Applied Statistics and Actuarial Science bachelor of science degree
Applied Statistics and Actuarial Science
Bachelor of science degree
Breadcrumb
 RIT /
 Rochester Institute of Technology /
 Academics /
 Applied Statistics and Actuarial Science BS
Program Contact
585‑475‑5887, mecsma@rit.edu
Overview
Using calculus, statistics, algebra, and computer science, 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.
The applied statistics and actuarial science degree will provide 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.
Industries

Insurance 
Government (Local, State, Federal) 
Investment/Portfolio Management 
Health Care 
Defense 
Scientific and Technical Consulting 
Biotech and Life Sciences 
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 
Curriculum
Applied statistics and actuarial science, BS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
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.

1 
MATH181 
LAS Perspective 7A (mathematical): 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.

4 
MATH182 
LAS Perspective 7B (mathematical): 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.

4 
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.

3 
ACSC010 
Year One
The Year One class serves as an interdisciplinary catalyst for firstyear students to access campus resources, services and opportunities that promote selfknowledge, personal success, leadership development, social responsibility and life academic skills awareness and application. Year One is also designed to challenge and encourage firstyear students to get to know one another, build relationships and help them become an integral part of the campus community.

0 
First Year 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  
Wellness Education*

0  
Second Year  
MATH200 
Discrete Mathematics with 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.

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.

4 
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.

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.

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.

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.

0 
Open Elective

3  
LAS Elective

3  
LAS Perspective 3 (global)

3  
LAS Perspective 4 (social)

3  
LAS Perspective 6‡ (scientific principles)

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.

3 
MATH261 
Topics in Math 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.

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.

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.

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.

3 
Program Electives**

6  
LAS Immersion 1, 2

6  
LAS 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.

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.

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.

3 
LAS Immersion 3

3  
Program Electives**

12  
Open Elective

3  
LAS Electives

6  
Total Semester Credit Hours 
123

(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 a 3 or 4 credit hour lab science course. If a science course consists of separate lecture and laboratory sections, students must take both the lecture and lab portions to satisfy the requirement.
** Two of the six program electives must be from the following list of courses: Stochastic Processes (MATH505), Statistical Quality Control (STAT315), Introduction to Time Series (STAT335), Nonparametric Statistics (STAT345), Statistical Sampling (STAT415), Multivariate Analysis (STAT425), or Statistical Linear Models (STAT435). A program elective is any MATH or STAT course with a course number higher than 250.
Accelerated dual degree options
Accelerated dual degree options are for undergraduate students with outstanding academic records. Upon acceptance, wellqualified undergraduate students can begin graduate study before completing their BS degree, shortening the time it takes to earn both degrees. Students should consult an academic adviser for more information.
Applied statistics and actuarial science, BS degree/Applied and computational mathematics, MS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
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.

1 
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.

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.

4 
CSCI101 
Principles of Computer Science
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.

3 
ACSC010 
Year One
The Year One class serves as an interdisciplinary catalyst for firstyear students to access campus resources, services and opportunities that promote selfknowledge, personal success, leadership development, social responsibility and life academic skills awareness and application. Year One is also designed to challenge and encourage firstyear students to get to know one another, build relationships and help them become an integral part of the campus community.

0 
First Year 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 with 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.

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.

4 
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.

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.

3 
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.

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.

3 
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.

3 
MATH261 
Topics in Financial Mathematics
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.

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.

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.

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.

0 
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.

3 
Open Electives

6  
LAS Immersion 3

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.

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.

3 
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.

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.

1 
STAT500 
Senior Capstone in Statistics (WI)
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.

3 
Math Graduate Core Courses

9  
LAS Electives

12  
Fifth Year  
MATH799 
Thesis
Independent Study

7 
Math Graduate Core

3  
Graduate Concentration Courses

6  
Graduate Electives

9  
Total Semester Credit Hours 
153

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 a 3 or 4 credit hour lab science course. If a science course consists of separate lecture and laboratory sections, students must take both the lecture and lab portions to satisfy the requirement.
Applied statistics and actuarial science, BS degree/Applied statistics, MS degree, typical course sequence
Course  Sem. Cr. Hrs.  

First Year  
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.

1 
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.

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.

4 
CSCI101 
Principles of Computer Science
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.

3 
ACSC010 
Year One
The Year One class serves as an interdisciplinary catalyst for firstyear students to access campus resources, services and opportunities that promote selfknowledge, personal success, leadership development, social responsibility and life academic skills awareness and application. Year One is also designed to challenge and encourage firstyear students to get to know one another, build relationships and help them become an integral part of the campus community.

0 
First Year 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 with 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.

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.

4 
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.

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.

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.

3 
Program Elective

3  
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.

3 
MATH261 
Topics in Financial Mathematics
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.

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.

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.

3 
STAT611 
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.

3 
Open Electives

6  
LAS Immersion 3

3  
Program Electives

6  
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.

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.

3 
STAT731 
Fundamentals of Statistical Theory
This course introduces the students to the fundamental principles of modern graduate level statistical theory with a strong emphasis on conceptual aspects of estimation theory and statistical inference along with an exploration of the modern computational techniques needed in the application/implementation of the methods covered. Topics include fundamentals of probability theory for statistics, random variable with a focus on the understanding and use of probability distribution function (both probability density function and cumulative distribution function), quantiles of a distribution, understanding and use of the mathematical expectation operator, special discrete and continuous distributions, and distributions of functions of random variables and their use in statistical modelling, sums of random variables as used in statistics, point estimation, limit theorems, properties of estimators (bias, variance, mean squared error, consistency, efficiency, sufficiency), bias variance tradeoff, interval estimation, hypothesis testing, bootstrap approach to estimation and inference, and elements of computational statistics.

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.

3 
STAT701 
Foundations of Experimental Design
This course is an introduction to experimental design with emphases on both foundational and practical aspects. Topics include the role of statistics in scientific experimentation, completely randomized designs, randomized complete block designs, Latin square designs, incomplete block designs, nested designs, general factorial designs, splitplot designs, twolevel fractional factorial designs, and responsesurface methodology.

3 
Program Elective

3  
LAS Electives

12  
Fifth Year  
STAT792 
Capstone
This course is designed to provide a capstone experience for MS students at the end of the graduate studies, and will require a synthesis of knowledge obtained from earlier coursework.

3 
Graduate Electives

18  
Total Semester Credit Hours 
144

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 a 3 or 4 credit hour lab science course. If a science course consists of separate lecture and laboratory sections, students must take both the lecture and lab portions to satisfy the requirement.
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 and financial aid