Georgia Institute of Technology, Masters of Science in Computational Science and Engineering, Duration

The CSE Master's degree is a joint program between the Colleges of Computing, Sciences and Engineering. Georgia Tech's Master's degree in Computational Science and Engineering (CSE) prepares students for careers in industry, government, and academia.

Students will be well prepared for positions in the industry in areas such as engineering software systems, web technologies (e.g. search or analysis of social networks), software for consumer product and drug design, and financial engineering, to mention a few.

Graduates will be well prepared for positions in government (e.g., national laboratories) and with government contractors in software and systems for modeling and simulation, systems integration, data mining and visualization, high-performance computing, and computational modeling.

Graduates will be well prepared for staff positions in academia involving research concerned with the development and application of computational models in engineering, the sciences, and computing.

For more information on this course, you can get in touch with our admission counselors for a detailed discussion and understanding of the requirements. Just share your details and we will reach out to you for a FREE session.

The CSE Master's degree is a joint program between the Colleges of Computing, Sciences and Engineering. Georgia Tech's Master's degree in Computational Science and Engineering (CSE) prepares students for careers in industry, government, and academia.

Students will be well prepared for positions in the industry in areas such as engineering software systems, web technologies (e.g. search or analysis of social networks), software for consumer product and drug design, and financial engineering, to mention a few.

Graduates will be well prepared for positions in government (e.g., national laboratories) and with government contractors in software and systems for modeling and simulation, systems integration, data mining and visualization, high-performance computing, and computational modeling.

Graduates will be well prepared for staff positions in academia involving research concerned with the development and application of computational models in engineering, the sciences, and computing.

For more information on this course, you can get in touch with our admission counselors for a detailed discussion and understanding of the requirements. Just share your details and we will reach out to you for a FREE session.