University Catalog 2023-2024

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

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. 

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. 

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. 

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

  • Undergraduate research 
  • 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 abroad 
  • Tutoring in local schools
     

For more information about this program, visit our website

Program Coordinator: 

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

 

Plan Requirements

Orientation Course
ED 100Intro to Education 22
Natural Sciences
Natural Science Elective 18
To satisfy the science requirement, a sequence of two lab-based courses (BIO 181 and BIO 183, or CH 101/CH 102 and CH 201/CH 202, or PY 205 and PY 208, or PY 201 and PY 202, or PY 211 and PY 212) must be taken. The third science may be selected from the GEP list of approved science courses.
GEP Natural Sciences3
Mathematical Sciences
MA 141Calculus I 24
MA 241Calculus II 24
MA 242Calculus III 24
MA 225Foundations of Advanced Mathematics 23
MA 405Introduction to Linear Algebra 23
MA 403Introduction to Modern Algebra 23
MA 408Foundations of Euclidean Geometry 23
Statistics
ST 311Introduction to Statistics 23
ST 312Introduction to Statistics II 23
ST 307Introduction to Statistical Programming- SAS 21
ST 308Introduction to Statistical Programming - R 21
ST 421Introduction to Mathematical Statistics I 23
ST 422Introduction to Mathematical Statistics II 23
ST 430Introduction to Regression Analysis 23
ST 431Introduction to Experimental Design 23
ST 432Introduction to Survey Sampling 23
ST 445Introduction to Statistical Computing and Data Management 23
Advanced Statistics Elective 23
Communication
COM 112Interpersonal Communication3
Professional Education
EMS 204Introduction to Mathematics Education 32
ED 204Introduction to Teaching in Today's Schools 22
EDP 304Educational Psychology 23
ELP 344School and Society 23
EMS 480Teaching Mathematics with Technology 23
ED 311Classroom Assessment Principles and Practices 22
ED 312Classroom Assessment Principles and Practices Professional Learning Lab 21
EMS 472Teaching Mathematics Topics in Senior High School 23
EMS 470Methods and Materials for Teaching Mathematics 23
EMS 471Student Teaching in Mathematics 210
EMS 490School Mathematics from an Advanced Perspective 23
EMS 495Senior Seminar in Mathematics and Science Education 22
ECI 416Teaching Exceptional Students in the Mainstreamed Classroom 23
GEP Courses
ENG 101Academic 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
CH 101
CH 102
Chemistry - A Molecular Science
and General Chemistry Laboratory
4
CH 201
CH 202
Chemistry - A Quantitative Science
and Quantitative Chemistry Laboratory
4
Biology Sequence
BIO 181Introductory Biology: Ecology, Evolution, and Biodiversity4
BIO 183Introductory Biology: Cellular and Molecular Biology4
Physics Sequence A
PY 205
PY 206
Physics for Engineers and Scientists I
and Physics for Engineers and Scientists I Laboratory
4
PY 208
PY 209
Physics for Engineers and Scientists II
and Physics for Engineers and Scientists II Laboratory
4
Physics Sequence B
PY 201University Physics I4
PY 202University Physics II4
Physics Sequence C
PY 211College Physics I4
PY 212College Physics II4

Advanced Statistics Elective

ST 401Experiences in Data Analysis4
ST 404Epidemiology and Statistics in Global Public Health3
ST 405Applied Nonparametric Statistics3
ST 412Long-Term Actuarial Models3
ST 413Short-Term Actuarial Models3
ST 433Applied Spatial Statistics 3
ST 434Applied Time Series3
ST 437Applied Multivariate and Longitudinal Data Analysis 3
ST 440Applied Bayesian Analysis3
ST 442Introduction to Data Science3
ST 491Statistics in Practice3
ST 495Special Topics in Statistics1-6
ST 501Fundamentals of Statistical Inference I3
ST 502Fundamentals of Statistical Inference II3
ST 503Fundamentals of Linear Models and Regression3
ST 505Applied Nonparametric Statistics3
ST 5063
ST 507Statistics For the Behavioral Sciences I3
ST 5083
ST 511Statistical Methods For Researchers I3
ST 512Statistical Methods For Researchers II 3
ST 513Statistics for Management and Social Sciences I3
ST 514Statistics For Management and Social Sciences II3
ST 515Experimental Statistics for Engineers I3
ST 516Experimental Statistics For Engineers II3
ST 517Applied Statistical Methods I3
ST 519Teaching and Learning of Statistical Thinking3
ST 520Statistical Principles of Clinical Trials3
ST 5243
ST 533Applied Spatial Statistics 3
ST 534Applied Time Series3
ST 535Statistical Methods for Quality and Productivity Improvement3
ST 537Applied Multivariate and Longitudinal Data Analysis 3
ST 540Applied Bayesian Analysis3
ST 544Applied Categorical Data Analysis3
ST 546Probability and Stochastic Processes I3
ST 555Statistical Programming I3
ST 556Statistical Programming II3
ST 557Using Technology to Teach and Learn with Data3
ST 561Applied Econometrics I3
ST 562Data Mining with SAS Enterprise Miner 3
ST 590Special Topics1-6

Semester Sequence

This is a sample.

Plan of Study Grid
First Year
Fall SemesterHours
MA 141 Calculus I 3 4
ENG 101 Academic Writing and Research 4
ST 311 Introduction to Statistics 3 3
GEP Health and Exercise Studies 1
ED 100 Intro to Education 1 2
 Hours14
Spring Semester
MA 241 Calculus II 3 4
Science 2 4
ST 312 Introduction to Statistics II 3 3
COM 112 Interpersonal Communication 3
ST 307 Introduction to Statistical Programming- SAS 3 1
 Hours15
Second Year
Fall Semester
MA 242 Calculus III 3 4
MA 225 Foundations of Advanced Mathematics 3 3
Science 2 4
ST 308 Introduction to Statistical Programming - R 3 1
EMS 204 Introduction to Mathematics Education 1 2
ED 204 Introduction to Teaching in Today's Schools 1 2
GEP Health and Exercise Studies 1
 Hours17
Spring Semester
ST 445 Introduction to Statistical Computing and Data Management 3 3
MA 405 Introduction to Linear Algebra 3 3
Science 2 3
ECI 305 Equity and Education 1 3
GEP Humanities 3
GEP Humanities 3
 Hours18
Third Year
Fall Semester
ST 421 Introduction to Mathematical Statistics I 4 3
MA 403 Introduction to Modern Algebra 4 3
ED 311 Classroom Assessment Principles and Practices 2 2
ED 312 Classroom Assessment Principles and Practices Professional Learning Lab 2 1
EDP 304 Educational Psychology D, 2 3
ECI 416 Teaching Exceptional Students in the Mainstreamed Classroom 2 3
ST 430 Introduction to Regression Analysis 4 3
 Hours18
Spring Semester
ST 422 Introduction to Mathematical Statistics II 4 3
ST 432 Introduction to Survey Sampling 4 3
EMS 480 Teaching Mathematics with Technology 1 3
EMS 472 Teaching Mathematics Topics in Senior High School 1 3
ELP 344 School and Society 1 3
GEP Interdisciplinary Perspectives 2
 Hours17
Fourth Year
Fall Semester
MA 408 Foundations of Euclidean Geometry 3 3
ST 431 Introduction to Experimental Design 3 3
EMS 470 Methods and Materials for Teaching Mathematics 1 3
Advanced Statistics Elective 3 3
EMS 490 School Mathematics from an Advanced Perspective 1 3
GEP US Diversity, Equity, and Inclusion 3
 Hours18
Spring Semester
EMS 471 Student Teaching in Mathematics 1 10
EMS 495 Senior Seminar in Mathematics and Science Education 1 2
 Hours12
 Total 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.