My experience as an MDSI student so far has changed my view of a big data professional, a data scientist to be more precise, completely. We not only learn how to implement algorithms on large datasets to get results, we also learn what to do with those results and how to be ethical in doing so. What sets MDSI apart from other master’s degree is the non-academic approach to learning. There is a practical component to ensure that students come out of their shell and develop crucial communication skills through blogs, where students write about their learnings within their peer community. In my opinion, MDSI is a family!
The Innovation Labs that are part of the MDSI program is a fantastic opportunity for students to work with live data to solve real-world problems. Enabling students to choose from a list of industry projects in the tech space, these iLab projects are as close to getting real work experience as possible and are an important investment in one’s career. MDSI students can explore and work with new tools and techniques in the area of their interest equipping them with the required exposure for future work to progress in their data science career path.
My mantra since starting this course has been, ‘All data has a story to tell. As a data scientist, you become a storyteller’.
With the massive explosion in data over the past few decades, it has become increasingly important to be able to mine data for valuable information. From online recommender systems in e-commerce to predicting diseases using Time-Series analysis in healthcare industry to even legally predicting the US election outcome, data science can be used to unlock the value hidden in big data and solve problems.