Applied Statistics and Actuarial Science Bachelor of science degree
Applied Statistics and Actuarial Science
Bachelor of science degree
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 Rochester Institute of Technology /
 Academics /
 Applied Statistics and Actuarial Science BS
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School of Mathematical Sciences
Using statistics, probability, and computing, statisticians apply their knowledge of statistical methods—the collection, processing, and analysis of data and its interpretation—to a variety of areas, including biology, economics, engineering, medicine, public health, psychology, marketing, and sports.
Overview
 Recent applied statistics graduates are employed at Freehold Capital Management, Qool Media, Excellus BlueCross BlueShield, 3M, and General Electric.
 Join the PiRIT, a student club that fosters a community of students and faculty in mathematics and statistics who share the goal of enriching student understanding of the broad range of mathematics beyond the classroom.
The applied statistics and actuarial science degree will provide you with a strong foundation in 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. The actuary degree gives you an advantage in the fields of business, government, and industry, and also prepares you for advanced study in graduate school. You'll collaborate with specialists in both scientific and nontechnical areas to design and conduct experiments and interpret the results. Diverse application areas for graduates include product design, biostatistics, actuarial science, quality control, and statistical forecasting.
As an accelerated dual degree program that allows students to earn a BS and an MS with one additional year of graduate study, the applied statistics and actuarial science degree provides you 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. The actuary degree gives you an advantage in the fields of business, government, and industry, and also prepares you for advanced study in graduate school. You'll collaborate with specialists in both scientific and nontechnical areas to design and conduct experiments and interpret the results. Diverse application areas for graduates include product design, biostatistics, actuarial science, quality control, and statistical forecasting.
Educational Approach
Early courses are designed to give you a foundation in calculus, statistics, algebra, and computer science. Application areas are very diverse and include product design, biostatistics, actuarial science, quality control, and statistical forecasting.
Real World Experiences
Students collaborate with specialists in both scientific and nontechnical 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.
Nature of Work
Statisticians contribute to scientific inquiry by applying their mathematical and statistical knowledge to the design of surveys and experiments; collection, processing, and analysis of data; and interpretation of the results. Statisticians may apply their knowledge of statistical methods to a variety of subject areas, such as biology, economics, engineering, medicine, public health, psychology, marketing, education, and sports. Many economic, social, political, and military decisions cannot be made without the use of statistical techniques, such as the design of experiments to gain federal approval of a newly manufactured drug. In industry, statisticians play an important role in quality control and product/process improvement based on data analysis.
National Labs Career Fair
Hosted by RIT’s Office of Career Services and Cooperative Education, the National Labs Career Fair is an annual event that brings representatives to campus from the United States’ federally funded research and development labs. These national labs focus on scientific discovery, clean energy development, national security, technology advancements, and more. Students are invited to attend the career fair to network with lab professionals, learn about opportunities, and interview for coops, internships, research positions, and fulltime employment.
Graduate School
Advanced Degrees
Graduate programs offered by the School of Mathematical Sciences introduce students to rigorous advanced applied mathematical and statistical methodology. Students realize the potential for that cuttingedge methodology as a general tool in the study of exciting problems in science, business, and industry. The school offers the following advanced degrees: an advanced certificate in applied statistics, master of science degrees in applied and computational mathematics and applied statistics, and a doctorate degree in mathematical modeling.
Accelerated 4+1 MBA option
An accelerated 4+1 option is available for students who wish to earn a BS in applied statistics and actuarial science and an MBA. The option is offered in conjunction with Saunders College of Business and allows students to obtain both degrees in five years of study.
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Industries

Biotech and Life Sciences 
Defense 
Government (Local, State, Federal) 
Health Care 
Insurance 
Investment Banking 
Telecommunications
Typical Job Titles
Actuary  Operations Research Analyst 
Financial Analyst  Teacher (secondary or postsecondary) 
Market Research Specialist  Data Analyst (e.g. biological, clinical trial) 
Quality Assurance Engineer/Analyst  Biostatistician 
Underwriter  Statistician 
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Dr. Tony Wong
Mathematics is a powerful tool for answering questions. From mitigating climate risks to splitting the dinner bill, Professor Wong shows students that math is more than just a prerequisite.
Curriculum for Applied Statistics and Actuarial Science BS
Applied Statistics and Actuarial Science, BS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CSCI101  General Education – Elective: Principles of Computing This course is designed to introduce students to the central ideas of computing. Students will engage in activities that show how computing changes the world and impacts daily lives. Students will develop stepbystep written solutions to basic problems and implement their solutions using a programming language. Assignments will be completed both individually and in small teams. Students will be required to demonstrate oral and written communication skills through such assignments as short papers, homeworks, group discussions and debates, and development of a term paper. Lecture 3 (Fall). 
3 
MATH181  General Education – Mathematical Perspective A: ProjectBased Calculus I This is the first in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A or better in MATH111 or A or better in ((NMTH260 or NMTH272 or NMTH275) and NMTH220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). 
4 
MATH182  General Education – Mathematical Perspective B: ProjectBased Calculus II This is the second in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C or better in (MATH181 or MATH173 or 1016282) or (MATH171 and MATH180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). 
4 
MATH199  Mathematics and Statistics Seminar This course introduces the programs within the School of Mathematical Sciences, and provides an introduction to math and statistics software. The course provides practice in technical writing. Seminar 1 (Fall). 
1 
YOPS10  RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their firstyear experiences, receive feedback, and develop a personal plan for future action in order to develop foundational selfawareness and recognize broadbased professional competencies. Lecture 1 (Fall, Spring). 
0 
General Education – Elective 
3  
General Education – FirstYear Writing (WI) 
3  
General Education – Ethical Perspective 
3  
General Education – Artistic Perspective 
3  
General Education – Natural Science Inquiry Perspective‡ 
4  
Second Year  
MATH200  Discrete Mathematics and Introduction to Proofs This course prepares students for professions that use mathematics in daily practice, and for mathematics courses beyond the introductory level where it is essential to communicate effectively in the language of mathematics. It covers various methods of mathematical proof, starting with basic techniques in propositional and predicate calculus and set theory, and then moving to applications in advanced mathematics. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 3, Recitation 4 (Fall). 
3 
MATH251  Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH173 or MATH182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). 
3 
MATH252  Probability and Statistics II This course covers basic statistical concepts, sampling theory, hypothesis testing, confidence intervals, point estimation, and simple linear regression. The statistical software package MINITAB will be used for data analysis and statistical applications. (Prerequisites: STAT251 or MATH251 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
MATH399  Mathematical Sciences Job Search Seminar This course helps students prepare to search for coop or fulltime employment. Students will learn strategies for conducting a successful job search and transitioning into the work world. The course meets one hour each week for five weeks. Lecture 1 (Fall, Spring). 
0 
Choose one of the following:  4 

MATH221  General Education – Elective: Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vectorvalued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH219. (Prerequisite: C or better MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). 

MATH221H  General Education – Elective: Honors Multivariable and Vector Calculus 

Choose one of the following:  3 

MATH241  Linear Algebra This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH190 or MATH200 or MATH219 or MATH220 or MATH221 or MATH221H or equivalent course.) Lecture 3 (Fall, Spring). 

MATH241H  Honors Linear Algebra 

Open Elective 
3  
General Education – Elective 
3  
General Education – Global Perspective 
3  
General Education – Social Perspective 
3  
General Education – Scientific Principles Perspective‡ 
4  
Third Year  
MATH255  Actuarial Mathematics This course provides challenging problems in probability whose solutions require a combination of skills that one acquires in a typical mathematical statistics curriculum. Course work synthesizes basic, essential problemsolving ideas and techniques as they apply to actuarial mathematics and the first actuarial exam. (Prerequisites: MATH251 or 1016345 or equivalent course.) Lecture 3 (Spring). 
3 
MATH261  Topics in the Mathematics of Finance This course examines concepts in finance from a mathematical viewpoint. It includes topics such as the BlackScholes model, financial derivatives, the binomial model, and an introduction to stochastic calculus. Although the course is mathematical in nature, only a background in calculus (including Taylor series) and basic probability is assumed; other mathematical concepts and numerical methods are introduced as needed. (Prerequisites: (MATH219 or MATH221 or MATH221H) and (STAT145 or STAT145H or MATH251) or equivalent courses.) Lecture 3 . 
3 
STAT305  Regression Analysis This course covers regression techniques with applications to the type of problems encountered in realworld situations. It includes use of the statistical software SAS. Topics include a review of simple linear regression, residual analysis, multiple regression, matrix approach to regression, model selection procedures, and various other models as time permits. (Prerequisites: MATH241 and MATH252 or equivalent courses.) Lecture 3 (Spring). 
3 
STAT325  Design of Experiments (WIPR) This course is a study of the design and analysis of experiments. It includes extensive use of statistical software. Topics include singlefactor analysis of variance, multiple comparisons and model validation, multifactor factorial designs, fixed, random and mixed models, expected mean square calculations, confounding, randomized block designs, and other designs and topics as time permits. (Prerequisites: STAT205 or MATH252 or equivalent courses.) Lecture 3 (Fall). 
3 
Program Electives** 
9  
General Education – Immersion 1, 2 
6  
General Education – Elective 
3  
Fourth Year  
STAT405  Mathematical Statistics I This course provides a brief review of basic probability concepts and distribution theory. It covers mathematical properties of distributions needed for statistical inference. (Prerequisites: STAT205 or MATH252 or equivalent courses.) Lecture 3 (Fall). 
3 
STAT406  Mathematical Statistics II This course is a continuation of STAT405 covering classical and Bayesian methods in estimation theory, chisquare test, NeymanPearson lemma, mathematical justification of standard test procedures, sufficient statistics, and further topics in statistical inference. (Prerequisites: STAT405 or equivalent course.) Lecture 3 (Spring). 
3 
STAT500  Senior Capstone in Statistics The course introduces the student to statistical situations not encountered previously in courses of study. It integrates and synthesizes concepts in statistical theory with applications. Topics include openended analysis of data, review of statistical literature on current techniques and practice of statistics, development of statistical communication skills, and the use of statistical software tools in data analysis. Students may work individually or in a group. Each student is required to learn and use a statistical technique beyond what is covered in the previous courses. Student teams are expected to introduce the method in a presentation and to prepare a comprehensive, professional report detailing the statistical method and its application to a data set. (Prerequisites: STAT325 or equivalent course.
Corequisites: STAT305 or equivalent course.) Lecture 3 (Spring). 
3 
General Education – Immersion 3 
3  
Program Electives** 
6  
Open Electives 
6  
General Education – Electives 
6  
Total Semester Credit Hours  120 
Please see General Education Curriculum (GE) for more information.
(WI) Refers to a writing intensive course within the major.
Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
‡ Students will satisfy this requirement by taking either University Physics I (PHYS211) and University Physics II (PHYS212) or General & Analytical Chemistry I and Lab (CHMG141/145) and General & Analytical Chemistry II and Lab (CHMG142/146) or General Biology I and Lab (BIOL101/103) and General Biology II and Lab (BIOL102/104).
** Three of the five program electives must be from the following list of courses: Stochastic Processes (MATH505), Introduction to Time Series (STAT335), Nonparametric Statistics (STAT345), Multivariate Analysis (STAT425), Statistical Software (STAT511), Statistical Quality Control (STAT521), Data Mining (STAT547), Survey Design and Analysis (STAT572), Categorical Data Analysis (STAT584). A program elective is any MATH or STAT course with a course number higher than 250.
Accelerated Bachelor’s/Master’s Degrees
Accelerated bachelor’s/master’s degrees are for undergraduate students with outstanding academic records. You can apply to a combined bachelor’s and master’s degree at the end of your second year of study. Learn more about accelerated bachelor’s/master’s degrees and how they prepare you for success.
Applied Statistics and Actuarial Science, BS degree/Applied and Computational Mathematics (thesis option), MS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CSCI101  Principles of Computing This course is designed to introduce students to the central ideas of computing. Students will engage in activities that show how computing changes the world and impacts daily lives. Students will develop stepbystep written solutions to basic problems and implement their solutions using a programming language. Assignments will be completed both individually and in small teams. Students will be required to demonstrate oral and written communication skills through such assignments as short papers, homeworks, group discussions and debates, and development of a term paper. Lecture 3 (Fall). 
3 
MATH181  LAS Perspective 7A: ProjectBased Calculus I This is the first in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A or better in MATH111 or A or better in ((NMTH260 or NMTH272 or NMTH275) and NMTH220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). 
4 
MATH182  LAS Perspective 7B: ProjectBased Calculus II This is the second in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C or better in (MATH181 or MATH173 or 1016282) or (MATH171 and MATH180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). 
4 
MATH199  Mathematics and Statistics Seminar This course introduces the programs within the School of Mathematical Sciences, and provides an introduction to math and statistics software. The course provides practice in technical writing. Seminar 1 (Fall). 
1 
YOPS10  RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their firstyear experiences, receive feedback, and develop a personal plan for future action in order to develop foundational selfawareness and recognize broadbased professional competencies. Lecture 1 (Fall, Spring). 
0 
LAS Elective 
3  
First Year Writing (WI) 
3  
LAS Perspective 1 (ethical) 
3  
LAS Perspective 2 (artistic) 
3  
LAS Perspective 5‡ (natural science inquiry) 
4  
LAS Perspective 6‡ (scientific principles) 
4  
Wellness Education* 
0  
Second Year  
MATH200  Discrete Mathematics and Introduction to Proofs This course prepares students for professions that use mathematics in daily practice, and for mathematics courses beyond the introductory level where it is essential to communicate effectively in the language of mathematics. It covers various methods of mathematical proof, starting with basic techniques in propositional and predicate calculus and set theory, and then moving to applications in advanced mathematics. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 3, Recitation 4 (Fall). 
3 
MATH221  Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vectorvalued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH219. (Prerequisite: C or better MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). 
4 
MATH231  Differential Equations This course is an introduction to the study of ordinary differential equations and their applications. Topics include solutions to first order equations and linear second order equations, method of undetermined coefficients, variation of parameters, linear independence and the Wronskian, vibrating systems, and Laplace transforms. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). 
3 
MATH241  Linear Algebra I This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH190 or MATH200 or MATH219 or MATH220 or MATH221 or MATH221H or equivalent course.) Lecture 3 (Fall, Spring). 
3 
MATH251  Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH173 or MATH182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). 
3 
MATH252  Probability and Statistics II This course covers basic statistical concepts, sampling theory, hypothesis testing, confidence intervals, point estimation, and simple linear regression. The statistical software package MINITAB will be used for data analysis and statistical applications. (Prerequisites: STAT251 or MATH251 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
MATH399  Mathematical Science Job Search Seminar This course helps students prepare to search for coop or fulltime employment. Students will learn strategies for conducting a successful job search and transitioning into the work world. The course meets one hour each week for five weeks. Lecture 1 (Fall, Spring). 
0 
LAS Immersion 1, 2 
6  
LAS Perspective 3 (global) 
3  
LAS Perspective 4 (social) 
3  
Third Year  
MATH255  Actuarial Mathematics This course provides challenging problems in probability whose solutions require a combination of skills that one acquires in a typical mathematical statistics curriculum. Course work synthesizes basic, essential problemsolving ideas and techniques as they apply to actuarial mathematics and the first actuarial exam. (Prerequisites: MATH251 or 1016345 or equivalent course.) Lecture 3 (Spring). 
3 
MATH261  Topics in the Mathematics of Finance This course examines concepts in finance from a mathematical viewpoint. It includes topics such as the BlackScholes model, financial derivatives, the binomial model, and an introduction to stochastic calculus. Although the course is mathematical in nature, only a background in calculus (including Taylor series) and basic probability is assumed; other mathematical concepts and numerical methods are introduced as needed. (Prerequisites: (MATH219 or MATH221 or MATH221H) and (STAT145 or STAT145H or MATH251) or equivalent courses.) Lecture 3 . 
3 
STAT305  Regression Analysis This course covers regression techniques with applications to the type of problems encountered in realworld situations. It includes use of the statistical software SAS. Topics include a review of simple linear regression, residual analysis, multiple regression, matrix approach to regression, model selection procedures, and various other models as time permits. (Prerequisites: MATH241 and MATH252 or equivalent courses.) Lecture 3 (Spring). 
3 
STAT325  Design of Experiments (WI) This course is a study of the design and analysis of experiments. It includes extensive use of statistical software. Topics include singlefactor analysis of variance, multiple comparisons and model validation, multifactor factorial designs, fixed, random and mixed models, expected mean square calculations, confounding, randomized block designs, and other designs and topics as time permits. (Prerequisites: STAT205 or MATH252 or equivalent courses.) Lecture 3 (Fall). 
3 
STAT511  Statistical Software This course is an introduction to two statisticalsoftware packages, SAS and R, which are often used in professional practice. Some comparisons with other statisticalsoftware packages will also be made. Topics include: data structures; reading and writing data; data manipulation, subsetting, reshaping, sorting, and merging; conditional execution and looping; builtin functions; creation of new functions or macros; graphics; matrices and arrays; simulations; select statistical applications. (Prerequisites: MATH252 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
Free Electives 
6  
LAS Immersion 3 
3  
Program Electives 
9  
Fourth Year  
MATH606  Graduate Seminar I The course prepares students to engage in activities necessary for independent mathematical research and introduces students to a broad range of active interdisciplinary programs related to applied mathematics. (This course is restricted to students in the ACMTHMS or MATHMLPHD programs.) Lecture 2 (Fall). 
1 
MATH607  Graduate Seminar II This course is a continuation of Graduate Seminar I. It prepares students to engage in activities necessary for independent mathematical research and introduces them to a broad range of active interdisciplinary programs related to applied mathematics. (Prerequisite: MATH606 or equivalent course or students in the ACMTHMS or MATHMLPHD programs.) Lecture 2 (Spring). 
1 
STAT405  Mathematical Statistics I This course provides a brief review of basic probability concepts and distribution theory. It covers mathematical properties of distributions needed for statistical inference. (Prerequisites: STAT205 or MATH252 or equivalent courses.) Lecture 3 (Fall). 
3 
STAT406  Mathematical Statistics II This course is a continuation of STAT405 covering classical and Bayesian methods in estimation theory, chisquare test, NeymanPearson lemma, mathematical justification of standard test procedures, sufficient statistics, and further topics in statistical inference. (Prerequisites: STAT405 or equivalent course.) Lecture 3 (Spring). 
3 
STAT500  Senior Capstone in Statistics The course introduces the student to statistical situations not encountered previously in courses of study. It integrates and synthesizes concepts in statistical theory with applications. Topics include openended analysis of data, review of statistical literature on current techniques and practice of statistics, development of statistical communication skills, and the use of statistical software tools in data analysis. Students may work individually or in a group. Each student is required to learn and use a statistical technique beyond what is covered in the previous courses. Student teams are expected to introduce the method in a presentation and to prepare a comprehensive, professional report detailing the statistical method and its application to a data set. (Prerequisites: STAT325 or equivalent course.
Corequisites: STAT305 or equivalent course.) Lecture 3 (Spring). 
3 
Math Graduate Core Courses 
9  
LAS Electives 
12  
Fifth Year  
MATH790  Research and Thesis Masterslevel research by the candidate on an appropriate topic as arranged between the candidate and the research advisor. (This course is restricted to students in the ACMTHMS or MATHMLPHD programs.) Thesis (Fall, Spring, Summer). 
7 
Math Graduate Core Course 
3  
Graduate Electives 
9  
Total Semester Credit Hours  147 
Please see General Education Curriculum–Liberal Arts and Sciences (LAS) for more information.
(WI) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
‡ Students will satisfy this requirement by taking either University Physics I (PHYS211) and University Physics II (PHYS212) or General & Analytical Chemistry I and Lab (CHMG141/145) and General & Analytical Chemistry II and Lab (CHMG142/146) or General Biology I and Lab (BIOL101/103) and General Biology II and Lab (BIOL102/104).
Applied Statistics and Actuarial Science, BS degree/Applied and Computational Mathematics (project option), MS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CSCI101  Principles of Computing This course is designed to introduce students to the central ideas of computing. Students will engage in activities that show how computing changes the world and impacts daily lives. Students will develop stepbystep written solutions to basic problems and implement their solutions using a programming language. Assignments will be completed both individually and in small teams. Students will be required to demonstrate oral and written communication skills through such assignments as short papers, homeworks, group discussions and debates, and development of a term paper. Lecture 3 (Fall). 
3 
MATH181  General Education  Mathematical Perspective A: ProjectBased Calculus I This is the first in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A or better in MATH111 or A or better in ((NMTH260 or NMTH272 or NMTH275) and NMTH220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). 
4 
MATH182  General Education  Mathematical Perspective B: ProjectBased Calculus II This is the second in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C or better in (MATH181 or MATH173 or 1016282) or (MATH171 and MATH180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). 
4 
MATH199  Mathematics and Statistics Seminar This course introduces the programs within the School of Mathematical Sciences, and provides an introduction to math and statistics software. The course provides practice in technical writing. Seminar 1 (Fall). 
1 
YOPS10  RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their firstyear experiences, receive feedback, and develop a personal plan for future action in order to develop foundational selfawareness and recognize broadbased professional competencies. Lecture 1 (Fall, Spring). 
0 
General Education  Elective 
3  
General Education  First Year Writing (WI) 
3  
General Education  Artistic Perspective 
3  
General Education  Ethical Perspective 
3  
General Education  Natural Science Inquiry Perspective‡ 
4  
General Education  Scientific Principles Perspective‡ 
4  
Second Year  
MATH200  Discrete Mathematics and Introduction to Proofs This course prepares students for professions that use mathematics in daily practice, and for mathematics courses beyond the introductory level where it is essential to communicate effectively in the language of mathematics. It covers various methods of mathematical proof, starting with basic techniques in propositional and predicate calculus and set theory, and then moving to applications in advanced mathematics. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 3, Recitation 4 (Fall). 
3 
Choose one of the following:  4 

MATH221  Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vectorvalued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH219. (Prerequisite: C or better MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). 

MATH221H  Honors Multivariable and Vector Calculus 

MATH231  Differential Equations This course is an introduction to the study of ordinary differential equations and their applications. Topics include solutions to first order equations and linear second order equations, method of undetermined coefficients, variation of parameters, linear independence and the Wronskian, vibrating systems, and Laplace transforms. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). 
3 
Choose one of the following:  3 

MATH241  Linear Algebra This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH190 or MATH200 or MATH219 or MATH220 or MATH221 or MATH221H or equivalent course.) Lecture 3 (Fall, Spring). 

MATH241H  Honor Linear Algebra 

MATH251  Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH173 or MATH182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). 
3 
MATH252  Probability and Statistics II This course covers basic statistical concepts, sampling theory, hypothesis testing, confidence intervals, point estimation, and simple linear regression. The statistical software package MINITAB will be used for data analysis and statistical applications. (Prerequisites: STAT251 or MATH251 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
MATH399  Mathematical Science Job Search Seminar This course helps students prepare to search for coop or fulltime employment. Students will learn strategies for conducting a successful job search and transitioning into the work world. The course meets one hour each week for five weeks. Lecture 1 (Fall, Spring). 
0 
General Education  Immersion 1, 2 
6  
General Education  Global Perspective 
3  
General Education  Social Perspective 
3  
Third Year  
MATH255  Actuarial Mathematics This course provides challenging problems in probability whose solutions require a combination of skills that one acquires in a typical mathematical statistics curriculum. Course work synthesizes basic, essential problemsolving ideas and techniques as they apply to actuarial mathematics and the first actuarial exam. (Prerequisites: MATH251 or 1016345 or equivalent course.) Lecture 3 (Spring). 
3 
MATH261  Topics in the Mathematics of Finance This course examines concepts in finance from a mathematical viewpoint. It includes topics such as the BlackScholes model, financial derivatives, the binomial model, and an introduction to stochastic calculus. Although the course is mathematical in nature, only a background in calculus (including Taylor series) and basic probability is assumed; other mathematical concepts and numerical methods are introduced as needed. (Prerequisites: (MATH219 or MATH221 or MATH221H) and (STAT145 or STAT145H or MATH251) or equivalent courses.) Lecture 3 . 
3 
STAT305  Regression Analysis This course covers regression techniques with applications to the type of problems encountered in realworld situations. It includes use of the statistical software SAS. Topics include a review of simple linear regression, residual analysis, multiple regression, matrix approach to regression, model selection procedures, and various other models as time permits. (Prerequisites: MATH241 and MATH252 or equivalent courses.) Lecture 3 (Spring). 
3 
STAT325  Design of Experiments (WI) This course is a study of the design and analysis of experiments. It includes extensive use of statistical software. Topics include singlefactor analysis of variance, multiple comparisons and model validation, multifactor factorial designs, fixed, random and mixed models, expected mean square calculations, confounding, randomized block designs, and other designs and topics as time permits. (Prerequisites: STAT205 or MATH252 or equivalent courses.) Lecture 3 (Fall). 
3 
Open Electives 
6  
General Education  Immersion 3 
3  
Program Electives 
9  
Fourth Year  
MATH606  Graduate Seminar I The course prepares students to engage in activities necessary for independent mathematical research and introduces students to a broad range of active interdisciplinary programs related to applied mathematics. (This course is restricted to students in the ACMTHMS or MATHMLPHD programs.) Lecture 2 (Fall). 
1 
MATH607  Graduate Seminar II This course is a continuation of Graduate Seminar I. It prepares students to engage in activities necessary for independent mathematical research and introduces them to a broad range of active interdisciplinary programs related to applied mathematics. (Prerequisite: MATH606 or equivalent course or students in the ACMTHMS or MATHMLPHD programs.) Lecture 2 (Spring). 
1 
STAT405  Mathematical Statistics I This course provides a brief review of basic probability concepts and distribution theory. It covers mathematical properties of distributions needed for statistical inference. (Prerequisites: STAT205 or MATH252 or equivalent courses.) Lecture 3 (Fall). 
3 
STAT406  Mathematical Statistics II This course is a continuation of STAT405 covering classical and Bayesian methods in estimation theory, chisquare test, NeymanPearson lemma, mathematical justification of standard test procedures, sufficient statistics, and further topics in statistical inference. (Prerequisites: STAT405 or equivalent course.) Lecture 3 (Spring). 
3 
STAT500  Senior Capstone in Statistics The course introduces the student to statistical situations not encountered previously in courses of study. It integrates and synthesizes concepts in statistical theory with applications. Topics include openended analysis of data, review of statistical literature on current techniques and practice of statistics, development of statistical communication skills, and the use of statistical software tools in data analysis. Students may work individually or in a group. Each student is required to learn and use a statistical technique beyond what is covered in the previous courses. Student teams are expected to introduce the method in a presentation and to prepare a comprehensive, professional report detailing the statistical method and its application to a data set. (Prerequisites: STAT325 or equivalent course.
Corequisites: STAT305 or equivalent course.) Lecture 3 (Spring). 
3 
Math Graduate Core Courses 
9  
General Education  Electives 
9  
Open Elective 
3  
Fifth Year  
MATH790  Research & Thesis Masterslevel research by the candidate on an appropriate topic as arranged between the candidate and the research advisor. (This course is restricted to students in the ACMTHMS or MATHMLPHD programs.) Thesis (Fall, Spring, Summer). 
4 
Graduate Electives 
15  
Total Semester Credit Hours  144 
Please see General Education Curriculum for more information.
(WI) Refers to a writing intensive course within the major.
* Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
‡ Students will satisfy this requirement by taking either University Physics I (PHYS211) and University Physics II (PHYS212) or General & Analytical Chemistry I and Lab (CHMG141/145) and General & Analytical Chemistry II and Lab (CHMG142/146) or General Biology I and Lab (BIOL101/103) and General Biology II and Lab (BIOL102/104).
Applied Statistics and Actuarial Science, BS degree/Applied Statistics, MS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
CSCI101  General Education – Elective: Principles of Computing This course is designed to introduce students to the central ideas of computing. Students will engage in activities that show how computing changes the world and impacts daily lives. Students will develop stepbystep written solutions to basic problems and implement their solutions using a programming language. Assignments will be completed both individually and in small teams. Students will be required to demonstrate oral and written communication skills through such assignments as short papers, homeworks, group discussions and debates, and development of a term paper. Lecture 3 (Fall). 
3 
MATH181  General Education – Mathematical Perspective A: ProjectBased Calculus I This is the first in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A or better in MATH111 or A or better in ((NMTH260 or NMTH272 or NMTH275) and NMTH220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). 
4 
MATH182  General Education – Mathematical Perspective B: ProjectBased Calculus II This is the second in a twocourse sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C or better in (MATH181 or MATH173 or 1016282) or (MATH171 and MATH180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer). 
4 
MATH199  Mathematics and Statistics Seminar I This course introduces the programs within the School of Mathematical Sciences, and provides an introduction to math and statistics software. The course provides practice in technical writing. Seminar 1 (Fall). 
1 
YOPS10  RIT 365: RIT Connections RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their firstyear experiences, receive feedback, and develop a personal plan for future action in order to develop foundational selfawareness and recognize broadbased professional competencies. Lecture 1 (Fall, Spring). 
0 
General Education – Elective 
3  
General Education – FirstYear Writing (WI) 
3  
General Education – Ethical Perspective 
3  
General Education – Artistic Perspective 
3  
General Education – Natural Science Inquiry Perspective‡ 
4  
Second Year  
MATH200  Discrete Mathematics and Introduction to Proofs This course prepares students for professions that use mathematics in daily practice, and for mathematics courses beyond the introductory level where it is essential to communicate effectively in the language of mathematics. It covers various methods of mathematical proof, starting with basic techniques in propositional and predicate calculus and set theory, and then moving to applications in advanced mathematics. (Prerequisite: MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 3, Recitation 4 (Fall). 
3 
MATH251  Probability and Statistics I This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to realworld problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH173 or MATH182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer). 
3 
MATH252  Probability and Statistics II This course covers basic statistical concepts, sampling theory, hypothesis testing, confidence intervals, point estimation, and simple linear regression. The statistical software package MINITAB will be used for data analysis and statistical applications. (Prerequisites: STAT251 or MATH251 or equivalent course.) Lecture 3 (Fall, Spring). 
3 
MATH399  Mathematical Science Job Search Seminar This course helps students prepare to search for coop or fulltime employment. Students will learn strategies for conducting a successful job search and transitioning into the work world. The course meets one hour each week for five weeks. Lecture 1 (Fall, Spring). 
0 
Choose one of the following:  4 

MATH221  General Education – Elective: Multivariable and Vector Calculus This course is principally a study of the calculus of functions of two or more variables, but also includes a study of vectors, vectorvalued functions and their derivatives. The course covers limits, partial derivatives, multiple integrals, Stokes' Theorem, Green's Theorem, the Divergence Theorem, and applications in physics. Credit cannot be granted for both this course and MATH219. (Prerequisite: C or better MATH173 or MATH182 or MATH182A or equivalent course.) Lecture 4 (Fall, Spring, Summer). 

MATH221H  General Education – Elective: Honors Multivariable and Vector Calculus 

Choose one of the following:  3 

MATH241  Linear Algebra This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH190 or MATH200 or MATH219 or MATH220 or MATH221 or MATH221H or equivalent course.) Lecture 3 (Fall, Spring). 

MATH241H  Honors Linear Algebra 

General Education – Global Perspective 
3  
General Education – Social Perspective 
3  
General Education – Scientific Principles Perspective‡ 
4  
General Education – Elective 
3  
Open Elective 
3  
Third Year  
MATH255  Actuarial Mathematics This course provides challenging problems in probability whose solutions require a combination of skills that one acquires in a typical mathematical statistics curriculum. Course work synthesizes basic, essential problemsolving ideas and techniques as they apply to actuarial mathematics and the first actuarial exam. (Prerequisites: MATH251 or 1016345 or equivalent course.) Lecture 3 (Spring). 
3 
MATH261  Topics in the Mathematics of Finance This course examines concepts in finance from a mathematical viewpoint. It includes topics such as the BlackScholes model, financial derivatives, the binomial model, and an introduction to stochastic calculus. Although the course is mathematical in nature, only a background in calculus (including Taylor series) and basic probability is assumed; other mathematical concepts and numerical methods are introduced as needed. (Prerequisites: (MATH219 or MATH221 or MATH221H) and (STAT145 or STAT145H or MATH251) or equivalent courses.) Lecture 3 . 
3 
STAT305  Regression Analysis This course covers regression techniques with applications to the type of problems encountered in realworld situations. It includes use of the statistical software SAS. Topics include a review of simple linear regression, residual analysis, multiple regression, matrix approach to regression, model selection procedures, and various other models as time permits. (Prerequisites: MATH241 and MATH252 or equivalent courses.) Lecture 3 (Spring). 
3 
STAT325  Design of Experiments (WIPR) This course is a study of the design and analysis of experiments. It includes extensive use of statistical software. Topics include singlefactor analysis of variance, multiple comparisons and model validation, multifactor factorial designs, fixed, random and mixed models, expected mean square calculations, confounding, randomized block designs, and other designs and topics as time permits. (Prerequisites: STAT205 or MATH252 or equivalent courses.) Lecture 3 (Fall). 
3 
General Education – Immersion 1, 2 
3  
General Education – Elective 
3  
Program Electives 
9  
Fourth Year  
STAT405  Mathematical Statistics I This course provides a brief review of basic probability concepts and distribution theory. It covers mathematical properties of distributions needed for statistical inference. (Prerequisites: STAT205 or MATH252 or equivalent courses.) Lecture 3 (Fall). 
3 
STAT406  Mathematical Statistics II This course is a continuation of STAT405 covering classical and Bayesian methods in estimation theory, chisquare test, NeymanPearson lemma, mathematical justification of standard test procedures, sufficient statistics, and further topics in statistical inference. (Prerequisites: STAT405 or equivalent course.) Lecture 3 (Spring). 
3 
STAT500  Senior Capstone in Statistics The course introduces the student to statistical situations not encountered previously in courses of study. It integrates and synthesizes concepts in statistical theory with applications. Topics include openended analysis of data, review of statistical literature on current techniques and practice of statistics, development of statistical communication skills, and the use of statistical software tools in data analysis. Students may work individually or in a group. Each student is required to learn and use a statistical technique beyond what is covered in the previous courses. Student teams are expected to introduce the method in a presentation and to prepare a comprehensive, professional report detailing the statistical method and its application to a data set. (Prerequisites: STAT325 or equivalent course.
Corequisites: STAT305 or equivalent course.) Lecture 3 (Spring). 
3 
STAT641  Applied Linear Models – Regression A course that studies how a response variable is related to a set of predictor variables. Regression techniques provide a foundation for the analysis of observational data and provide insight into the analysis of data from designed experiments. Topics include happenstance data versus designed experiments, simple linear regression, the matrix approach to simple and multiple linear regression, analysis of residuals, transformations, weighted least squares, polynomial models, influence diagnostics, dummy variables, selection of best linear models, nonlinear estimation, and model building. (This course is restricted to students in APPSTATMS or SMPPIACT.) Lecture 3 (Fall, Spring). 
3 
STAT642  Applied Linear Models – ANOVA This course introduces students to analysis of models with categorical factors, with emphasis on interpretation. Topics include the role of statistics in scientific studies, fixed and random effects, mixed models, covariates, hierarchical models, and repeated measures. (This class is restricted to students in the APPSTATMS, SMPPIACT, STATQLACT or MMSIMS programs.) Lecture 3 (Fall, Spring). 
3 
Program Electives 
6  
General Education – Electives 
6  
General Education – Immersion 3 
3  
Open Electives 
6  
Fifth Year  
STAT790  Capstone/Thesis This course is a graduate course for students enrolled in the Thesis/Project track of the MS Applied Statistics Program. (Enrollment in this course requires permission from the Director of Graduate Programs for Applied Statistics.) (Enrollment in this course requires permission from the department offering the course.) Thesis (Fall, Spring, Summer). 
6 
Statistics Graduate Electives 
21  
Total Semester Credit Hours  150 
Please see General Education Curriculum (GE) for more information.
(WI) Refers to a writing intensive course within the major.
Please see Wellness Education Requirement for more information. Students completing bachelor's degrees are required to complete two different Wellness courses.
‡ Students will satisfy this requirement by taking either University Physics I (PHYS211) and University Physics II (PHYS212) or General & Analytical Chemistry I and Lab (CHMG141/145) and General & Analytical Chemistry II and Lab (CHMG142/146) or General Biology I and Lab (BIOL101/103) and General Biology II and Lab (BIOL102/104).
Admission Requirements
Freshman Admission
For all bachelor’s degree programs, a strong performance in a college preparatory program is expected. Generally, this includes 4 years of English, 34 years of mathematics, 23 years of science, and 3 years of social studies and/or history.
Specific math and science requirements and other recommendations
 3 years of math required; precalculus recommended
Transfer Admission
Transfer course recommendations without associate degree
Courses in liberal arts, physics, math, and chemistry
Appropriate associate degree programs for transfer
AS degree in liberal arts with math/science option
Learn about admissions, cost, and financial aid
Latest News

June 23, 2020
RIT researchers create easytouse mathaware search interface
Researchers at RIT have developed MathDeck, an online search interface that allows anyone to easily create, edit and lookup sophisticated math formulas on the computer. Created by an interdisciplinary team of more than a dozen faculty and students, MathDeck aims to make math notation interactive and easily shareable, and it's is free and open to the public.

July 29, 2019
RIT students show eighth graders how to have fun with math and science at SMASH
A group of 36 girls entering the eighth grade participated in RIT’s annual Summer Math Applications in Science with HandsOn (SMASH) Experience for Girls.

April 12, 2018
Playful teaching style earns assistant professor two awards
Nathaniel Barlow is the winner of RIT’s Richard and Virginia Eisenhart Provost’s Award for Excellence in Teaching and the Innovative Teaching with Technology Award.