When we launched the Master of Information and Data Science (MIDS) program in January of 2014, we knew that we were taking a calculated risk. The data science field was gaining momentum, but there weren’t many established professional data science master’s degree programs in existence. This presented the I School with the opportunity to be one of the first movers in the space and, consequently, carve out a unique role in shaping the future of data science education.
On May 2, the spring 2016 datascience@berkeley graduates presented their capstone projects in a public webinar. For the capstone project, the graduates were tasked to solve a real-world situation or problem utilizing their data science skills in communication, problem-solving, influence, and management to provide a fully realized solution.
In a recent webinar hosted by datascience@berkeley, JeanCarlo “JC” Bonilla, Director of Insight and Impact at DataKind, shared his perspective on how data science can be used to not only make better decisions about the movies we watch — but also how to make our world a better place. Participants from around the world tuned in to his one-hour presentation to listen as he explored the use of data for social good.
Data science has become an integral part of critical decision-making processes, industry trends in the workforce, and even everyday life. With this in mind, we asked students working toward a Master of Information and Data Science (MIDS) degree in the datascience@berkeley program: How data science will make an impact in the future and which industry they thought would be most affected?
Students in the Master of Information and Data Science (MIDS) program at the UC Berkeley School of Information can elect to add the advanced course Behind the Data: Humans and Values to their course of study. We asked our students to reflect on the topics covered in this course and how the course has impacted the development of their data science skills.
On January 6, the fall 2015 datascience@berkeley graduates presented their capstone projects in a public webinar — marking the culmination of their journey through the two-year program.
We asked datascience@berkeley students what variables or elements make up big data. Is big data a factor or issue of velocity, variety, or volume, or is it some mix of these?
In this webinar, presented by the UC Berkeley School of Information, host Stephen O’Sullivan—VP, Engineering at Silicon Valley Data Science—explores why a siloed approach creates unnecessary headaches, as well as how working together as a blended team can lead to better results.
On Wednesday, August 26, datascience@berkeley graduates from the inaugural class presented their capstone projects — the culminating project of a two-year program — publicly in an online webinar.