**Chairperson: Rebecca L. Sanders, Ph.D.
Program Director: Marta T. Magiera, Ph.D.**

Mathematics for Secondary School Teachers website

## Degree Offered

Master of Science, students are admitted under Plan B (non-thesis option) but Plan A (thesis option) is also offered

## Program Description

The mathematics for secondary school teachers (MSST) program offered by the Department of Mathematical and Statistical Sciences is designed for teachers who wish to enhance their practice by deepening their understanding of mathematics and mathematics education beyond the bachelor's level. It is also open to others who want to deepen their understanding of post-baccalaureate mathematics and mathematics education. Students may also choose core courses from the computational mathematical and statistical sciences program. This program does not prepare students for doctoral studies in pure mathematics.

## Prerequisites for Admission

Applicants should have an undergraduate degree. Students whose previous mathematics course work was not at least equivalent to a minor in mathematics may be required to complete some prerequisite undergraduate courses before beginning master’s courses.

## Application Deadline

Applications are accepted on an ongoing basis. However, applicants should allow at least a month for the application process to be completed once all application materials have been submitted.

## Application Requirements

Applicants must submit, directly to the Graduate School:

- A completed application form and fee online.
- Copies of all college/university transcripts except Marquette.
^{1} - Three letters of recommendation addressing the applicant's academic qualifications for graduate study in the intended program.
- (For international applicants only) a TOEFL score or other acceptable proof of English proficiency.

^{1} | Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms is placed on the student’s record. |

## Mathematics for Secondary School Teachers Master's Requirements

A master's student must complete a 30-credit plan of study prepared in cooperation with an adviser and approved by the Graduate Committee of the Department of Mathematical and Statistical Sciences.

A master's student is admitted to the non-thesis program (Plan B). A formal request to pursue a thesis (Plan A) must be approved by the department's Graduate Committee and the Graduate School.

### Plan A Option

All Plan A students in the mathematics for secondary school teachers must complete a minimum of 24 credit hours of course work. In addition, students must complete six credit hours of MSSC 6999 Master's Thesis and submit a thesis that must be an original contribution to the student's field of study. A public defense of the thesis is required.

Required courses | ||

MSSC 5020 | The Teaching of Mathematics | 3 |

MSSC 6953 | Seminar in Mathematics Curriculum Development and Material 1 | 3 |

Elective courses | 18 | |

Concepts in Geometry and Calculus from an Advanced Standpoint | ||

Concepts in High School Algebra and Number Theory from an Advanced Standpoint | ||

Abstract Algebra 1 | ||

Abstract Algebra 2 | ||

Intermediate Analysis 1 | ||

Complex Variables | ||

History of Mathematical Ideas | ||

Theory of Numbers | ||

Foundations of Geometry | ||

Mathematical Modeling and Analysis | ||

Numerical Analysis | ||

Theory of Optimization | ||

Applied Combinatorial Mathematics | ||

Theory of Probability | ||

Statistical Methods | ||

Biostatistical Methods and Models | ||

Time Series Analysis | ||

Regression Analysis | ||

Mathematical Statistics | ||

Computational Probability | ||

Simulation | ||

Applied Mathematical Analysis | ||

Applied Linear Algebra | ||

Design of Experiments and Data Analysis | ||

Statistical Machine Learning | ||

Topics in Computer Science (Topic: Scientific Computing) | ||

Additional electives within and outside of department as approved by the program director | ||

MSSC 6999 | Master's Thesis | 6 |

Total Credit Hours | 30 |

### Plan B Option

All Plan B students in the mathematics for secondary school teachers must complete a minimum of 30 credit hours of course work. In addition, students must complete a non-credit essay that reflects the student's ability to synthesize source materials relating to a particular area of research or professional practice. A public oral presentation of the essay is required.

Required courses | ||

MSSC 5020 | The Teaching of Mathematics | 3 |

MSSC 6953 | Seminar in Mathematics Curriculum Development and Material 1 | 3 |

Elective courses | 24 | |

Concepts in Geometry and Calculus from an Advanced Standpoint | ||

Concepts in High School Algebra and Number Theory from an Advanced Standpoint | ||

Abstract Algebra 1 | ||

Abstract Algebra 2 | ||

Intermediate Analysis 1 | ||

Complex Variables | ||

History of Mathematical Ideas | ||

Theory of Numbers | ||

Foundations of Geometry | ||

Numerical Analysis | ||

Mathematical Modeling and Analysis | ||

Theory of Optimization | ||

Applied Combinatorial Mathematics | ||

Theory of Probability | ||

Mathematical Statistics | ||

Statistical Methods | ||

Biostatistical Methods and Models | ||

Time Series Analysis | ||

Regression Analysis | ||

Computational Probability | ||

Simulation | ||

Applied Mathematical Analysis | ||

Applied Linear Algebra | ||

Design of Experiments and Data Analysis | ||

Statistical Machine Learning | ||

Topics in Computer Science (Topic: Scientific Computing) | ||

Additional electives within and outside department as approved by the program director | ||

Total Credit Hours | 30 |

### Courses

**MSSC 5020. The Teaching of Mathematics. 3 cr. hrs.**

Historical background, problems, curricular materials, and teaching procedures in the various areas of mathematics pertinent to the needs of a secondary school mathematics teacher. In addition, a three-hour time block on one day each week between 8 a.m. and 3 p.m. must be kept free for clinical experience.

**MSSC 5030. Concepts in Geometry and Calculus from an Advanced Standpoint. 3 cr. hrs.**

Topics chosen primarily from geometry and calculus, taught from an advanced standpoint to enrich and deepen the student's understanding. Emphasis on alternative approaches, generalizations, historical contexts and connections with prior mathematical studies.

**MSSC 5040. Concepts in High School Algebra and Number Theory from an Advanced Standpoint. 3 cr. hrs.**

Topics closely related to the high school mathematics curriculum, chosen primarily from algebra and number theory, taught from an advanced standpoint to enrich and deepen the student's understanding. Emphasis on alternative approaches, generalizations, historical contexts and connections with prior mathematical studies.

**MSSC 5120. Abstract Algebra 1. 3 cr. hrs.**

Sets, mappings, operations on sets, relations and partitions. A postulational approach to algebraic systems including semigroups, groups, rings and fields. Homomorphisms of groups and rings, number systems, polynomial rings.

**MSSC 5121. Abstract Algebra 2. 3 cr. hrs.**

A continuation of MSSC 5120 with emphasis on groups, rings, fields and modules.

**MSSC 5200. Intermediate Analysis 1. 3 cr. hrs.**

Limits and continuity, differentiability, Riemann integration. Topology of N-dimensional spaces.

**MSSC 5201. Intermediate Analysis 2. 3 cr. hrs.**

Transformations of N-spaces, line and surface integrals, sequences and series, uniform convergence.

**MSSC 5210. Complex Variables. 3 cr. hrs.**

Complex numbers, analytic functions, differentiation, series expansion, line integrals, singularities and residues.

**MSSC 5310. History of Mathematical Ideas. 3 cr. hrs.**

Topics selected from the following: development of the number system (need for irrational and complex numbers); development of geometry including the effects of the discovery of non-Euclidean geometry; limit concept; need for axiomatic structures; twentieth-century problems. Current mathematics research and place of mathematics in today's world.

**MSSC 5320. Theory of Numbers. 3 cr. hrs.**

Integers, unique factorization theorems, arithmetic functions, theory of congruences, quadratic residues, partition theory.

**MSSC 5420. Foundations of Geometry. 3 cr. hrs.**

Modern postulational development of Euclidean and non-Euclidean geometries.

**MSSC 5450. Topology. 3 cr. hrs.**

Topological spaces, mappings, metric spaces, product and quotient spaces. Separation axioms, compactness, local compactness and connectedness.

**MSSC 5500. Theory of Differential Equations. 3 cr. hrs.**

Existence and uniqueness theorems, linear and non-linear systems, numerical techniques, stability.

**MSSC 5510. Elementary Partial Differential Equations. 3 cr. hrs.**

Fourier series, method of separation of variables, eigenfunction expansions, application of eigenfunctions to partial differential equations, Green's functions and transform methods.

**MSSC 5540. Numerical Analysis. 3 cr. hrs.**

Numerical solution of algebraic and transcendental equations, linear systems and the algebraic eigenvalue problem, interpolation and approximation, numerical integration, difference equations, numerical solution of differential equations and finite difference methods.

**MSSC 5630. Mathematical Modeling and Analysis. 3 cr. hrs.**

Construction and analysis of mathematical models from biological, behavioral and physical sciences.

**MSSC 5650. Theory of Optimization. 3 cr. hrs.**

Fundamental theorems describing the solution of linear programs and matrix games. Minimax, duality, saddle point property, simplex and specialized algorithms. Zero sum games, transportation and assignment problems, applications to economics.

**MSSC 5670. Applied Combinatorial Mathematics. 3 cr. hrs.**

Permutations and combinations, recurrence relations, inclusions and exclusion, Polya's theory of counting, graph theory, transport networks, matching theory.

**MSSC 5700. Theory of Probability. 3 cr. hrs.**

Random variables, distributions, moment generating functions of random variables, various derived probabilistic models and applications.

**MSSC 5710. Mathematical Statistics. 3 cr. hrs.**

Sampling theory and distributions, estimation and hypothesis testing, regression, correlation, analysis of variance, non-parametric methods, Bayesian statistics.

**MSSC 5720. Statistical Methods. 3 cr. hrs.**

Probability, discrete and continuous distributions. Treatment of data, point and interval estimation, hypothesis testing. Large and small sample method, regression, non-parametric methods. An introduction to the basic understanding of statistical methods. Applications-oriented.

**MSSC 5740. Biostatistical Methods and Models. 3 cr. hrs.**

Introduction to the statistics of life science and the use of mathematical models in biology. Data analysis and presentation, regression, analysis of variance, correlation, parameter estimation and curve fitting. Biological sequence analysis, discrete and continuous mathematical models and simulation.

**MSSC 5760. Time Series Analysis. 3 cr. hrs.**

Basic concepts of probability. Stationary time series. Autocorrelation and spectrum. Descriptive methods for time series data. ARMA and ARIMA models: estimation and forecasting. Identification and diagnostic techniques. Periodogram and spectral analysis. Use of software for time series analysis.

**MSSC 5780. Regression Analysis. 3 cr. hrs.**

Basic concepts of statistical inference, simple linear regression, multiple linear regression, diagnostic analysis, selecting the best equation, stepwise methods, nonlinear regression, use of statistical software.

**MSSC 5931. Topics in Mathematical or Statistical Sciences. 1-3 cr. hrs.**

Topics selected from one of the various branches of mathematics or statistics. Specific topics to be announced in the Schedule of Classes.

**MSSC 6010. Computational Probability. 3 cr. hrs.**

Foundations of probability for modeling random processes and Bayesian approaches, including: counting techniques, probability of events, random variables, distribution functions, probability functions, probability density functions, expectation, moments, moment generating functions, special discrete and continuous distributions, sampling distributions, prior and posterior distributions, Law of Large Numbers, Central Limit Theorem, Bayesian paradigm. Prereq: Three semesters of mathematics beyond calculus and MATH 4720 or equiv.

**MSSC 6020. Simulation. 3 cr. hrs.**

Elements of statistical simulation and modeling with applications. Generation of random variables, Monte Carlo method, Markov chains, birth-and-death processes, queues, variance reduction, Markov chain Monte Carlo (MCMC) methods and applications, bootstrapping, validation and analysis of simulated data. Prereq: MSSC 6010 and programming competency in a high-level language.

**MSSC 6030. Applied Mathematical Analysis. 3 cr. hrs.**

Foundational topics in analysis considered from a modeling and numerical viewpoint. Emphasizes techniques of proof and approximation, and their role in the solution of problems arising in applications. Prereq: Multivariable calculus and linear algebra.

**MSSC 6040. Applied Linear Algebra. 3 cr. hrs.**

Foundational linear algebra considered from a numerical viewpoint. Focuses on solutions of linear systems of equations, eigenvalues and eigenvectors, and transformations. Emphasizes and illustrates proof and numerical implementation using problems arising in applications. Prereq: Multivariable calculus and linear algebra.

**MSSC 6090. Research Methods/Professional Development. 1 cr. hr.**

Designed to introduce the process of research and communication of research in the mathematical and statistical sciences, including presentation and publication of research, preparation of grant proposals, and ethical considerations. May be repeated.

**MSSC 6110. Applied Discrete Mathematics. 3 cr. hrs.**

Applied discrete mathematics for the mathematics, engineering and computer science graduate student. Emphasis on graph theory and counting problems that serve as a foundation for research areas in the second term. Theory and applications are covered for topics including trees, graph coloring, chromatic polynomials, generating functions, recurrence relations, distinct colorings and Polya's Theorem. Prereq: COSC 1020 and MATH 1450 or equiv.; MATH 1451 and MATH 2100 or equiv.

**MSSC 6120. Optimization. 3 cr. hrs.**

Principles of deterministic model building in operations research. Linear programming and duality. Dynamic and integer programming. Nonlinear optimization and parameter estimation. Prereq: MATH 3100 or equiv.

**MSSC 6130. Dynamical Systems. 3 cr. hrs.**

Theory of discrete and continuous dynamical systems. Periodic solutions, bifurcations, chaotic systems, attractors, fractal dimension and simulation of these systems. Prereq: MATH 4200 or equiv.

**MSSC 6210. Theory of Statistics. 3 cr. hrs.**

Brief review of sampling distributions, Central Limit Theorem and Law of Large Numbers. Estimation, testing hypotheses, regression and correlation analysis, non-parametric methods. Prereq: MATH 4720 or equiv.

**MSSC 6220. Analysis of Variance and Covariance. 3 cr. hrs.**

Review of statistical inference. One-way layout and multiple comparison. Two-, three- and higher-way layouts. Latin squares, incomplete block and nested design. Analysis of covariance. Prereq: MATH 4710 or equiv.

**MSSC 6230. Multivariate Statistical Analysis. 3 cr. hrs.**

Basic properties of random vectors, multivariate normal distribution, estimations of mean vector and covariance matrix, Wishart distribution, hypothesis testing, Hotelling's T2, multivariate analysis of variance, principal component analysis, factor analysis, canonical correlation analysis, classification and discriminant analysis. Prereq: MATH 3100 and MATH 4710.

**MSSC 6240. Design of Experiments and Data Analysis. 3 cr. hrs.**

Single factor, two-factor and multi-factor designs and their analysis, Latin-square design and its analysis; power analysis and sample size selection; 2^k factorial designs; confounding/blocking designs; orthogonality and orthogonal contrasts; 3^k factorial designs; response surface methodology. Prereq: A course in statistical methods, such as MATH 4720 or equiv.

**MSSC 6250. Statistical Machine Learning. 3 cr. hrs.**

Multivariate data and exploratory analysis, random vector and multivariate normal distribution, multivariate linear regression, principal component and other dimensional reduction techniques, linear discriminant analysis, recursive partition and tree-based methods including classification tree and regression tree, cluster analysis, neural network and support vector machine. Prereq: A course in statistical methods, such as MATH 4720, and a course in linear algebra, such as MATH 3100.

**MSSC 6410. Real Analysis. 3 cr. hrs.**

Involves study of algebraic structures of real analysis, function spaces, introduction to linear operators, measure and integration theory, convergence theorems, limits, continuity and derivatives. Prereq: MATH 4200.

**MSSC 6420. Algebra. 3 cr. hrs.**

Studies groups, rings, fields and vector spaces including Sylow's theorems, field of quotients of an integral domain, structure of finitely generated modules over a principal ideal domain, Galois theory of equations, ordered fields and classical groups. Prereq: MATH 4120 or equiv.

**MSSC 6430. Logic and Set Theory. 3 cr. hrs.**

Naive set theory, first-order logic, elementary model theory, non-standard analysis, Godel's incompleteness theorems for elementary arithmetic, axioms for set theory, ordinal and cardinal arithmetic, the continuum hypothesis, methods of inner models and forcing for proving consistency and independence results. Prereq: MATH 4120 or equiv.

**MSSC 6440. Topology. 3 cr. hrs.**

Metric spaces, fundamental topology notions, subspace topology, product spaces, quotient spaces, separation axioms, Tietze's theorem, compactness, metrization, uniform spaces, function spaces, homotopy relation, fundamental group, computing manifold groups. Prereq: MATH 4200 or equiv.

**MSSC 6770. Innovations in Secondary Mathematics: Meeting the NCTM Standards. 3 cr. hrs.**

Online course designed for teachers of secondary mathematics. Emphasizes relevant NCTM standards through discussion, projects, and implementation in a secondary mathematics classroom. Mathematics content amplifies and extends selected topics of secondary mathematics. Topics vary. Credit may be earned multiple times if completed under a different topic. Prereq: Cons. of dept. ch.; one term of calculus and access to an algebra or geometry class of secondary students; or cons. of course coordinator; admitted to MSST or College of Education.

**MSSC 6931. Topics in Mathematical or Statistical Sciences. 3 cr. hrs.**

Topics vary. Multiple enrollments allowed under different topics.

**MSSC 6953. Seminar in Mathematics Curriculum Development and Material 1. 3 cr. hrs.**

The historical evolution of mathematics learning theories and research-generated conceptions of mathematics learning; comparisons of various learning theories and their impact on research in mathematics learning; implications of research and learning theories on curriculum development; implications of mathematics learning research/theories on the teaching and learning of mathematics. Prereq: Admitted to MSST or College of Education.

**MSSC 6954. Seminar in Mathematics Curriculum Development and Material 2. 3 cr. hrs.**

Philosophy of education with particular attention to mathematics education; development by students of useful curricula in the form of teaching units, evaluation materials, and student and teacher bibliographies for specific topics, grade levels, and ability groups; aspects of supervision as related to the role of department chairperson. Prereq: MSSC 6953; admitted to MSST or College of Education.

**MSSC 6960. Seminar in Mathematical or Statistical Sciences. 1-3 cr. hrs.**

Topics selected from one of the various branches of mathematics or statistics. Specific topics are announced in the Schedule of Classes.

**MSSC 6974. Practicum for Research in Mathematical or Statistical Sciences. 1-3 cr. hrs.**

S/U grade assessment. Prereq: Cons. of dept. ch.

**MSSC 6975. Practicum for Statistical Consulting. 3 cr. hrs.**

Provides students with the opportunity to explore real-world examples of data analysis as a statistical consultant. Prereq: 3.00 MU GPA; must be enrolled in the Plan B option of the M.S. program in applied statistics, and have completed at least 18 credit hours; cons. of the applied statistics dir. of graduate studies; or cons. of dept. ch.

**MSSC 6995. Independent Study in Mathematical or Statistical Sciences. 1-5 cr. hrs.**

Investigations in selected areas of mathematics or statistics. Prereq: Cons. of instr. and cons. of dept. ch.

**MSSC 6998. Professional Project in Mathematical or Statistical Sciences. 0 cr. hrs.**

SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 6999. Master's Thesis. 1-6 cr. hrs.**

S/U grade assessment. Prereq: Cons. of dept. ch.

**MSSC 8995. Independent Study in Mathematical or Statistical Sciences. 1-3 cr. hrs.**

In-depth research on a topic or subject matter usually not offered in the established curriculum with faculty and independent of the classroom setting. Prereq: Cons. of instr. and cons. of dept. ch.

**MSSC 8999. Doctoral Dissertation. 1-12 cr. hrs.**

S/U grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9970. Graduate Standing Continuation: Less than Half-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9974. Graduate Fellowship: Full-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9975. Graduate Assistant Teaching: Full-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9976. Graduate Assistant Research: Full-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9987. Doctoral Comprehensive Examination Preparation: Less than Half-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9988. Doctoral Comprehensive Examination Preparation: Half-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9989. Doctoral Comprehensive Examination Preparation: Full-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9991. Professional Project Continuation: Less than Half-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9992. Professional Project Continuation: Half-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9993. Professional Project Continuation: Full-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9994. Master's Thesis Continuation: Less than Half-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9995. Master's Thesis Continuation: Half-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9996. Master's Thesis Continuation: Full-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9997. Doctoral Dissertation Continuation: Less than Half-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9998. Doctoral Dissertation Continuation: Half-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.

**MSSC 9999. Doctoral Dissertation Continuation: Full-Time. 0 cr. hrs.**

Fee. SNC/UNC grade assessment. Prereq: Cons. of dept. ch.