Programs of Study
School of Mathematical Sciences
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 School of Mathematical Sciences offers an interdisciplinary master of science degree in applied and computational mathematics. The objective of the program is to provide 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. Since this is an interdisciplinary program, students have the opportunity to choose from a wide variety of courses.Read More
The applied mathematics program focuses on the study and solution of problems that can be mathematically analyzed. Industry, academia, and government all have a great need for individuals with this type of education. Students choose a sequence of courses from one of more than 20 application areas that provide them with the knowledge and skills to collaborate on complex problems with scientists, engineers, computer specialists, or other analysts. Some application areas are applied statistics; biology; business; economics; chemistry; electrical, industrial, or mechanical engineering; operations research; and imaging science.
Graduates typically are employed in scientific, engineering, business, or government environments, applying their mathematics background to the analysis and solution of real-world problems.
Applied mathematics students who minor in business can earn the MBA degree from RIT with one year of additional study through careful choice of undergraduate courses.Read More
The applied statistics program provides students with a strong foundation in mathematical and statistical methodology, experience in its applications, a solid background in the use of statistical computing packages, and the skills to communicate the results of statistical analysis. This gives graduates an advantage in the fields of business, government, and industry, and also prepares them well for graduate studies.
Graduates of the program collaborate with specialists in both scientific and non-technical areas to design and conduct experiments and interpret the results. Application areas are very diverse and include product design, biostatistics, actuarial science, quality control, and statistical forecasting.Read More
Computational mathematics prepares students for a mathematical career that incorporates extensive computer science skills. In this program, much emphasis is given to the use of the computer as a tool to solve mathematically modeled physical problems. Graduates of the program often choose positions as mathematical analysts, scientific programmers, software engineers, or systems analysts. Job opportunities in private industry and government abound in this field.Read More
MS Computational Finance
The Masters of Science in Computational Finance delivers the combined strengths of Saunders College of Business and the College of Science at RIT. The program is designed for students interested in computational or quantitative finance careers in banking, finance, and a growing number of additional industries.
Also referred to as "Quants" or Financial Engineers, people in these positions use their strengths in business, modeling, and data analysis to understand and use complex financial models, often involving differential and stochastic calculus.
The program addresses a vital and growing career field, reaching beyond banking and finance. Typical job titles include: Risk Analyst, Research Associate, Quantitative Analyst, Quantitative Structured Credit Analyst, Credit Risk Analyst, Quantitative Investment Analyst, Quantitative Strategist, Data Analyst, Senior Data Analyst, Fixed Income Quantitative Analyst, and Financial Engineer. Computational Finance is an excellent career option for Business, Math, Engineering, Economics, Statistics, Computer Science, and other technically orientated professionals. Programming knowledge preferred.Read More
Undergraduates in each of the three degree programs offered by the School of Mathematical Sciences can enter an accelerated BS/MS option. Each degree program in the School of Mathematical Sciences links to a master's degree program offered by RIT, enabling students to complete a master's degree with one additional year of study.
Students may apply to the appropriate graduate program while in the fourth or fifth year of their undergraduate studies and must complete all of the admissions requirements of the graduate program. Students must also notify the Head of the School of Mathematical Sciences in writing of their intention to pursue the combined degrees.
Options for combined BS/MS programs
B.S. in Computational Mathematics and M.S. in Applied Mathematics (SMAN)
B.S. in Applied Mathematics and M.S. in Applied Mathematics (SMAI)
B.S. in Applied Statistics and M.S. in Applied Mathematics (SMAD)
B.S. in Computational Mathematics and M.S. in Computer Science (SMAK)
B.S. in Applied Mathematics (Business Concentration) and M.B.A.
B.S. in Applied Statistics (Business Concentration) and M.B.A.
B.S. in Applied Statistics and M.S. in Applied Statistics (SMAZ)
- 2012-13 Undergraduate Student Handbook
- 2013-2014 Graduate Student Handbook
- 2014-2015 Graduate Student Handbook
Calculus at RIT
Typical Course Sequence
- MS Applied and Computational Mathematics
- BS Applied Mathematics
- BS Applied Statistics
- BS Computational Mathematics