Master of Science in Mathematics
Mathematics Education

I. Mathematics Education (12 semester hours)

Four courses selected from:
MATH 510, 511*, Workshop in Mathematics Education I, II, 3 credits
MATH 512*, Technology in the Middle School Mathematics Curriculum, 3 credits
MATH 513*, Computer Science Concepts for High School Teachers, 3 credits
MATH 514 *, Advanced Placement Computer Science Concepts with Pascal, 3 credits
MATH 570, Administration and Supervision of Mathematics, 3 credits
MATH 571, Curriculum Construction in Mathematics, 3 credits
MATH 572, Teaching of General Mathematics, 3 credits
MATH 573, Mathematics Materials for the Teacher of Mathematics, 3 credits
MATH 574, Problem Analysis in Secondary Mathematics, 3 credits
MATH 575, Selected Topics in Mathematics Education, 3 credits
MATH 576, Research Seminar in Mathematics Education, 3 credits
MATH 577, Mathematics Education in the Elementary School, 3 credits
MATH 578, Special Topics in Mathematics Education, 3 credits
MATH 579, Applied Mathematics for the Secondary Schools, 3 credits

with at least one course selected from each of the following three groups:

Group A:  Methods and Curricula
MATH 570, Administration and Supervision of Mathematics, 3 credits
MATH 571, Curriculum Construction in Mathematics, 3 credits
MATH 572, Teaching of General Mathematics, 3 credits
MATH 573, Mathematics Materials for the Teacher of Mathematics, 3 credits

Group B:  Mathematics Content from an Advanced Perspective
MATH 574, Problem Analysis in Secondary Mathematics, 3 credits
MATH 575, Selected Topics in Mathematics Education, 3 credits
MATH 579, Applied Mathematics for the Secondary Schools, 3 credits

Group C:  Technology
MATH 512, Technology in the Middle School Mathematics Curriculum, 3 credits
MATH 513, Computer Science Concepts for High School Teachers, 3 credits
MATH 514, *Advanced Placement Computer Science Concepts with Pascal, 3 credits

II. Mathematics and/or Computer Science Electives
(15 semester hours)

Five courses selected from:

Algebra:
MATH 531, 532, Abstract Algebra I, II, 3 credits EACH
MATH 535, 536, Linear Algebra I, II, 3 credits EACH

Analysis:
MATH 521, 522, Real Variables I, II, 3 credits EACH
MATH 525, 526, Complex Variables I, II, 3 credits EACH

Applied Mathematics Continuous:
MATH 560, Numerical Analysis, 3 credits
MATH 564, Ordinary Differential Equations, 3 credits
MATH 566, Partial Differential Equations, 3 credits
MATH 568, Applied Mathematics: Continuous, 3 credits

Applied Mathematics Discrete:
MATH 569, Applied Mathematics: Discrete, 3 credits
MATH 580, Combinatorial Mathematics, 3 credits
MATH 581, Graph Theory, 3 credits
MATH 584, Selected Topics in Operations Research, 3 credits

Computer Science:
CMPT 574, Pixel and Image Processing, 3 credits
CMPT 575, Introduction to Computer Graphics, 3 credits
CMPT 576, Object-Oriented Software Development, 3 credits
CMPT 578, Introduction to Artificial Intelligence, 3 credits
CMPT 582, Theory of Automata and Formal Languages, 3 credits
CMPT 584, Operating System Design, 3 credits
CMPT 585, Topics in Computer Science, 3 credits
CMPT 587, Microcomputers and Computer Interfaces, 3 credits
CMPT 588, Fundamentals of Programming Languages, 3 credits
CMPT 589, Computer Simulation of Discrete Systems, 3 credits
CMPT 590, Computer Simulation of Continuous Systems, 3 credits
CMPT 591, Compiler Theory and Construction, 3 credits
CMPT 593, Structure Systems Design and Analysis, 3 credits
CMPT 594, Software Engineering and Reliability, 3 credits
CMPT 596, Principles of Data Communication, 3 credits
CMPT 678, Neurocomputing, 3 credits
CMPT 680, Parallel Architectures and Algorithms, 3 credits
CMPT 683, Advanced Computer Algorithms, 3 credits
CMPT 690, Independent Study in Computer Science, 3 credits
CMPT 695, Seminars in Computer Science, 1-4 credits
CMPT 696, Local Area Networks, 3 credits

Geometry:
MATH 551, Topology, 3 credits
MATH 554, Projective Geometry
MATH 555, Differential Geometry, 3 credits

Statistics:
MATH 540, Probability, 3 credits
MATH 541, Applied Statistics, 3 credits
MATH 544, Statistical Computing, 3 credits
MATH 548, Applied Regression Analysis, 3 credits

Courses must be taken in at least 3 of these 7 areas. At least 9 semester hours must be at the 500 level. MATH: 425 and 431 must be elected if equivalent courses have not been taken previously.

III. Free Electives (6 semester hours)

Culminating Experience: Mathematics Education (courses from Groups A and B), and a specialty selected from Algebra, Analysis, Computer Science, or Statistics. If approved by the Graduate Committee a student may write a thesis in lieu of taking the Comprehensive Examination. In this case, MATH 698 Thesis Research will be taken as a free elective for 3 semester hours.

*MATH: 514, 516, 517 and 560 even though listed in two areas may only count for credit in one of the two areas.

TO APPLY TO THIS PROGRAM, PLEASE VISIT http://www.montclair.edu/graduate/prospective/app.shtml