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¸£Àû±ÆÕ¾ Catalog 2023-2024

Mathematics Education (BS) and Statistics (BS) (Double Major)

This is an archived copy of the 2023-2024 catalog. To access the most recent version of the catalog, please visit .

The double degree in Mathematics Education (BS) and Statistics (BS) is one of two double degree options in the Mathematics Education program in the Department of STEM Education.Ìý

This degree program prepares teacher-leaders to have a deep understanding of the mathematics and statistics they will teach and knowledge about different pedagogical strategies they can apply in the classroom. Students take five courses focused on mathematics education, beginning in their sophomore year. Our professional courses in the junior and senior year offer relevant pedagogical experiences, emphasize teaching mathematics with technology, and provide rich field experiences in math classrooms. Graduates are recommended for an initial North Carolina teaching license in mathematics grades 9-12. They will be able to seek employment opportunities in education and make a positive difference in their communities.Ìý

In addition, students earn a degree in Statistics. Upper level statistics electives help prepare students for a variety of statistics-related fields in addition to teaching at the secondary level and graduate study in statistics or related fields.Ìý

Students in this program also have the opportunity to participate in:Ìý

  • Undergraduate researchÌý
  • Kappa student chapter of the NC Council of Teachers of Mathematics, and other high impact experiences such as Passport to Success, SAY Village, and study abroadÌý
  • Tutoring in local schools
    Ìý

For more information about this program, visit our .Ìý

Program Coordinator:Ìý

Dr. Cyndi EdgingtonÌý
502J Poe Hall
919.515.1754
cpedging@ncsu.edu

Ìý

Plan Requirements

Orientation Course
EDÌý100Intro to Education 22
Natural Sciences
Natural Science Elective 18
To satisfy the science requirement, a sequence of two lab-based courses (BIOÌý181 and BIOÌý183, or CHÌý101/CHÌý102 and CHÌý201/CHÌý202, or PYÌý205 and PYÌý208, or PYÌý201 and PYÌý202, or PYÌý211 and PYÌý212) must be taken. The third science may be selected from the GEP list of approved science courses.
GEP Natural Sciences3
Mathematical Sciences
MAÌý141Calculus I 24
MAÌý241Calculus II 24
MAÌý242Calculus III 24
MAÌý225Foundations of Advanced Mathematics 23
MAÌý405Introduction to Linear Algebra 23
MAÌý403Introduction to Modern Algebra 23
MAÌý408Foundations of Euclidean Geometry 23
Statistics
STÌý311Introduction to Statistics 23
STÌý312Introduction to Statistics II 23
STÌý307Introduction to Statistical Programming- SAS 21
STÌý308Introduction to Statistical Programming - R 21
STÌý421Introduction to Mathematical Statistics I 23
STÌý422Introduction to Mathematical Statistics II 23
STÌý430Introduction to Regression Analysis 23
STÌý431Introduction to Experimental Design 23
STÌý432Introduction to Survey Sampling 23
STÌý445Introduction to Statistical Computing and Data Management 23
Advanced Statistics Elective 23
Communication
COMÌý112Interpersonal Communication3
Professional Education
EMSÌý204Introduction to Mathematics Education 32
EDÌý204Introduction to Teaching in Today's Schools 22
EDPÌý304Educational Psychology 23
ELPÌý344School and Society 23
EMSÌý480Teaching Mathematics with Technology 23
EDÌý311Classroom Assessment Principles and Practices 22
EDÌý312Classroom Assessment Principles and Practices Professional Learning Lab 21
EMSÌý472Teaching Mathematics Topics in Senior High School 23
EMSÌý470Methods and Materials for Teaching Mathematics 23
EMSÌý471Student Teaching in Mathematics 210
EMSÌý490School Mathematics from an Advanced Perspective 23
EMSÌý495Senior Seminar in Mathematics and Science Education 22
ECIÌý416Teaching Exceptional Students in the Mainstreamed Classroom 23
GEP Courses
ENGÌý101Academic Writing and Research 14
GEP Humanities6
GEP Health and Exercise Studies2
GEP Interdisciplinary Perspectives2
GEP Global Knowledge (verify requirement)
GEP US Diversity, Equity, and Inclusion3
Foreign Language Proficiency (verify requirement)
Total Hours126
1

A grade of C- or higher is required.

2

A grade of C or higher is required.

3

A grade of B- or higher is required.

Natural Science Lab Course Electives

Chemistry Sequence
CHÌý101
&ÌýCHÌý102
Chemistry - A Molecular Science
and General Chemistry Laboratory
4
CHÌý201
&ÌýCHÌý202
Chemistry - A Quantitative Science
and Quantitative Chemistry Laboratory
4
Biology Sequence
BIOÌý181Introductory Biology: Ecology, Evolution, and Biodiversity4
BIOÌý183Introductory Biology: Cellular and Molecular Biology4
Physics Sequence A
PYÌý205
&ÌýPYÌý206
Physics for Engineers and Scientists I
and Physics for Engineers and Scientists I Laboratory
4
PYÌý208
&ÌýPYÌý209
Physics for Engineers and Scientists II
and Physics for Engineers and Scientists II Laboratory
4
Physics Sequence B
PYÌý201¸£Àû±ÆÕ¾ Physics I4
PYÌý202¸£Àû±ÆÕ¾ Physics II4
Physics Sequence C
PYÌý211College Physics I4
PYÌý212College Physics II4

Advanced Statistics Elective

STÌý401Experiences in Data Analysis4
STÌý404Epidemiology and Statistics in Global Public Health3
STÌý405Applied Nonparametric Statistics3
STÌý412Long-Term Actuarial Models3
STÌý413Short-Term Actuarial Models3
STÌý433Applied Spatial Statistics 3
STÌý434Applied Time Series3
STÌý437Applied Multivariate and Longitudinal Data Analysis 3
STÌý440Applied Bayesian Analysis3
STÌý442Introduction to Data Science3
STÌý491Statistics in Practice3
STÌý495Special Topics in Statistics1-6
STÌý501Fundamentals of Statistical Inference I3
STÌý502Fundamentals of Statistical Inference II3
STÌý503Fundamentals of Linear Models and Regression3
STÌý505Applied Nonparametric Statistics3
STÌý5063
STÌý507Statistics For the Behavioral Sciences I3
STÌý5083
STÌý511Statistical Methods For Researchers I3
STÌý512Statistical Methods For Researchers II 3
STÌý513Statistics for Management and Social Sciences I3
STÌý514Statistics For Management and Social Sciences II3
STÌý515Experimental Statistics for Engineers I3
STÌý516Experimental Statistics For Engineers II3
STÌý517Applied Statistical Methods I3
STÌý519Teaching and Learning of Statistical Thinking3
STÌý520Statistical Principles of Clinical Trials3
STÌý5243
STÌý533Applied Spatial Statistics 3
STÌý534Applied Time Series3
STÌý535Statistical Methods for Quality and Productivity Improvement3
STÌý537Applied Multivariate and Longitudinal Data Analysis 3
STÌý540Applied Bayesian Analysis3
STÌý544Applied Categorical Data Analysis3
STÌý546Probability and Stochastic Processes I3
STÌý555Statistical Programming I3
STÌý556Statistical Programming II3
STÌý557Using Technology to Teach and Learn with Data3
STÌý561Applied Econometrics I3
STÌý562Data Mining with SAS Enterprise Miner 3
STÌý590Special Topics1-6

Semester Sequence

This is a sample.

Plan of Study Grid
First Year
Fall SemesterHours
MAÌý141 Calculus I 3 4
ENGÌý101 Academic Writing and Research 4
STÌý311 Introduction to Statistics 3 3
GEP Health and Exercise Studies 1
EDÌý100 Intro to Education 1 2
ÌýHours14
Spring Semester
MAÌý241 Calculus II 3 4
Science 2 4
STÌý312 Introduction to Statistics II 3 3
COMÌý112 Interpersonal Communication 3
STÌý307 Introduction to Statistical Programming- SAS 3 1
ÌýHours15
Second Year
Fall Semester
MAÌý242 Calculus III 3 4
MAÌý225 Foundations of Advanced Mathematics 3 3
Science 2 4
STÌý308 Introduction to Statistical Programming - R 3 1
EMSÌý204 Introduction to Mathematics Education 1 2
EDÌý204 Introduction to Teaching in Today's Schools 1 2
GEP Health and Exercise Studies 1
ÌýHours17
Spring Semester
STÌý445 Introduction to Statistical Computing and Data Management 3 3
MAÌý405 Introduction to Linear Algebra 3 3
Science 2 3
ECIÌý305 Equity and Education 1 3
GEP Humanities 3
GEP Humanities 3
ÌýHours18
Third Year
Fall Semester
STÌý421 Introduction to Mathematical Statistics I 4 3
MAÌý403 Introduction to Modern Algebra 4 3
EDÌý311 Classroom Assessment Principles and Practices 2 2
EDÌý312 Classroom Assessment Principles and Practices Professional Learning Lab 2 1
EDPÌý304 Educational Psychology D, 2 3
ECIÌý416 Teaching Exceptional Students in the Mainstreamed Classroom 2 3
STÌý430 Introduction to Regression Analysis 4 3
ÌýHours18
Spring Semester
STÌý422 Introduction to Mathematical Statistics II 4 3
STÌý432 Introduction to Survey Sampling 4 3
EMSÌý480 Teaching Mathematics with Technology 1 3
EMSÌý472 Teaching Mathematics Topics in Senior High School 1 3
ELPÌý344 School and Society 1 3
GEP Interdisciplinary Perspectives 2
ÌýHours17
Fourth Year
Fall Semester
MAÌý408 Foundations of Euclidean Geometry 3 3
STÌý431 Introduction to Experimental Design 3 3
EMSÌý470 Methods and Materials for Teaching Mathematics 1 3
Advanced Statistics Elective 3 3
EMSÌý490 School Mathematics from an Advanced Perspective 1 3
GEP US Diversity, Equity, and Inclusion 3
ÌýHours18
Spring Semester
EMSÌý471 Student Teaching in Mathematics 1 10
EMSÌý495 Senior Seminar in Mathematics and Science Education 1 2
ÌýHours12
ÌýTotal Hours129
1

A grade below a B- is not permitted in EMS 204. A grade below a C is not permitted in all other EMS, EDP, ECI, ELP, and ED courses.

2

At most one grade below a C- is permitted in the courses satisfying the science requirement.

3

At most one grade below a C is permitted in the mathematics, statistics, and computer science courses. A C- or better is required in ST
421.