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School of Arts & Science - Graduate Programs

In this Section

Through the School of Arts & Sciences, Clarkson offers Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) in the following areas: chemistry (including biomolecular), mathematics, physics, as well as master's (MS) degrees in computer science and information technology, and a Doctor of Physical Therapy degree. (See Programs in Physical Therapy.) Faculty and students also participate in the interdisciplinary program in Environmental Science and Engineering.

For information regarding the admission process, application procedures, degree requirements and financial assistance, see the Graduate School. To learn more about faculty members and research areas contact the appropriate department. Additional information is also available at www.clarkson.edu/graduate.

Chemistry
The Department of Chemistry and Biomolecular Science offers graduate programs leading to both M.S. and Ph.D. degrees in chemistry, including a biochemistry emphasis. Both degrees require advanced coursework along with faculty directed research culminating in a thesis and thesis defense.  Assistantships, including scholarships with stipends, are available for well qualified students.

The research interests of the faculty span a range of experimental and theoretical areas. The department is internationally recognized for work in the broad field of materials chemistry with particular strengths in colloids and nanostructured materials. Most faculty are affiliated with the University's New York State funded Center for Advanced Materials Processing (CAMP). Work has included metallic and nonmetallic particles and their applications, materials for electronic applications and their preparation, polymers, biomaterials and surface responsive polymers.  Work is also focused on environmental and health aspects of nanomaterials. A recent strength has emerged in bioanalytical and bioelectronic chemistry, including biosensors, biofuel cells as well as biocatalytic reactors and biologic devices.  Additional work has included drug synthesis and delivery control. Work in proteomics is directed toward the identification of protein biomarkers for early diagnosis of cancers and other diseases.

Excellent laboratory facilities include scanning and transmission electron microscopes, scanning probe microscopes, atomic force microscopes, atomic absorption, infrared, visible and ultraviolet spectrophotometers, nuclear magnetic resonance spectrometers, liquid scintillation, x-ray diffraction and energy dispersive x-ray, gas chromatography and high-performance liquid chromatography coupled with mass spectrometers.

Computer Science
The Department of Computer Science offers graduate programs leading to the degrees of Master of Science in Computer Science (offered jointly with  the Department of Electrical and Computer Engineering) and Doctor of Philosophy in Computer Science. These programs are designed to increase the student’s fundamental knowledge and to give the student guidance and experience in research. A graduate student pursues these objectives by taking advanced courses, participating in seminars, and carrying out and reporting on a research project. The department provides the advantage of close personal association between graduate students and faculty, giving special attention to individual needs and interests.

Faculty members are engaged in research over a wide range of subjects in computer science. Current research interests include: complexity theory, circuit complexity, proof complexity, computational learning theory, quantum information, machine learning, computer vision, image processing, medical imaging, automated deduction, software verification, cryptographic protocol analysis, virtual reality, operating systems, network secruity, and systems biology. 

Details of the  M.S. in Computer Science are in the interdisciplinary graduate programs section.

Information Technology
See the interdisciplinary graduate programs section.

Mathematics
The Department of Mathematics offers graduate programs leading to the Master of Science and Doctor of Philosophy degrees in Mathematics.  These programs are designed to increase the student's fundamental knowledge and to give the student guidance and experience in research.  A graduate student purses these objectives by taking advanced courses, participating in seminars, and carrying out and reporting on a research project.  The department provides the advantage of close personal association between graduate students and faculty, giving special attention to individual needs and interests.

Faculty members are engaged in research over a wide range of subjects in the mathematical sciences.  Current research interests include: dynamical systems, chaos, nonlinear dynamics, complex networks, critical phenomena and statistical mechanics, imaging science, functional analysis, numerical analysis, computational applied mathematics, inverse problems, optimization, hybrid and derivative-free optimization, sensitivity analysis, finite-element, multigrid, and spectral methods, fluid dynamics, atmospheric models, regional climate dynamics, computational geosciences, applied probability and statistics, multivariate and inferential statistics, application of nonparametric statistics, and biostatistics.

Physics
Graduate programs leading to degrees of Master of Science and Doctor of Philosophy are offered in the Physics Department. The programs provide a sound background in classical and modern physics, and guidance and experience in research. The department offers close personal association between graduate students and staff, giving special attention to the needs and interests of the individual.

Well-prepared students may find it possible to complete the requirements for the Master’s degree in an academic year plus a summer; however, most students will require up to two years. Doctoral candidates should expect to spend a minimum of two years beyond the Master’s in meeting degree requirements.

Active research interests in the department include: chemical physics, reaction kinetics, nonlinear phenomena, dynamics of noise-driven systems, quantum computing, nonlinear optics, solid state physics, transport properties, effects of disorder, statistical mechanics, phase transitions, scaling, finite size effects, percolation, self-avoiding walks, surface and interface physics, Monte Carlo techniques for ion-surface scattering, optics, atomic and molecular physics, biophysics, atomic force microscopy, and self assembly of nanomaterials.