with Georgia Tech and Korea Advanced Institute of Science & Tech Students may pursue the BSEE degree from the Korea Advanced Institute of Science and Technology (KAIST) as they earn the BSEE or BSCmpE from Georgia Tech. KAIST offers one of the top engineering programs in Korea and the Far East. All lectures at KAIST are given in English to better serve a growing number of students from overseas. While earning their dual degrees, students spend two years each at both Georgia Tech and KAIST.

This program allows highly qualified students to receive the Bachelor of Science in either Electrical Engineering or Computer Engineering and a master's degree in Electrical and Computer Engineering.

The joint BS/MS degree program affords undergraduate electrical or computer engineering majors the opportunity to broaden their studies and improve their career prospects.

Focus: providing a curriculum that emphasizes digital design, computer architecture, computer networks and internetworking, and computer applications.

Focus: furthering the knowledge, skills, and practices associated with the study of computer-based models of natural phenomena and engineered systems.

Focus: combining the knowledge, skills, and practices associated with the study of computer-based models of natural phenomena and engineered systems with integrated principles from mathematics, computer science, and engineering to be able to create significant computational artifacts (e.g., software).

This program combines a Bachelor of Science in Computational Media with a Master of Science in Digital Media. Students who want to pursue this five-year BS/MS combination must apply to the School of Literature, Media, and Communication after completing at least 75 credit hours of work towards the bachelor's degree in Computational Media

The Bachelor of Science in Computational Media degree provides students with both hands-on and theoretical knowledge of computing, as well as an understanding of visual design and the history of media.

The Computational Data Analysis minor will provide students with the necessary mathematical and statistical background to develop and apply various data analysis techniques to real world datasets. The minor has three main objectives related to knowledge, skills, and application:

Doctoral candidates tailor a highly individualized Program of Study (typically 50 credit hours of courses beyond the bachelor's degree) to develop expertise in one of the following major specialization areas:

Focus: integrating advanced study with specialization options in the areas of construction engineering; environmental engineering; environmental fluid mechanics and water resources; geosystems engineering; structural engineering, mechanics, and materials; and transportation systems engineering