Announcing GalvanizeU: Accedited Master’s of Data Science


Galvanize today announced the expansion of its educational programming with the launch of GalvanizeU, offering a new accredited master’s degree program designed to address the demand for industry-ready data scientists. Galvanize has partnered with the University of New Haven to offer a 12-month Master of Engineering in Big Data beginning in January 2015 in the San Francisco Bay Area. The application period for the first class will open on Wednesday, Oct. 29. Prospective students can apply at

Two years ago, Galvanize became a leader in competency-based learning with the creation of gSchool — a six-month, comprehensive learn-to-code program producing ready-to-code programmers. Today, Galvanize is furthering its commitment to creating the education institution of the future as the first “code school” to create a fully accredited master’s degree program.

“We have spent the last two years creating a community where working and learning are in a single context – the urban campuses of Galvanize,” says Jim Deters, CEO Galvanize Inc. “The Galvanize campus consists of entrepreneurs, industry leading companies, venture capitalists, gSchool students, and now GalvanizeU data scientists are creating the most unique and industry-aligned education environment.”

The GalvanizeU master’s degree program will provide students with the skills they need to become world-class data scientists, and the Galvanize community will give students unprecedented access to hands-on skills, mentors and employers. The curriculum is an accelerated one-year program requiring students to complete 30 credits hours covering statistics, machine learning, computer science, practical coding abilities and real-world projects with industry partners.

Authorities in California and Connecticut have approved the program. Degrees will be granted by the University of New Haven, and courses will be delivered by faculty appointed by the University.

“The GalvanizeU curriculum is focused on outcomes,” said University of New Haven President Steven H. Kaplan. “Students who complete the program will acquire both knowledge and hands-on experience, an exceptional value in today’s business world.”

The University of New Haven provides the highest-quality education through collaborative and discovery-based learning. Our partnership with Galvanize makes it possible for us to offer relevant, hands-on experience and extend our leadership into the highest-growth technical sectors of the economy,” added Daniel May, University of New Haven provost and senior vice president for academic affairs.

The master’s degree program is targeting recent graduates from engineering, mathematics, computer science and other technical disciplines, as well as professionals looking to expand their skill sets and their career paths. The program will prepare graduates for leadership positions in data-centric businesses by integrating the hiring needs of employers into the curriculum and learning experiences.

“IBM estimates that 90 percent of the world’s data was created in the last two years,” commented Robert Scoble, author of Age of Context and startup liaison officer at Rackspace. “Given the massive increase in availability of data, we unfortunately don’t have enough people with the skills and expertise to make productive use of it. GalvanizeU is primed to solve this problem.”

“There is a huge demand for data scientists with skills and experience,” says Steve Allan, head of Analytics and managing director of Silicon Valley Bank. “Programs that integrate industry experience with theoretical application, such as the GalvanizeU master’s program, will provide students with the right mix of practical and hands-on education that companies are actively seeking.”

The program’s education model features:

●    Interactive classroom time with expert faculty;
●    Mentor-driven teaching from industry practitioners;
●    Opportunities to shadow practicing faculty mentors as they tackle with real-world data;
●    Lab hours when students can flex their coding muscles building data-science products and machine-learning algorithms;
●    Applied learning during supervised internships and capstone projects;

Applications will be open on Wednesday October 29th for the January 2015 commencement of the program. More information about the GalvanizeU program is available at