M.S. in Computational Mathematics & Statistics

M.S. in Computational Mathematics & Statistics

Duquesne University

Pittsburgh, Pennsylvania, USA
M.S. in Computational Mathematics & Statistics
Duration2 Years
LevelMasters Program
  • Computational Mathematics and Statistics is an advanced skill, a career-preparation program that culminates in a Master of Science degree
  • It is a 36 credit multidisciplinary program combining the mathematics, computer science, and statistics resources found in the Department of Mathematics and Computer Science
  • The degree takes advantage of faculty strengths: a strong commitment to teaching and active research programs in computational fields, often crossing discipline lines
  • It is a STEM Designated Degree Program and the curriculum taught by experts in mathematics, statistics, and computer science
Fees componentsAmount
Tuition & fees1761275 INR
Hostel & Meals839404 INR
Insurance130440 INR
International Services Fee9155 INR
Total978999 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
BachelorsNo specific cutoff mentioned
  • It is expected that the students applying for the program will have already demonstrated proficiency in undergraduate majors-level STEM (Science, Technology, Engineering, and Math) courses
  • In particular, to be admitted to the program typically requires that applicants have completed coursework that is at least the equivalent of a minor, preferably a major, in at least one of the three Computational Mathematics and Statistics disciplines of mathematics, statistics, or computer science
ExamsTOEFL: 80

IELTS: 7

GRE: Accepted

Additional info
  • Although not required for application, a well-prepared student will have taken some or all of the following classes, which are prerequisites for the core:
    • Mathcore: Requires two semesters of a majors-level calculus sequence
    • Statistics core: In addition to the calculus sequence required for math, requires a calculus-based probability and/or statistics course
    • Computer science core: Requires an introductory majors-level programming course in an object-oriented language such as Java or C++
  • It is expected an applicant's GRE quantitative scores to be in the top quartile. Very low verbal GRE scores can also be a detriment to admission
  • The university looks carefully at grades in majors-level math, computer science, and statistics courses, where they want to see strong performance, say, a GPA 3.5 or above on the standard 4.0 scale (no fixed numeric requirements are mentioned)
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