Education Overview PDF Print E-mail

The educational mission of the Department of Scientific Computing (DSC) is to provide innovative, interdisciplinary undergraduate and graduate training programs in computational science and its applications. The graduate and undergraduate degree programs in the DSC are designed to provide students with a broad training in the design, implementation, and use of algorithms for solving science and engineering problems on computers.

The DSC currently offers the following degrees

The Ph.D. degree consists of several majors:

  • Ph.D. in Computational Science
  • Ph.D. in Computational Science with a Specialization in Atmospheric Science
  • Ph.D. in Computational Science with a Specialization in Biochemistry
  • Ph.D. in Computational Science with a Specialization in Biological Science
  • Ph.D. in Computational Science with a Specialization in Geological Science
  • Ph.D. in Computational Science with a Specialization in Materials Science
  • Ph.D. in Computational Science with a Specialization in Physics.

Students who choose the first major specialize in the more mathematical or computer science aspects of computational science.

The M.S. degree offers three majors:

  • M.S. in Computational Science
  • M.S. in Computational Science with a Professional Science Master's track
  • M.S. in Computational Science with a Professional Science Master's track with a Specialization in Computational Molecular Biology/Bioinformatics.

The Professional Science Master's majors are terminal Master's degree geared towards students interested in industrial or commercial employment.

Because computational science lies at the intersection of applied mathematics, applied science, engineering, and computer science, the DSC has the unique ability to offer coursework and research opportunities at all levels in topic areas that cut across disciplines. The focus of the research and training activities of the DSC is on the invention, analysis, and implementation of computational algorithms that transcend disciplines and the application of such algorithms to diverse applications, including, among others, astrophysics, bioinformatics, climate and weather modeling, computational fluid mechanics, computational geometry, computer game design, evolutionary biology, data mining, GPU computing, high-energy density physics, high-performance computing, hydrology, machine learning, material science, medical imaging, morphometrics, nano-maerials, numerical analysis, partial differential equations, phylogenetics, polymers, population genetics, scientific visualization, subsurface environmental modeling, superconductivity, systems biology, and uncertainty quantification.

Unlike the faculty of a typical department whose training and research interests lie solely within a single discipline, the faculty of the DSC includes members trained in a variety of disciplines - biology, aeronautical engineering, chemical engineering, geological sciences, electrical engineering, material sciences, mathematics, nuclear engineering, and physics. In addition, the DSC has several affiliated faculty members in other departments at FSU and at other universities, companies, and laboratories that further enhance the educational and research experiences of students in the DSC's degree programs.

In addition to offering degree programs, the DSC contributes to FSU's educational mission by offering courses of interest to students in other departments, by offering tutorials and short courses, and by managing high-performance computational resources available to the campus community.