Science Majors:

Consider Mathematics as a Double-Major

 

 

If you are majoring in a field such as biochemistry, chemistry, computer science, physics, or quantitative economics, all of which require the 12-hour calculus sequence, then you may want to consider earning a double-major in mathematics. Students who complete the 2171 – 2173 calculus sequence have satisfied one-third of the hours required to receive a double-major in mathematics. In addition to the requirements for your primary major, here are the specific courses required for a double-major in mathematics:

 

 

 

Requirements for a Double-Major in Mathematics:

 

MATH 2171:  Calculus I                                                  4 hrs.

MATH 2172:  Calculus I                                                  4 hrs.

MATH 2173:  Calculus III                                                            4 hrs.

MATH 3256:  Linear Algebra                                                    3 hrs.

MATH 3263:  Intro. to Modern Algebra                                  3 hrs.

MATH 3307:  Mathematics Statistics I                                          3 hrs.

MATH 4331:  Intro. to Ordinary Differential Equ.                                3 hrs.

MATH 5101:  Advanced Calculus I                                            3 hrs.

Mathematics Elective                                                                3 hrs.

Mathematics Elective                                                                3 hrs.  

CSCI 2600 or CSCI 2510                                                         3 hrs.

Total Required Hours for Math Double-Major:                                  36 hrs.

 

 

 

Suitable 3-hour electives for a Double-Major or Minor in Mathematics

The bold courses are already required for the double-major in mathematics

 

Ø      MATH 3174:             Vector Calculus

Ø      MATH 3233:             College Geometry

Ø      MATH 3307: Mathematical Statistics I    

Ø      MATH 3308:             Mathematical Statistics II

Ø      MATH 3573:            Introduction to Numerical Analysis

Ø      MATH 4201:             Intro. to Stochastic Processes

Ø      MATH 4301: Intro. to Ordinary Differential Equations

Ø      MATH 4332:            The Calculus of Finite Differences

Ø      MATH 5000:            Introduction to Sampling Design

Ø      MATH 5002:            Logic for Mathematics and Computer Science

Ø      MATH 5021:            Number Theory I

Ø      MATH 5064:            Introduction to Modern Algebra II

Ø      MATH 5101: Advanced Calculus I

Ø      MATH 5102:            Advanced Calculus II

Ø      MATH 5110:            Elementary Complex Variables

Ø      MATH 5121:            Numerical Analysis in One Variable

Ø      MATH 5122:            Numerical Analysis in Several Variable

Ø      MATH 5131:            Deterministic Methods in Operations Research

Ø      MATH 5132:            Probabilistic Methods in Operations Research

Ø      MATH 5311:            Mathematical Physics

Ø      MATH 5322:            Foundations of Mathematics

Ø      MATH 5551:            The Historical Development of Mathematics

Ø      MATH 5581:            Theory of Equations

Ø      MATH 5601:            Non-Euclidean Geometry

Ø      MATH 5801:            Probability Theory

 

 

 

 

 

 

 

 

 

For more information, please contact the Professor T. D. Hudson, Mathematics Area Coordinator at 328-6703 or hudsont@mail.ecu.edu.