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The mathematical modeling Ph.D. enables you to develop mathematical models to investigate, analyze, predict, and solve the behaviors of a range of fields from medicine, engineering, and business to physics and science.
Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or stochastic, and static or dynamic, and they enable investigating, analyzing, and predicting the behavior of systems in a wide variety of fields. Through extensive study and research, graduates of the mathematical modeling Ph.D. will have the expertise not only to use the tools of mathematical modeling in various application settings but also to contribute in creative and innovative ways to the solution of complex interdisciplinary problems and to communicate effectively with domain experts in various fields.
Plan of Study
The degree requires at least 60 credit hours of coursework and research. The curriculum consists of three required core courses, three required concentration foundation courses, a course in scientific computing and high-performance computing (HPC), three elective courses focused on the student’s chosen research concentration, and a doctoral dissertation. Elective courses are available from within the School of Mathematical Sciences as well as from other graduate programs at RIT, which can provide application-specific courses of interest for particular research projects. A minimum of 30 credits hours of course work is required. In addition to courses, at least 30 credit hours of research, including the Graduate Research Seminar, and an interdisciplinary internship outside of RIT are required.
Students develop a plan of study in consultation with an application domain advisory committee. This committee consists of the program director, one of the concentration leads, and an expert from an application domain related to the student’s research interest. The committee ensures that all students have a roadmap for completing their degrees based on their background and research interests.
Entry Requirement
Admission Requirements:
Complete a graduate application.
Hold a baccalaureate degree (or equivalent) from an accredited university or college.
Submit official transcripts (in English) of all previously completed undergraduate and graduate coursework.
Have a minimum cumulative GPA of 3.0 (or equivalent) in a primary field of study.
Submit scores from the GRE.
Submit a personal statement of educational objectives and research interests.
Submit a current resume or curriculum vitae.
Submit a minimum of two letters of recommendation from academic or professional sources.
International applicants whose native language is not English must submit scores from the TOEFL, IELTS, or PTE. A minimum TOEFL score of 100 (internet-based) is required. A minimum IELTS score of 7.0 is required. The English language test score requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions.
Academic Requirements:
TOEFL: 100
IELTS: 7.0
PTE Academic: 58
English Language Requirements:
An official score report for the TOEFL, IELTS, or PTE Academic exam is required of all international applicants whose native language is not English. Please view the overall minimum score requirement for your intended program in the table below. In addition, each program requires balanced sub-scores when determining an applicant’s need for additional English language courses.
Fees
Full-Time Tuition fees
2-18 Credit Hours: $52092
9 Credit Hours: $39078
Tuition per credit hour (1-11 credit hours)
12-18 Credit Hours: $2171
9 Credit Hours: $2171
This information was accurate on : 09/04/2021 Please contact us for more information about this courses
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