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University of Maryland
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Applied Mathematics & Statistics, and Scientific Computation (AMSC)
Faculty
Director
Trivisa, Konstantina,
Distinguished Scholar-Teacher
Benedetto, John J.,
Fu, Michael C.,
Gates, Sylvester James, Jr.,
Redish, Edward F.,
Distinguished University Professor
Antman, Stuart S.,
Freidlin, Mark I.,
Kalnay, Eugenia E,
Ott, Edward,
Tadmor, Eitan,
Yorke, James A.,
Professor
Agrawala, Ashok K.,
Akin, David L.,
Almon, Clopper,
Alt, Francis B.,
Ayyub, Bilal M.,
Azarm, Shapour,
Baer, Ferdinand,
Ball, Michael O.,
Banerjee, Manoj K.,
Baras, John S.,
Barg, Alexander,
Bernard, Peter S.,
Betancourt, Roger R.,
Blankenship, Gilmer L.,
Bodin, Lawrence D.,
Boyle, Michael ,
Brill, Dieter R.,
Calabrese, Richard V.,
Carton, James A.,
Chellappa, Ramalingam ,
Coale, Frank J.,
Cohen, Avis H.,
Cramton, Peter,
Davis, Larry S.,
De Claris, Nicholas,
Donaldson, Bruce K.,
Dorfman, J. Robert,
Dragt, Alex J.,
Dubayah, Ralph O.,
Einstein, Theodore L.,
Elman, Howard C.,
Ephremides, Anthony,
Fitzpatrick, Patrick M.,
Gasarch, William,
Gentry, James W.,
Glaz, Harland M.,
Golden, Bruce L.,
Goldman, William M.,
Greenberg, Oscar Wallace,
Griffin, James J.,
Grillakis, Manoussos,
Hadley, Nicholas John ,
Hassam, Adil B.,
Healy, Dennis M. ,
Hu, Bei-Lok,
Hunt, Brian R.,
Jacobs, David,
Kedem, Benjamin,
Kelejian, Harry H.,
Kim, Young Suh,
Korenman, Victor,
Krishnaprasad, Perinkulam,
Kueker, David W.,
Lee, Sung W.,
Levermore, Charles D.,
Liu, K.J. Ray,
Madan, Dilip B.,
Makowski, Armand M.,
Marcus, Steven I.,
Mayergoyz, Isaak,
Michel Wedel,
Mount, David M.,
Narayan, Prakash,
Newcomb, Robert W.,
Nochetto, Ricardo H.,
O'Leary, Dianne P.,
Ostriker, Eve C.,
Pecht, Michael G.,
Piomelli, Ugo ,
Prucha, Ingmar R.,
Reggia, James A.,
Reynolds, Christopher,
Rosenberg, Jonathan M.,
Shamma, Shihab A. ,
Shayman, Mark A.,
Slud, Eric Victor,
Thirumalai, Devarajan,
Tits, Andre L.,
Trivisa, Konstantina,
Tzavaras, Athanasios E. ,
Wallace, Stephen J.,
Washington, Lawrence C.,
Wolfe, Peter,
Yang, Grace L.,
Zachariah, Michael R. ,
Zhang, Da-Lin,
Professor Emerita
Basili, Victor R.,
Professor Emeritus
McAvoy, Thomas J.,
Associate Professor
Balan, Radu,
Coughlin, Peter J.,
Czaja, Wojciech
,
Dorland, William D.,
Dorr, Bonnie J.,
Evans, Michael N.,
Fagan, William F. ,
Herrmann, Jeffrey W.,
Horiuchi, Timothy K. ,
Levy, Doron,
Margetis, Dionisios,
Momen, Bahram,
Oard, Douglas William,
Raghavan, Subramanian,
Rami Alfred Kishek ,
Sanner, Robert,
Schwartz, Charles W.,
Shapiro, Benjamin,
Shih, Tien-Mo,
Smith, Paul J.,
Swistak, Piotr T.,
Tretter, Steven A.,
Zafiriou, Evanghelos,
von Petersdorff, Tobias,
Senior Research Scientist
Fox-Rabinovitz, Michael ,
Associate Research Professor
Deane, Anil E. ,
Associate Research Scientist
Szunyogh, Istvan ,
Assistant Professor
Bruck, Hugh A. ,
Gabriel, Steven A.,
Hier-Majumder, Saswata,
Ide, Kayo,
Jank, Wolfgang,
Katz, Jonathan ,
Kingsford, Carl,
Lele, Shreevardhan,
Montesi, Laurent G. J.,
Pop, Mihai,
Shmueli, Galit,
Siewerdt, Frank,
Song, Jiuzhou ,
Zhu, Wenlu,
Assistant Research Scientist
Kishek, Rami Alfred ,
Adjunct Professor
Duraiswami, Ramani,
Gumerov, Nail A.,
Abstract
The interdisciplinary program in Applied Mathematics & Statistics, and Scientific Computation (AMSC) offers graduate study leading to Master of Science and Doctor of Philosophy degrees with concentrations in applied mathematics, applied statistics or scientific computation. It also offers a Certificate in Scientific Computation to graduate students enrolled in other University Ph.D. programs. The Faculty is drawn from many disciplinary departments throughout the University. Possible areas of application include the physical, chemical, biological, and social sciences, and engineering. The Program receives substantial support from the Department of Mathematics (MATH), the Center for Scientific Computation and Mathematical Modeling (CSCAMM), and the Institute for Physical Science and Technology (IPST). AMSC offers a spectrum of courses at the forefront of computation and applications, as well as state-of-the-art computational, visualization and networking facilities.
The Concentration in Applied Mathematics trains individuals who are able to enhance their understanding of a wide spectrum of scientific phenomena through the application of rigorous mathematical analysis. At least half of the required work is expected to be in courses with primarily mathematical content; the remaining courses must apply to a field outside of the usual mathematics curriculum. Graduate students currently pursue studies in the applications areas of meteorology, algorithm development, pattern recognition, operations research, mathematical finance, computational dynamics, structural mechanics, mathematical biology, and systems and control theory. Many other areas of study are available through the participating departments. All students must include courses on numerical analysis or scientific computing in their programs.
The Concentration in Applied Statistics emphasizes acquisition of advanced training in the area of statistical application along with statistical topics and development of mathematical and computing skills necessary for the modern applied statistician. Students are required to take a series of core statistical and computational courses with more emphisis on data analytics and presentation skills. In addition to that, students will make take a minimum of six credits in an application area that suits their interest.
The Concentration in Scientific Computation emphasizes the application of computation to the physical sciences, life sciences, engineering, business, and social science. Students will receive training in the use of computational techniques and associated information technology with correspondingly less emphasis on formal mathematical methods in comparision to the Concentration in Applied Mathematics. Every Scientific Computation student is required to apply the training in computation to a problem in a specific scientific discipline.
A masters degree program in all concentrations with an emphasis on numerical analysis, computational methods, probability and statistics is excellent preparation for industrial or government employment.
Admissions Information
In addition to the Graduate School requirements, applicants are required to take the GRE general examination. The applicants are strongly encouraged to take the GRE subject examination in either mathematics or some other scientific topic. Applicants should have at least a "B" average (3.0 on a 4.0 scale)and should have completed an undergraduate program of study that includes a strong emphasis on rigorous mathematics, preferably through the level of advanced calculus and matrix theory. Admission will be based on the applicant's capability to do graduate work in either applied mathematics or scientific computation as demonstrated by the letters of recommendation, grades in coursework, and program of study. In some circumstances, a provisional admission may be given to applicants whose mathematical training is not sufficiently advanced. Previous education in an application area, such as physics, biology, economics or one of the engineering disciplines, and a basic competence in computational techniques will be favorably considered in a student's application, although this is not a prerequisite. When a student has decided upon an area of specialization, an advisory committee is appointed by the Program Director. This committee is responsible for formulating with the student a course of study that leads toward the degree sought. This course of study must constitute a unified, coherent program in an acceptable field of specialization of applied mathematics and must meet with the approval of the Graduate Committee for Applied Mathematics.
Application Deadlines
Fall
Spring
Domestic Applicants:
U.S. Citizens and Permanent ResidentsDomestic Applicant Deadlines
Applications must be received by February 1 (January 10 preferred) .
Applications must be received by October 1 (September 15 preferred) .
International Applicants:
Applicants from Outside the U.S. or U.S. Citizens / Permanent Residents with Non-U.S. Credentials
IMPORTANT: International Applicants and U.S. Applicants with Non-U.S. Credentials must follow the domestic deadlines above if they are earlier than the deadlines listed below.
Applicants seeking admission under F (Student) or J (Exchange Visitor) visas
February 1
If Domestic Deadline is after Feb. 1June 1
If Domestic Deadline is after Jun. 1Applicants seeking admission under A, E, G, H, I, and L visas and immigrants
May 1
If Domestic Deadline is after May 1
October 1
If Domestic Deadline is after Jun. 1
U.S. Citizens and Permanent Residents with foreign credentials
May 15
If Domestic Deadline is after May 15
October 31
If Domestic Deadline is after Oct.31Application Requirements
- GRE General, (GRE Subject-Optional)
- 3 Letters of Recommendation
Degree Requirements
Master of Science (M.S.)
For the master's degree, the Program offers a thesis and non- thesis option. For Applied Mathematics and Scientific Computation concentrations, in the thesis option, 24 credits of coursework are required with at least six more credits of thesis work. In the non-thesis option for these two concentrations, 30 credits of coursework are required and the student must pass a set of comprehensive examinations. A scholarly paper is also required. In both options, the student must participate at least one semester in the Applied Mathematics Seminar.
For Applied Statistics concentration, in the thesis option, 25 credits of coursework are required including one seminar credit, with at least six more credits of thesis work. In the non-thesis option, 33 credits of coursework are required including two seminar credits and the student must pass a set of comprehensive examinations. A scholarly paper is also required.
Doctor of Philosophy (Ph.D.)
For the Ph.D. degree, the student must fulfill the coursework requirement of the corresponding concrentration and pass a set of comprehensive written examinations at the Ph.D. level. In addition, the student must pass the Oral Candidacy Examination, which tests the student on advanced material to determine if he or she is prepared to do the research for a doctoral dissertation. At least 12 credits of dissertation work are required. The doctoral student must also participate in at least two semesters in the Applied Mathematics Seminar.
All M.S. and Ph.D. students must take at least one semester of numerical analysis. Details on the level and distribution of coursework and examinations in mathematics and in the applications area are given in the policy brochure of the Applied Mathematics Program available at the Applied Mathematics Office. Further information on the Interdisciplinary Applied Mathematics Program may be found at the web site: http://www.amsc.umd.edu/.
Facilities and Special Resources
There are fourteen participating departments and institutes on the College Park campus, including units in the College of Computer, Mathematical, and Physical Sciences and the School of Engineering. The Program is strengthened further by a complement of faculty drawn from departments around the campus. The University has an excellent technical library as well as an extensive network of high performance workstations for faculty and graduate students. In addition, there are links to various area research institutes: NASA Goddard Space Flight Center, National Institutes of Health, National Institute of Standards and Technology, Naval Research Laboratory, National Oceanic and Atmospheric Administration.
Financial Assistance
The Program often offers teaching assistantships in the Department of Mathematics as a source of support for graduate students. These assistantships carry a stipend plus remission of tuition of up to 10 credit hours each semester. Some research assistantships are also available through participating departments and other sources, especially for students that have acquired advanced training. Assistantships are usually available only to students entering in the Fall; applications including letters of recommendation should be completed by January 10 for full consideration.
Contact Information
For more specific information, contact:
Alverda McCoy,
Program Coordinator
3103 Mathematics Building,
College Park
MD
20742
Telephone: (301) 405-0924
Fax: (301) 314-1308
amsc@amsc.umd.edu
http://www.amsc.umd.edu/
current URL: http://www.gradschool.umd.edu/catalog/programs/printable.cfm?CODE=221
Copyright
2001 University of Maryland