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Online Master of Science in Computer Science
Are you ready to earn your master's in computer science but not ready to stop working? Do you want a top-ranked degree without the top-ranked price tag? If so, Georgia Tech has the answer.
With support from AT&T, we have created the first online Master of Science in Computer Science from an accredited university that students can earn exclusively through the "massive online" format and for a fraction of the normal cost.
This collaboration - informally dubbed "OMSCS" - has attracted thousands of applicants just like you, who are ready to pursue an advanced degree but not ready to make the sacrifices of time or money that are often required. With OMSCS, you can join computing professionals from more than 80 countries who are earning their M.S. on their own time, in their own homes, and for a total cost of about $6,500.
Are you ready to learn more about the best computing education in the world, now available to the world?
Press About OMSCS
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Georgia Tech’s Online Master’s Becomes Even More Affordable
Class Central -
Creating A Revolutionary Academic Program
Communications of the ACM -
OMSCS: The Revolution Will Be Digitized
Communications of the ACM -
Online, Cheap -- and Elite
Inside Higher Ed -
What Georgia Tech's Online Degree in Computer Science Means for Low-Cost Programs
Chronicle of Higher Education -
Georgia Tech's Pioneer Master's Reached 8,672 Students This Term
IBL News -
Most Innovative Companies: Georgia Institute of Technology
Fast Company
Upcoming Events
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Sep 12
F5 CAP Workshop
This is an event hosted by the College of Computing.
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Sep 11
College of Computing Resume Cram
This is an opportunity for GT Computing students to update their resumes for the upcoming campus career fairs.
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Sep 13
Machine Learning Seminar Series: From Sparse to Dense, and back to Sparse again? (Fuxin Li, Oregon State University)
Fuxin Li will talk about the deep point cloud convolutional backbones that he has developed in the past few years, including the most recent work PointConvFormer that outperforms grid-based convolutional approaches.
News
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Three Tech Projects Tackle Cancer With ARPA-H Support
The Georgia Institute of Technology is at the forefront of developing new technologies and solutions related to cancer detection and treatment, thanks to support from the Advanced Research Projects Agency for Health (ARPA-H).
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Machine Learning Key to Proposed App that Could Help Flood-prone Communities
A scientific machine learning (ML) expert at Georgia Tech is lending a hand in developing an app to identify and help Florida communities most at risk of flooding.
School of Computational Science and Engineering (CSE) Assistant Professor Peng Chen is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system.
CRIS-HAZARD‘s strength derives from integrating geographic information and data mined from community input, like traffic camera videos and social media posts.
This ability helps policymakers identify areas most vulnerable to flooding and address community needs. The app also predicts and assesses flooding in real time to connect victims with first responders and emergency managers.
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Computing Faculty Supporting Research That Could Cut Cancer Deaths in Half
A multi-institutional team, including Georgia Tech researchers, has received $45 million from ARPA-H to develop a surgically implantable device the size of a pinky finger, called HAMMR, which contains genetically engineered cells for real-time cancer treatment and monitoring, potentially reducing U.S. cancer-related deaths by 50%.
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Playing Hide and Seek with a New Breed of Malware Threatening Millions of Users
A new type of malware called WAE that hides in web applications has seen a dramatic increase in risks to users. Researchers at Georgia Tech's CyFI Lab have developed a tool to collaborate with service providers to remove 80% of discovered WAE malware, highlighting the need for coordinated efforts to address this hidden threat in popular online applications.
