Applied Mathematics & Statistics, and Scientific Computation, Doctor of Philosophy (Ph.D.)

Doctoral students must fulfill the coursework and pre-candidacy requirements of the corresponding concentration and/or pass a set of comprehensive written examinations at the Ph.D. level. 

Details on the level and distribution of coursework and examinations in mathematics and in the applications area are given on the program web site: http://www.amsc.umd.edu/programs/index.html

Students choose from one of the following concentrations:

Applied Mathematics 

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 AMSC899.

Advancement to Candidacy: Students are also required to pass three written qualifying exams, and one oral exam

1. Mathematics Written Qualifying Exam
2. Application Area Written Qualifying Exam
3. Second Mathematics Written Qualifying Exam or coursework equivalents
4. Oral Candidacy Exam

Course Title Credits
Core Requirements
Select 18 credits of courses with mathematical content with at least nine credits at the 600-898 level and three credits in Numerical Analysis18
Select six credits in an application area6
Select nine credits of electives9
Select two credits of approved seminars2
Dissertation Research Requirements
AMSC899Doctoral Dissertation Research12
Total Credits47

Applied Statistics 

Students are required to complete 18 credits of statistics core courses, six credits of application courses, three credits of electives, three credits of AMSC760, two approved seminar or RIT courses, a one credit data project, and 12 credits of AMSC899

Advancement to Candidacy: Students are also required to pass two written qualifying exams, and one oral exam

1. Mathematical Statistical Written Qualifying Exam
2. Application Statistics Written Qualifying Exam
3. Oral Candidacy Exam

Course Title Credits
Core Courses
Select 18 credits of statistics core courses18
Select six credits of application courses6
Select three credits of electives3
AMSC760Applied Statistics Practicum3
Select two approved seminar or RIT courses2
Select a one credit data project1
Dissertation Research Requirements
AMSC899Doctoral Dissertation Research12
Total Credits45

Scientific Computation 

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 AMSC899.

Advancement to Candidacy: Students are also required to pass an oral candidacy exam. 

Course Title Credits
Core Courses
Select 15 credits of scientific computing core courses15
Select six credits of core science courses6
Select six credits of scientific computing application courses6
Select nine credits of electives9
Dissertation Research Requirements
AMSC899Doctoral Dissertation Research12
Total Credits48