Bachelor of Science in Information Science at Shady Grove (InfoSci)

Build a Career Using Information and Technology to Move the World Forward

THE INFOSCI DEGREE PROGRAM @ SHADY GROVE

 
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The Bachelor of Science in Information Science (InfoSci) degree program at The Universities at Shady Grove campus in Montgomery County is designed for transfer students who have completed their associate’s degree or equivalent. The InfoSci Shady Grove program teaches students skills in technical areas such as database design, information architecture, web/mobile development, data analytics, and cybersecurity alongside areas of the social sciences, leadership, and the humanities – addressing the growing and unique need for information professionals who understand complex social and organizational issues.

This innovative curriculum blends theory, practical skills, and hands-on learning, preparing our graduates to apply their skills directly and immediately in their careers. Our students work on projects with the UMD iSchool’s 400+ top industry partners and have opportunities for hands-on learning at the college’s world-renowned research centers and labs.

InfoSci graduates go on to careers in data science and analytics, database administration, UX/UI, technology development, digital curation, cybersecurity, web content and development, systems architecture, and more.

Diverse Students Walking Together on CampusThe UMD iSchool, with a history of activism and a continued mission to support social good, is a supportive and diverse community of 100 faculty and staff members and 1800+ students. Our students come to us from 37 countries with 29% from underrepresented groups and 44% female.

The Bachelor of Science in Information Science (InfoSci) is a STEM OPT certified program.

InfoSci Shady Grove courses are offered in-person. However, if there are social distancing restrictions, all courses will be offered in appropriate spaces or online.

 

 

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Recent News

A farmer tends crops in Uganda, an area where bias in AI algorithms monitoring global crop health might misinterpret data due to a lack of knowledge of local growing methods. Photo by Nuno Almeida, Dreamstime.com

A farmer tends crops in Uganda, an area where bias in AI algorithms monitoring global crop health might misinterpret data due to a lack of knowledge of local growing methods. Photo by Nuno Almeida, Dreamstime.com

UMD Co-leads $750K NSF, Amazon Project to Tackle AI Bias in Mapping

July 20, 2022 | Rachael Grahame | Maryland Today

INFO College's Dr. Sergii Skakun will play a key role in building the system that could enable fairer, safer decisions on resource distribution

Front side of Hornbake Library

BSOS, iSchool and Department of Computer Science Unveil New Undergraduate Badging Program

April 5, 2022 | iSchool News Staff

Maryland students can now earn an employer-approved stamp of data science success via a collaboration with the Greater Washington Partnership.

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