UBC MDS

Recently, my team and I wrapped up our two-month long capstone project with Unbounce. The completion of the capstone marks the end of my Master of Data Science — Computational Linguistics program (MDS-CL) at the University of British Columbia, as well as the transition from being a student, the encapsulation... [Read More]

During the last two months of the UBC Master of Data Science program (typically May & June each year) we have Capstone projects, in which our students work in teams of ~4 students with an external capstone partner and a UBC mentor to address a question facing the capstone partner’s... [Read More]

R and Python are the two leading languages used in industry and academia for data analysis. Thus, to best prepare students in the University of British Columbia’s course-based, professional Master of Data Science (MDS) program to be competitive and perform on the job market, we have made an explicit decision... [Read More]

How can we train effective data scientists? Traditional lecture/lab-based courses typically involve prescribed and well-defined examples, and we found this format very effective for foundational courses that focus on a particular area of statistics, machine learning or computer programming. However, real-world data science differs greatly from these courses: data is... [Read More]

One of the things that drew to me data science is its applicability to pretty much any field you can name: technology, healthcare, finance, retail, education, government, entertainment, agriculture, real estate, etc. There’s no domain too large or small and no organization that would not benefit from having a data... [Read More]