¸£Àû±ÆÕ¾

¸£Àû±ÆÕ¾ Catalog 2025-2026

Applied Mathematics (BS)

The B.S. program in Applied Mathematics shares many basic features with the B.S. program in Mathematics. The primary difference is that this program includes a strong interdisciplinary concentration in a related field. The applied concentration, which must be approved by a student’s adviser, should be structured to promote specific career or educational objectives.

Undergraduate research opportunities include:

  • ÌýSociety for Industrial and Applied MathematicsÌý
  • NC State Research Experiences for Undergraduates in MathematicsÌý
  • The Mathematical Biology Research Training GroupÌý
  • Industrial Mathematical & Statistical Modeling (​IMSM​) Program by SAMSI
  • Study abroad opportunities in applied mathematicsÌý
  • SUM Club

For more information about this program visit our .

Department of Mathematics
North Carolina State ¸£Àû±ÆÕ¾
Campus Box 8205
Raleigh, NC 27695

Dr. Alina Duca
Teaching Professor and Director of Undergraduate Programs in Mathematics
SAS Hall 2108B
919.515.1875
anduca@ncsu.edu

Plan Requirements

Orientation (verify requirement) 10
°ä°¿³§Ìý100Science of Change0
´Ç°ùÌý·¡Ìý115 Introduction to Computing Environments
Communication and Advanced Writing
·¡±·³ÒÌý101Academic Writing and Research4
Select one of the following Communication courses (Verify Requirement): 10
Public Speaking
Interpersonal Communication
Argumentation and Advocacy
Language, Communication, and Culture
Select one of the following Advanced Writing courses:3
Communication for Engineering and Technology
Communication for Business and Management
Communication for Science and Research
Analysis of Scientific and Technical Writing
Basic Mathematics
²Ñ´¡Ìý141Calculus I 14
²Ñ´¡Ìý241Calculus II 24
²Ñ´¡Ìý242Calculus III 54
²Ñ´¡Ìý225Foundations of Advanced Mathematics 53
²Ñ´¡Ìý341Applied Differential Equations I 53
Basic Science 3
Courses must be taken from two different disciplines8
Chemistry - A Molecular Science
and General Chemistry Laboratory
General Chemistry I for Students in Chemical Sciences
and General Chemistry Laboratory I for Students in Chemical Sciences
Physics for Engineers and Scientists I
and Physics for Engineers and Scientists I Laboratory
¸£Àû±ÆÕ¾ Physics I
Introductory Biology: Ecology, Evolution, and Biodiversity
Introductory Biology: Cellular and Molecular Biology
Additional GEP Natural Sciences4
Select one of the following three options for the Statistics requirement: 46
Introduction to Probability and Distribution Theory
and Introduction to Statistical Inference and Regression
Introduction to Probability
and Introduction to Mathematical Statistics II
Introduction to Mathematical Statistics I
and Introduction to Mathematical Statistics II
Note: Students considering graduate school are strongly encouraged to select (²Ñ´¡Ìý421 or ³§°ÕÌý421) with ³§°ÕÌý422
Select one of the following Introduction to Programming courses:3
Introduction to Computing: Python
Introduction to Computing - MATLAB
Introduction to Computing - Java
Computer-Based Modeling for Industrial Engineering
Introduction to Scientific Programming (Math)
Introduction to Scientific Computing
Statistical Programming
Advanced Mathematics 5, 6
²Ñ´¡Ìý402Mathematics of Scientific Computing3
²Ñ´¡Ìý405Introduction to Linear Algebra3
²Ñ´¡Ìý407Introduction to Modern Algebra for Mathematics Majors3
²Ñ´¡Ìý425Mathematical Analysis I3
Select one of the following Methods of Applied Math Electives:3
Methods of Applied Mathematics I
Methods of Applied Mathematics II
Dynamic Systems and Multivariable Control I
Dynamic Systems and Multivariable Control I
Dynamic Systems and Multivariable Control I
Mathematical Modeling of Physical and Biological Processes I
Mathematical Modeling of Physical and Biological Processes I
Math Electives 59
Select one of the following three options for the Major Paper Requirement1
Reading in Honors Mathematics
Major Paper in Mathematics
Independent Research in Mathematics
In-Depth Co-Requirement (Verify Requirement)
Major Electives
Applied Electives15
Applied electives are courses intended for students looking to deepen their expertise and apply mathematical concepts across various interdisciplinary fields. This category consists of 15 credit hours, with a minimum of 9 hours of advanced 300-level courses or above, ensuring students engage with complex, real-world problems through a mathematical lens. Students should consider these electives as foundational components for their career paths, choosing courses that resonate with their academic interests. These classes may or may not all be mathematics courses. The selection should focus on leveraging advanced mathematical tools, encouraging a hands-on approach to learning and problem-solving. Students are encouraged to use Advised Elective credits to pursue a minor or a second major. Students are encouraged to collaborate with their academic advisors and/or the Undergraduate Program Director to develop a well-defined plan that aligns with their goals, ensuring a cohesive elective path directly aligned with their long-term goals after graduation. Sample plans can be found at: /
GEP Courses
GEP Humanities6
GEP Social Sciences6
GEP Health and Exercise Studies2
GEP Interdisciplinary Perspectives5
GEP Elective3
GEP Global Knowledge (verify requirement)
GEP Foundations of American Democracy (verify requirement)
World Language Proficiency (verify requirement)
Free Electives 7
Free Electives (12 Hr S/U Lmt)12
Total Hours120
*

Minimum 2.0 math GPA required for graduation.

1

The Orientation and Communication verify requirements are satisfied by some General Education Program courses which could potentially double count.

2

MA 141 and MA 241 must be completed with a grade of C or better.

3

At most one grade below a C- is permitted in Basic Science Electives (CH, PY, BIO). The Statistics and programming requirements must be satisfied with a letter grade of C- or better.

4

(ST 370 with MA 421) ´Ç°ùÌý (ST 370 with ST 421) will be accepted for students transferring into the Mathematics major having already taken ST 370.

5

At most one letter grade of D +/- is permitted in Math Elective courses. No grades of D +/- are permitted in required math courses (MA141, MA241, MA242, MA225, MA341, MA402, MA405, MA407, MA425).

6

No more than 6 total credits each from undergraduate research (MA 491), independent study (MA 499), or credit by examination may be used to meet program requirements (credit from AP exams or transfer credits is not included under this restriction). Also, students must complete at least one-half of the required mathematics credit hours (21) at NC State ¸£Àû±ÆÕ¾.

7

Students are encouraged to use Free Electives credits to pursue a minor or second major. Free electives courses cannot be °ä±áÌý100, °ä±áÌý111, °ä³§°äÌý226, ·¡°ä·¡Ìý220, ²Ñ´¡Ìý101, ²Ñ´¡Ìý107, ²Ñ´¡Ìý108, ²Ñ´¡Ìý111, ²Ñ´¡Ìý121, ²Ñ´¡Ìý131, ²Ñ´¡Ìý231, ±Ê³ÛÌý131, ±Ê³ÛÌý211, ±Ê³ÛÌý212, ·¡±·³ÒÌý100. 100-level World Language Courses (WL*) can be used if not satisfying the language proficiency requirement.

ÌýMath Electives

MAÌý325Introduction to Applied Mathematics3
MAÌý326Mathematical Foundations of Data Science I3
MAÌý335Symbolic Logic3
LOGÌý335Symbolic Logic3
MAÌý351Introduction to Discrete Mathematical Models3
MAÌý401Applied Differential Equations II3
MAÌý404Mathematical Foundations of Data Science II3
MAÌý408Foundations of Euclidean Geometry3
MAÌý410Theory of Numbers3
MAÌý412Long-Term Actuarial Models3
STÌý412Long-Term Actuarial Models3
MAÌý413Short-Term Actuarial Models3
STÌý413Short-Term Actuarial Models3
MAÌý414Foundations of Cryptography3
CSCÌý414Foundations of Cryptography3
MAÌý416Introduction to Combinatorics3
CSCÌý416Introduction to Combinatorics3
²Ñ´¡Ìý421Introduction to Probability3
MAÌý426Mathematical Analysis II3
MAÌý427Introduction to Numerical Analysis I3
CSCÌý427Introduction to Numerical Analysis I3
MAÌý428Introduction to Numerical Analysis II3
CSCÌý428Introduction to Numerical Analysis II3
MAÌý432Mathematical Models in Life Sciences3
MAÌý437Applications of Algebra3
²Ñ´¡Ìý450Methods of Applied Mathematics I3
²Ñ´¡Ìý451Methods of Applied Mathematics II3
²Ñ´¡Ìý491Reading in Honors Mathematics1-3
MAÌý501Advanced Mathematics for Engineers and Scientists I3
MAÌý504Introduction to Mathematical Programming3
ORÌý504Introduction to Mathematical Programming3
MAÌý505Linear Programming3
ISEÌý505Linear Programming3
ORÌý505Linear Programming3
MAÌý513Introduction To Complex Variables3
MAÌý514Foundations of Cryptography3
CSCÌý514Foundations of Cryptography3
MAÌý515Analysis I3
MAÌý518Geometry of Curves and Surfaces3
MAÌý520Linear Algebra3
MAÌý521Abstract Algebra I3
MAÌý522Computer Algebra3
MAÌý523Linear Transformations and Matrix Theory3
MAÌý524Combinatorics I3
MAÌý526Mathematical Analysis II3
MAÌý528Options and Derivatives Pricing3
FIMÌý528Options and Derivatives Pricing3
ECGÌý528Options and Derivatives Pricing3
MBAÌý528Options and Derivatives Pricing3
²Ñ´¡Ìý531Dynamic Systems and Multivariable Control I3
·¡Ìý531Dynamic Systems and Multivariable Control I3
°¿¸éÌý531Dynamic Systems and Multivariable Control I3
MAÌý532Ordinary Differential Equations I3
MAÌý534Introduction To Partial Differential Equations3
MAÌý537Nonlinear Dynamics and Chaos3
MAÌý540Uncertainty Quantification for Physical and Biological Models3
MAÌý542Convex Optimization Methods in Data Science3
MAÌý544Computer Experiments In Mathematical Probability3
MAÌý546Probability and Stochastic Processes I3
STÌý546Probability and Stochastic Processes I3
MAÌý547Stochastic Calculus for Finance3
MAÌý548Monte Carlo Methods for Financial Math3
FIMÌý548Monte Carlo Methods for Financial Math3
MAÌý549Financial Risk Analysis3
FIMÌý549Financial Risk Analysis3
MAÌý551Introduction to Topology3
MAÌý555Introduction to Manifold Theory3
MAÌý561Set Theory and Foundations Of Mathematics3
MAÌý565Graph Theory3
CSCÌý565Graph Theory3
ORÌý565Graph Theory3
²Ñ´¡Ìý573Mathematical Modeling of Physical and Biological Processes I3
B²Ñ´¡Ìý573Mathematical Modeling of Physical and Biological Processes I3
MAÌý574Mathematical Modeling of Physical and Biological Processes II3
BMAÌý574Mathematical Modeling of Physical and Biological Processes II3
MAÌý580Numerical Analysis I3
CSCÌý580Numerical Analysis I3
MAÌý583Introduction to Parallel Computing3
CSCÌý583Introduction to Parallel Computing3
MAÌý584Numerical Solution of Partial Differential Equations--Finite Difference Methods3
MAÌý587Numerical Solution of Partial Differential Equations--Finite Element Method3

In-Depth Co-Req (Verify Requirement)

MAÌý325
&²¹³¾±è;Ìý²Ñ´¡Ìý341
Introduction to Applied Mathematics
and Applied Differential Equations I
0
MAÌý326
&²¹³¾±è;ÌýMAÌý404
Mathematical Foundations of Data Science I
and Mathematical Foundations of Data Science II
0
´Ç°ùÌý²Ñ´¡Ìý402 Mathematics of Scientific Computing
²Ñ´¡Ìý341
&²¹³¾±è;ÌýMAÌý401
Applied Differential Equations I
and Applied Differential Equations II
0
´Ç°ùÌýMAÌý501 Advanced Mathematics for Engineers and Scientists I
²Ñ´¡Ìý341
&²¹³¾±è;ÌýMAÌý432
Applied Differential Equations I
and Mathematical Models in Life Sciences
0
MAÌý401
&²¹³¾±è;Ìý²Ñ´¡Ìý450
Applied Differential Equations II
and Methods of Applied Mathematics I
0
´Ç°ùÌý²Ñ´¡Ìý451 Methods of Applied Mathematics II
MAÌý326
&²¹³¾±è;ÌýMAÌý404
Mathematical Foundations of Data Science I
and Mathematical Foundations of Data Science II
3
²Ñ´¡Ìý407
&²¹³¾±è;ÌýMAÌý437
Introduction to Modern Algebra for Mathematics Majors
and Applications of Algebra
0
´Ç°ùÌýMAÌý521 Abstract Algebra I
²Ñ´¡Ìý405
&²¹³¾±è;ÌýMAÌý520
Introduction to Linear Algebra
and Linear Algebra
0
´Ç°ùÌýMAÌý523 Linear Transformations and Matrix Theory
²Ñ´¡Ìý407
&²¹³¾±è;ÌýMAÌý414
Introduction to Modern Algebra for Mathematics Majors
and Foundations of Cryptography
0
´Ç°ùÌýCSCÌý414 Foundations of Cryptography
²Ñ´¡Ìý407
&²¹³¾±è;ÌýMAÌý521
Introduction to Modern Algebra for Mathematics Majors
and Abstract Algebra I
0
²Ñ´¡Ìý407
&²¹³¾±è;ÌýMAÌý514
Introduction to Modern Algebra for Mathematics Majors
and Foundations of Cryptography
0
´Ç°ùÌýCSCÌý514 Foundations of Cryptography
MAÌý408
&²¹³¾±è;ÌýMAÌý518
Foundations of Euclidean Geometry
and Geometry of Curves and Surfaces
0
MAÌý410
&²¹³¾±è;ÌýMAÌý416
Theory of Numbers
and Introduction to Combinatorics
0
MAÌý412
&²¹³¾±è;ÌýMAÌý413
Long-Term Actuarial Models
and Short-Term Actuarial Models
0
MAÌý416
&²¹³¾±è;ÌýMAÌý524
Introduction to Combinatorics
and Combinatorics I
0
²Ñ´¡Ìý421
&²¹³¾±è;ÌýMAÌý412
Introduction to Probability
and Long-Term Actuarial Models
0
´Ç°ùÌýMAÌý413 Short-Term Actuarial Models
²Ñ´¡Ìý425
&²¹³¾±è;ÌýMAÌý426
Mathematical Analysis I
and Mathematical Analysis II
0
´Ç°ùÌýMAÌý526 Mathematical Analysis II
²Ñ´¡Ìý425
&²¹³¾±è;ÌýMAÌý513
Mathematical Analysis I
and Introduction To Complex Variables
0
´Ç°ùÌýMAÌý515 Analysis I
MAÌý427
&²¹³¾±è;ÌýMAÌý428
Introduction to Numerical Analysis I
and Introduction to Numerical Analysis II
0
²Ñ´¡Ìý450
&²¹³¾±è;Ìý²Ñ´¡Ìý451
Methods of Applied Mathematics I
and Methods of Applied Mathematics II
0
MAÌý515
&²¹³¾±è;ÌýMAÌý551
Analysis I
and Introduction to Topology
0
MAÌý532
&²¹³¾±è;ÌýMAÌý534
Ordinary Differential Equations I
and Introduction To Partial Differential Equations
0
MAÌý546
&²¹³¾±è;ÌýMAÌý547
Probability and Stochastic Processes I
and Stochastic Calculus for Finance
0
MAÌý548
&²¹³¾±è;ÌýMAÌý549
Monte Carlo Methods for Financial Math
and Financial Risk Analysis
0
²Ñ´¡Ìý573
&²¹³¾±è;ÌýMAÌý574
Mathematical Modeling of Physical and Biological Processes I
and Mathematical Modeling of Physical and Biological Processes II
0
MAÌý580
&²¹³¾±è;ÌýMAÌý583
Numerical Analysis I
and Introduction to Parallel Computing
0
MAÌý584
&²¹³¾±è;ÌýMAÌý587
Numerical Solution of Partial Differential Equations--Finite Difference Methods
and Numerical Solution of Partial Differential Equations--Finite Element Method
0

Semester Sequence

This is a sample.

Plan of Study Grid
First Year
Fall SemesterHours
°ä°¿³§Ìý100 Science of Change 1 2
²Ñ´¡Ìý141 Calculus I 2 4
GEP Requirement 3
GEP Natural Sciences 3 4
GEP Health and Exercise Studies 1
ÌýHours14
Spring Semester
·¡±·³ÒÌý101 Academic Writing and Research 4
²Ñ´¡Ìý241 Calculus II 2 4
±Ê³ÛÌý205 Physics for Engineers and Scientists I 3 3
±Ê³ÛÌý206 Physics for Engineers and Scientists I Laboratory 2 1
°ä°¿²ÑÌý292 Language, Communication, and Culture 1 3
ÌýHours15
Second Year
Fall Semester
²Ñ´¡Ìý242 Calculus III 5 4
²Ñ´¡Ìý225 Foundations of Advanced Mathematics 5 3
Introduction to Programming Elective 3 3
µþ±õ°¿Ìý181 Introductory Biology: Ecology, Evolution, and Biodiversity 3 4
GEP Health and Exercise Studies 1
ÌýHours15
Spring Semester
²Ñ´¡Ìý341 Applied Differential Equations I 5 3
²Ñ´¡Ìý405 Introduction to Linear Algebra 5 3
³§°ÕÌý371 Introduction to Probability and Distribution Theory 3, 4 3
Applied Electives 3
Free Elective 7 3
ÌýHours15
Third Year
Fall Semester
²Ñ´¡Ìý407 Introduction to Modern Algebra for Mathematics Majors 5 3
Methods of Applied Math Elective 5 3
Applied Elective 3
Advanced Writing/Speaking Elective 3
³§°ÕÌý372 Introduction to Statistical Inference and Regression 3, 4 3
²Ñ´¡Ìý494 Major Paper in Mathematics 1
ÌýHours16
Spring Semester
²Ñ´¡Ìý402 Mathematics of Scientific Computing 5 3
Advanced Mathematics Elective 5 3
Applied Elective 3
GEP Requirement 3
Free Elective 7 3
ÌýHours15
Fourth Year
Fall Semester
Advanced Mathematics Elective 5 6
Applied Electives 3
GEP Requirement 3
Free Elective 7 3
ÌýHours15
Spring Semester
Advanced Mathematics Elective 5 3
Applied Elective 6
GEP Requirement 3
Free Electives 7 3
ÌýHours15
ÌýTotal Hours120
*

Minimum 2.0 major GPA required for graduation.

1

The Orientation and Communication verify requirements are satisfied by some General Education Program courses which could potentially double count.

2

MA 141 and MA 241 must be completed with a grade of C or better.

3

At most one grade below a C- is permitted in Basic Science Electives (CH, PY, BIO). The Statistics and programming requirements must be satisfied with a letter grade of C- or better.

4

(ST 370 with MA 421) ´Ç°ùÌý (ST 370 with ST 421) will be accepted for students transferring into the Mathematics major having already taken ST 370.

5

At most one letter grade of D +/- is permitted in Math Elective courses. No grades of D +/- are permitted in required math courses (MA141, MA241, MA242, MA225, MA341, MA402, MA405, MA407, MA425).

6

No more than 6 total credits each from undergraduate research (MA 491), independent study (MA 499), or credit by examination may be used to meet program requirements (credit from AP exams or transfer credits is not included under this restriction). Also, students must complete at least one-half of the required mathematics credit hours (21) at NC State ¸£Àû±ÆÕ¾.

7

Students are encouraged to use Free Electives credits to pursue a minor or second major. Free electives courses cannot be °ä±áÌý100, °ä±áÌý111, °ä³§°äÌý226, ·¡°ä·¡Ìý220, ²Ñ´¡Ìý101, ²Ñ´¡Ìý107, ²Ñ´¡Ìý108, ²Ñ´¡Ìý111, ²Ñ´¡Ìý121, ²Ñ´¡Ìý131, ²Ñ´¡Ìý231, ±Ê³ÛÌý131, ±Ê³ÛÌý211, ±Ê³ÛÌý212, ·¡±·³ÒÌý100. 100-level World Language Courses (WL*) can be used if not satisfying the language proficiency requirement.

Career Opportunities

Career Titles

  • Actuary
  • Architectural Drafters
  • Astronomer
  • Biophysicist
  • Computer and Information Scientists
  • Computer Programmer
  • Computer Systems Analyst
  • Computer Systems Engineer
  • Database Administrator
  • Economist
  • Elementary School Teacher
  • Employee Benefits Analyst
  • Epidemiologists
  • Financial Analyst
  • Financial Planner
  • High School Teacher
  • Insurance Claim Examiner
  • Insurance Underwriter
  • Market Research Analyst
  • Materials Scientist
  • Math Professor
  • Mathematician
  • Meteorologist
  • Middle School Teacher
  • Operations Research Analyst
  • Physicist
  • Software Developers - Applications
  • Statistician

Learn More About Careers


Explore North Carolina’s central online resource for students, parents, educators, job seekers and career counselors looking for high quality job and career information.


Browse the Occupational Outlook Handbook published by the Bureau of Labor Statistics to view state and area employment and wage statistics. You can also identify and compare similar occupations based on your interests.

Ìý
View videos that provide career details and information on wages, employment trends, skills needed, and more for any occupation. Sponsored by the U.S. Department of Labor.

(NC State student email address required)
This career, major and education planning system is available to current NC State students to learn about how your values, interests, competencies, and personality fit into the NC State majors and your future career. An NC State email address is required to create an account. Make an appointment with your to discuss the results.

(Available to prospective students)
A career assessment tool designed to support prospective students in exploring and choosing the right major and career path based on your unique personality, interests, skills and values. Get started with Focus 2 Apply and see how it can guide your journey at NC State.