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Application Deadlines

Degree Requirements


Financial Assistance








Trivisa, Konstantina, Full Member

Distinguished Scholar-Teacher

Benedetto, John J., Full Member

Levermore, Charles D., Full Member

Levy, Doron, Full Member

Distinguished University Professor

Alexander, Millard H., Full Member

Bentley, William E., Full Member

Chellappa, Ramalingam, Full Member

Ephremides, Anthony, Full Member

Freidlin, Mark I., Full Member

Kalnay, Eugenia E, Full Member

Ott, Edward, Full Member

Tadmor, Eitan, Full Member


Agrawala, Ashok K., Full Member

Ayyub, Bilal M., Full Member

Azarm, Shapour, Full Member

Balachandran, Balakumar, Full Member

Balan, Radu, Full Member

Ball, Michael O., Full Member

Baras, John S., Full Member

Barg, Alexander, Full Member

Bernard, Peter S., Full Member

Blankenship, Gilmer L., Full Member

Bruck, Hugh Alan, Full Member

Calabrese, Richard V., Full Member

Carton, James A., Full Member

Cerrai, Sandra, Full Member

Childs, Andrew, Full Member

Coale, Frank J., Full Member

Cohen, Avis H., Full Member

Cramton, Peter, Full Member

Cummings, Michael P., Full Member

Czaja, Wojciech, Full Member

Davis, Larry S., Full Member

Dorland, William D., Full Member

Dorr, Bonnie J., Full Member

Dubayah, Ralph O., Full Member

Duncan, James H., Full Member

Einstein, Theodore L., Full Member

Elman, Howard C., Full Member

Fagan, William F., Full Member

Fitzpatrick, Patrick M., Full Member

Forni, Giovanni, Full Member

Fu, Michael C., Full Member

Gabriel, Steven A., Full Member

Gasarch, William, Full Member

Gates, Sylvester James, Jr., Full Member

Glaz, Harland M., Full Member

Golden, Bruce L., Full Member

Goldman, William M., Full Member

Greenberg, Oscar Wallace, Full Member

Grillakis, Manoussos, Full Member

Hadley, Nicholas John, Full Member

Hassam, Adil B., Full Member

Herrmann, Jeffrey W., Full Member

Hu, Bei-Lok, Full Member

Hunt, Brian R., Full Member

Jabin, Pierre-Emmanuel, Full Member

Jacobs, David, Full Member

Katz, Jonathan, Full Member

Kedem, Benjamin, Full Member

Krishnaprasad, P.S., Full Member

Lahiri, Partha, Full Member

Lee, Mei-Ling, Full Member

Lee, Sung W., Full Member

Liu, K.J. Ray, Full Member

Lovell, David J., Full Member

Madan, Dilip B., Full Member

Makowski, Armand M., Full Member

Marcus, Steven I., Full Member

Margetis, Dionisios, Full Member

Mayergoyz, Isaak, Full Member

Mount, David M., Full Member

Narayan, Prakash, Full Member

Newcomb, Robert W., Full Member

Nochetto, Ricardo H., Full Member

O'Leary, Dianne P., Full Member

Oard, Douglas William, Full Member

Okoudjou, Kasso A., Full Member

Pecht, Michael G., Full Member

Prucha, Ingmar R., Full Member

Raghavan, Subramanian, Full Member

Reggia, James A., Full Member

Reynolds, Christopher, Full Member

Rosenberg, Jonathan M., Full Member

Shamma, Shihab, Full Member

Shapiro, Benjamin, Full Member

Shayman, Mark A., Full Member

Slud, Eric Victor, Full Member

Srinivasan, Aravind, Full Member

Tits, Andre L., Full Member

Trivisa, Konstantina, Full Member

Vishkin, Uzi, Full Member

Washington, Lawrence C., Full Member

Wedel, Michel, Full Member

Zachariah, Michael R., Full Member

Zhang, Da-Lin, Full Member

Associate Professor

Akin, David L., Full Member

Alt, Francis B., Full Member

Austin, Mark A., Full Member

Baeder, James D., Full Member

Butts, Daniel, Full Member

Cameron, Maria, Full Member

Corrada Bravo, Hector, Full Member

Coughlin, Peter J., Full Member

Duraiswami, Ramani, Full Member

Evans, Michael N., Full Member

Girvan, Michelle, Full Member

Harring, Jeffrey R., Full Member

He, Xin, Full Member

Ide, Kayo, Full Member

Jank, Wolfgang, Full Member

Kingsford, Carl, Full Member

La, Richard, Full Member

Li, Yan, Full Member

Mellet, Antoine, Full Member

Momen, Bahram, Full Member

Montesi, Laurent G. J., Full Member

Neustadtl, Alan, Full Member

Paley, Derek, Full Member

Pop, Mihai, Full Member

Ryzhov, Ilya, Full Member

Sanner, Robert, Full Member

Smith, Paul J., Full Member

Song, Jiuzhou, Full Member

Swistak, Piotr T., Full Member

von Petersdorff, Tobias, Full Member

Zhu, Wenlu, Full Member

Assistant Professor

Barnes, Sean, Full Member

Bedrossian, Jacob, Full Member

Hahn, Jin-Oh, Non-Member

Larsson, Johan, Full Member

Lekic, Vedran, Full Member

Liao, Yuan, Full Member

Miyoshi, Takemasa, Full Member

Rand, William, Full Member

Senior Research Scientist

Fox-Rabinovitz, Michael, Full Member

Gumerov, Nail A., Non-Member

Associate Research Professor

Deane, Anil E., Full Member

Zimin, Alexey, Full Member

Research Professor

Kishek, Rami Alfred, Full Member

Valliant, Richard L., Full Member

Assistant Research Professor

Kiemel, Tim, Adjunct Member

Penny, Stephen, Full Member

Adjunct Professor

Nava-Tudela, Alfredo, Adjunct Member


Lele, Shreevardhan, Full Member

Distinguished University Professor Emeritus

Antman, Stuart S., Full Member

Yorke, James A., Full Member

Professor Emerita

Yang, Grace L., Full Member

More AMSC Faculty Information

Applied Mathematics & Statistics, and Scientific Computation (AMSC)   

Program Title and Classification

Applied Mathematics & Statistics, and Scientific Computation

Graduate Degree Program

College: Computer, Mathematical, and Natural Sciences


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, and 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 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 in the student's chosen area of application. Graduate students currently pursue studies in the applications areas such as meteorology, fluid dynamics, algorithm development, pattern recognition, operations research, mathematical finance, computational dynamics, structural mechanics, mathematical biology, and systems and control theory. Other areas of study are available through participating departments. All students must include numerical analysis or scientific computing courses in their program of study.


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 emphasis on data analytics and presentation skills. In addition, students will take a minimum of six credits in an outside application area.


The Concentration in Scientific Computation emphasizes the application of computation to the physical sciences, life sciences, engineering, business, and social sciences. Students will receive training in the use of computational techniques and associated information technology with correspondingly less emphasis on formal mathematical methods in comparison 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 master’s 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

General Requirements:

Program-Specific Requirements:

  • Letters of Recommendation (3)
  • Graduate Record Examination (GRE)
  • CV/Resume
  • Publications/Presentations
  • GRE Subject (strongly recommended/not required)
  • Advanced Textbooks: Textbooks of Advanced Technical Courses taken are to be submitted in the Advanced Textbooks section of online application. Please see the AMSC website for further details.

In addition to the Graduate School requirements, applicants are required to take the GRE general examination. The applicants are encouraged to take the GRE subject examination in either mathematics or another 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 linear algebra.

Admission will be based on the applicant’s ability to do graduate work in either applied mathematics, applied statistics, 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 formed and approved by the AMSC Graduate Committee. The advisory 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, applied statistics, or scientific computation.

For more admissions information, please visit

To apply to the program, please visit our Graduate School website: 

Application Deadlines

Type of Applicant Fall
Domestic Applicants:
US Citizens and Permanent Residents
10 Jan
International Applicants:
F (student) or J (exchange visitor) visas
A,E,G,H,I and L visas and immigrants.
10 Jan

Other Deadlines: Please visit the program website at

Degree Requirements

Master of Science (M.S.)

Core Requirements
Applied Mathematics concentration:


Thesis option requires 24 credits of coursework including 12 credits at the 600-800 level, 12 credits in courses with primarily math content, three credits in Numerical Analysis, one credit of Applied Math or appropriate seminar, and six credits in an application area. Students are also required to complete six credits of AMSC 799: Master's Thesis Research.

Non-thesis option requires 30 credits of coursework including 18 credits at the 600-800 level, 15 credits with primarily math content, three credits in Numerical Analysis, six credits in an application area, and one credit of Applied Math or appropriate seminar. Students are also required to submit a scholarly paper, and pass the master's level Qualifying Exam Requirement.

Applied Statistics concentration:


Thesis option requires 24 credits of coursework including 18 credits of statistics core courses, six credits in an application area, and one credit of seminar. Students are also required to complete six credits of AMSC 799: Master's Thesis Research.

Non-thesis option requires 30 credits of coursework including 18 credits of statistics core courses, six credits in an application area, six credits of electives, two credits of seminar, and one credit of AMSC 762: Data Analysis Project. Students are also required to pass three qualifying exams, and submit a scholarly paper.

Scientific Computation concentration:


Thesis option requires 24 credits of coursework including nine credits of scientific computing core courses, six credits of core science courses, and three credits of scientific computing application courses. Students must also complete six credits of AMSC 799: Master's Thesis Research.

Non-thesis option requires 30 credits of coursework including 15 credits of scientific computing core courses, six credits of core science courses, three credits of scientific computing application courses, and six credits of electives. Students must also submit a scholarly paper.



Doctor of Philosophy (Ph.D.)

Core Requirements
Applied Mathematics concentration:


Students are required to complete 18 credits of courses with mathematical content with at least nine credits at the 600-898 level, and three credits in Numerical Analysis. Additional course requirements include six credits in an application area, nine credits of electives, two credits of approved seminars, and 12 credits of AMSC 899: Doctoral Dissertation Research.

Applied Statistics concentration:


Students are required to complete 18 credits of statistics core courses, six credits of application courses, three credits of electives, three credits of AMSC 760: Applied Statistics Practicum, two approved seminar or RIT courses, a one credit data project, and 12 credits of AMSC 899: Doctoral Dissertation Research.

Scientific Computation concentration:


Students are required to complete 15 credits of scientific computing core courses, six credits of core science courses, six credits of scientific computing application courses, nine credits of electives, and 12 credits of AMSC 899: Doctoral Dissertation Research.


For the Ph.D. degree, the student must fulfill the coursework requirement of the corresponding concentration and/or 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. 


Details on the level and distribution of coursework and examinations in mathematics and in the applications area are given on the program web site:


Facilities and Special Resources

There are over 25 participating departments and institutes on the College Park campus, including units in the College of Computer, Mathematical, and Natural Sciences and the School of Engineering. The university has an engineering technical library as well as a network of high performance workstations for faculty and graduate students. In addition, there are collaborations with various area research institutes such as NASA Goddard Space Flight Center, National Institutes of Health, National Institute of Standards and Technology, Naval Research Laboratory, and National Oceanic and Atmospheric Administration.

Financial Assistance

The program offers teaching assistantships in the Department of Mathematics as a source of support for graduate students. These assistantships carry a stipend with remission of tuition of up to 10 credit hours each semester. 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 incoming Ph.D. students; applications including letters of recommendation should be completed by January 10 for full consideration.

Contact Statement

For more specific information, visit the program FAQ or email



Jessica Sadler,Program Coordinator

3103 Mathematics Building

College Park MD, 20742

Telephone: (301) 405-0924


Associated Information




Interdisciplinary program in applied mathematics, statistics and scientific computation that includes over 25 departments, including: Math, Engineering, Physics, Meteorology, Computer Science, Operations Research, Economics, and Biology.


Aerospace Engineering (ENAE)

Animal Sciences (ANSC)

Astronomy (ASTR)

Atmospheric and Oceanic Science (AOSC)

Biological Sciences (BISI)

Business and Management (BPHD)

Chemical Engineering (ENCH)

Civil and Environmental Engineering (ENCE)

Computer Science (CMSC)

Economics (ECON)

Electrical and Computer Engineering (ENEE)

Geology (GEOL)

Government and Politics (GVPT)

Mechanical Engineering (ENME)

Physics (PHYS)