Applied and Computational Mathematics MS


Graduate Admissions Counselor

Keith Davis
585-475-7223, krdges@rit.edu


Department Contact

Matthew Hoffman, Ph.D.
585-475-4209, mjhsma@rit.edu


Admission Deadlines & Requirements

Program Available Online? No
Application Deadline Priority deadline February 15, rolling thereafter
Admit Term Fall
Entrance Exam None
Other
English Language Exams:
TOEFL (Internet) 79
IELTS 6.5
PTE Academic 58

 

Priority deadline - COMPLETE applications that are received by this date are given priority consideration for admission and financial aid (if applicable). Applications received after the priority deadline will be considered on a space-available basis.

Rolling - There is no specific deadline for applications; applications will be accepted and reviewed throughout the year until the program reaches capacity.

Program overview

The ideas of applied mathematics pervade several applications in a variety of businesses and industries as well as government. Sophisticated mathematical tools are increasingly used to develop new models, modify existing ones, and analyze system performance. This includes applications of mathematics to problems in management science, biology, portfolio planning, facilities planning, control of dynamic systems, and design of composite materials. The goal is to find computable solutions to real-world problems arising from these types of situations.

The master of science degree in applied and computational mathematics provides students with the capability to apply mathematical models and methods to study various problems that arise in industry and business, with an emphasis on developing computable solutions that can be implemented. The program offers concentrations in discrete mathematics, dynamical systems, and scientific computing. Electives may be selected from the graduate course offerings in the School of Mathematical Sciences or from other graduate programs, with approval from the graduate program director. Students complete a thesis, which includes the presentation of original ideas and solutions to a specific mathematical problem. The proposal for the thesis work and the results must be presented and defended before the advisory committee.

Curriculum

Applied and computational mathematics, MS degree, typical course sequence

Course Sem. Cr. Hrs.
First Year
Choose four of the following core courses: 12
   MATH-601    Methods of Applied Mathematics   
   MATH-602    Numerical Analysis I   
   MATH-605    Stochastic Processes  
   MATH-622    Mathematical Modeling I  
   MATH-645    Graph Theory  
   MATH-722    Mathematical Modeling II  
  Concentration Course 3
MATH-606, 607 Graduate Seminar 2
  Elective 3
Second Year
  Concentration Course 3
  Electives 6
MATH-790 Thesis 7
Total Semester Credit Hours 36

Concentration courses

Course
Discrete mathematics 
MATH-646 Combinatorics
MATH-671 Number Theory
MATH-771 Mathematics of Cryptography
Dynamical systems
MATH-631 Dynamical Systems
MATH-741 Partial Differential Equations I
MATH-742 Partial Differential Equations II
Scientific computing
MATH-702 Numerical Analysis II
MATH-712 Numerical Methods for Partial Differential Equations
  High-performance Computing Course

 

Admission requirements

To be considered for admission to the MS program in applied and computational mathematics, candidates must fulfill the following requirements:

  • Complete a graduate application.
  • Hold a baccalaureate degree (or equivalent) from an accredited university or college in mathematics or a related field. 
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
  • Have knowledge of a programming language.
  • Have a minimum cumulative GPA of 3.0 (or equivalent).
  • Submit a personal statement of educational objectives. 
  • Submit 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 79 (internet-based) is required. A minimum IELTS score of 6.5 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.

Although Graduate Record Examination (GRE) scores are not required, submitting them may enhance a candidate's acceptance into the program.

A student may also be granted conditional admission and be required to complete bridge courses selected from among RIT’s existing undergraduate courses, as prescribed by the student’s adviser. Until these requirements are met, the candidate is considered a nonmatriculated student. The graduate program director evaluates the student’s qualifications to determine eligibility for conditional and provisional admission.

Additional information

Cooperative education

Cooperative education enables students to alternate periods of study on campus with periods of full-time, paid professional employment. Students may pursue a co-op position after their first semester. Co-op is optional for this program.

Part-time study

The program is ideal for practicing professionals who are interested in applying mathematical methods in their work and enhancing their career options. Most courses are scheduled in the late afternoon or early evening. The program may normally be completed in two years of part-time study.

Nonmatriculated students

A student with a bachelor’s degree from an approved undergraduate institution, and with the background necessary for specific courses, may take graduate courses as a nonmatriculated student with the permission of the graduate program director and the course instructor. Courses taken for credit may be applied toward the master’s degree if the student is formally admitted to the program at a later date. However, the number of credit hours that may be transferred into the program from courses taken at RIT is limited for nonmatriculated students.


Career Outcomes

The RIT Office of Career Services and Cooperative Education website provides information pertaining to student skills and capabilities, salary data, career information, job outcomes, and contact information for the Career Services Coordinator by program.


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