To learn more about our interdisciplinary graduate programs, visit the College of Computing Graduate Programs Overview page. To apply online, visit the Graduate Admission Web site.
Georgia Tech creates leaders in government, industry, and academia who define and implement computing, science, and engineering agendas. By offering both a master’s program and three different doctoral programs in computational science and engineering, Georgia Tech now offers a comprehensive postgraduate study program that explores the full scope of this expanding field.
The Computational Science and Engineering division grants or jointly participates in granting a master’s degree and PhD in Computational Science and Engineering. These interdisciplinary degrees are offered by the College of Computing, College of Engineering, and College of Sciences. Participating units from these colleges include the Computational Science and Engineering division; Department of Biomedical Engineering; and School of Aerospace Engineering, School of Civil and Environmental Engineering, School of Industrial and Systems Engineering, School of Biology, School of Chemistry and Biochemistry, and School of Mathematics. The PhD programs in bioengineering and bioinformatics also are offered jointly with other colleges.
The computational science and engineering master’s degree curriculum imparts students with solid foundational knowledge and skills, and includes technical specialization courses that enhance a student's domain expertise. Advanced elective courses will enable students to specialize in a particular domain and develop technical expertise focused on their particular interests. The optional thesis portion of the program requires completion of an interdisciplinary research project. Exposure to other disciplines teaches students how common computational science and engineering concepts are utilized and applied in different domains. This approach promotes collegiality, creates a common vocabulary, and opens doors to interdisciplinary collaborative efforts.
The computational science and engineering PhD program curriculum is designed to provide students with the practical skills and theoretical understandings they’ll need to become leaders in the field. The program emphasizes the integration and application of principles from mathematics, science, engineering, and computing to create computational models for solving important real-world problems. In conjunction with foundational courses, students develop skills to become proficient software developers on conventional computing platforms as well as high performance machines (e.g., cluster computers and supercomputers). Additional courses enable students to specialize in a domain and gain technical expertise focused on their particular interests.
Georgia Tech’s PhD program in bioengineering is an interdisciplinary graduate program offering advanced courses in bioengineering, engineering specialties, and life sciences that are combined with hands-on, cutting-edge research. Bioengineering research focuses on the development of new or improved physical and mathematical concepts and techniques that may be applied to problems in medicine and biology, including the fundamental study of biological phenomena and the development of new medical devices. Nine schools within the College of Computing and the College of Engineering and more than ninety faculty from across the College of Engineering, College of Sciences, and College of Computing participate in the program.
Georgia Tech’s PhD program in bioinformatics prepares graduate students to be leaders in the field of bioinformatics and computational biology as well as to integrate research and education on the use of information technologies in biology and medicine. Bioinformatics is a multidisciplinary field in which the physical sciences, life sciences, computer science, and engineering are merged to solve both fundamental and applied problems in biology and medicine. It is emerging as a strategic discipline at the frontier between biology, biochemistry, biomedicine, bioengineering, computer science, and mathematics, impacting fundamental science, medicine, biotechnology, and society.