, technology, AI and solving real-world problems? 2018 Data Science & Decisions alumnus Victor Tsang did too - but when he applied for Co-op, he had never heard of data science. Through placements at Westpac, ASIC and PwC, Victor聽discovered how much he loved combining technical problem-solving with teamwork, communication and storytelling.
"Numbers and data only get you so far"
Today, as a Senior Data Scientist at Canva, Victor聽analyses how people use the platform, identifies where they may get stuck and transforms data into insights that help create a better user experience.
"Data science is about helping people and machines make better decisions.鈥
Victor's journey shows that students don鈥檛 need to have their entire future mapped out. Through Co-op鈥檚 industry placements, they can explore different career paths, discover what excites them and gain the experience to turn their interests into a rewarding career. To hear more about Victor's career journey - head to the recording from our .听
Victor Tsang (DSD18) | Senior Data Scientist - Canva
Co-op was definitely my dream path, I am so happy I was able to go through all the selection rounds and eventually be offered the degree. Data science blends everything I loved in high school - coding, math and business. My goal is to use Data Science skills to tackle real-world problems in various fields where data can make a difference.
