Data scientists work with data sets to identify trends, answer questions, and even forecast changes using machine learning and predictive modelling. They are at the forefront of technology advances and help drive strategic decisions in businesses across every industry.
Our Master of Data Science enables professionals and graduates with a strong mathematical or quantitative background to upskill in this specialist field. By building their technical skills and knowledge in data science, our graduates are uniquely equipped to draw meaningful knowledge from data.
We spoke to Data Science alumni, Igor Malin, about why he chose to build on his skills with postgraduate study and where it took him.
For Igor Malin, the Master of Data Science was all about new perspectives.
Graduating in 2018, he is now Software Engineering Team Lead at global information and technology company Bloomberg L.P. With headquarters in New York City, Bloomberg L.P. employs more than 19,000 people across the world and provides financial software tools such as an analytics and equity trading platform, data services, and news.
According to Malin, his Master's degree allowed him to build on his background in computer science and see data in a new way. He also benefiited from the variety of new people and views he encountered during his studies.
"The people, the friendships, and the different perspectives that surrounded me during the studies were a real highlight", he said.
"This allowed me to imagine my career differently, to look outside the box, to motivate myself to achieve new heights. Without it, I wouldn’t be where I am today, working on the cutting edge of Financial Portfolio Management in Bloomberg."
Now I have the tools to look at data differently: I can tell a story and surface what’s important from countless data points, tables and files.
Software Engineering Team Lead, Bloomberg L.P.
According to Malin, being able to look at data differently is an important skill, especially in light of increasingly large pools of data we can access.
"Data by itself is not as meaningful as the information and insights you obtain from it", he says.
"Now I have the tools to look at data differently: I can tell a story and surface what’s important from countless data points, tables and files."
More than five years' later, Malin says that he uses what he learnt daily, and that the knowledge of Natural Language Processing he obtained during his degree was his career accelerator.
"Understanding human language by machines is the future, and this unit of study is still the one I return to, day in and day out."
The Master of Data Science is available to study on campus or online.
