What is a Data Science bootcamp?
Bootcamps are short, educational programs where students gain practical data science knowledge. Students are taught how to use various programming tools, such as Python or R. Then they develop a portfolio of 4-5 projects that showcase the skills they have learned. Bootcamps benefit those who already have real-world experience in the field and want to accelerate their careers.
How is a Data Science Master’s degree different?
Data Science and UMBC
The Data Science graduate program at UMBC was designed to respond to the growing regional and national demand for professionals with data science knowledge, skills, and abilities. The program consists of 10 classes. In the core courses, students learn how to manage data, how to apply algorithms to data, and how to analyze data. The core courses will also introduce students to ethical and legal implications surrounding data science. There are also courses that focus on management, leadership and communications, which are important skills to have in any field.
Once students have completed their core courses, they choose a pathway that allows them to work in a particular domain to take classes specific to their industry. The last class every student in this program takes is the Capstone. Students will work with real clients and use real data to come up with a project. Students can use their projects as a portfolio they can show to future employers. Formal education like the UMBC program offers comprehensive exposure to this exciting field. Learn more about UMBC’s Data Science program here.