School of Computational Science and Engineering

to exploit the world’s most powerful supercomputers. Research in massive scale data and visual analytics and machine learning explores ways to extract useful information from the unprecedented volumes of data now appearing on the Internet and in many fields of science, engineering, and medicine. Modeling and simulation research explores new methods to exploit parallel and distributed computing platforms in order to solve challenging problems in areas such as medicine and transportation. Algorithm research builds a solid foundation spanning both continuous and discrete models. Our research is inherently interdisciplinary and includes interdepartmental collaborations and interactions that crisscross the Georgia Tech campus—and extend around the world. Our degree programs strive to create a new type of scholar who is well versed in synthesizing principles from mathematics, science, engineering and computing to create innovative computational models and apply them to solve important real-world problems. The School of CSE played a leading role in creating Georgia Tech’s interdisciplinary master’s and doctoral degree programs in computational science and engineering, which include many other schools and departments across Georgia Tech. CSE also created the first distance-learning degree in the College of Computing with an option in the CSE master’s degree program.