Certificate of Professional Achievement in Applied Mathematics


Applied mathematics deals with mathematical concepts and techniques used in various fields of science and engineering. Historically, mathematics was first applied with great success in astronomy and mechanics. Then it developed into a main tool for physics, other physical sciences and engineering. It is now becoming important in the biological, geological, economics, business, etc. With the coming of age of the computer, applied mathematics transcended its traditional style, and now assumes an even greater importance and a new vitality.

Compared with the pure mathematician, the applied mathematician is more interested in problems coming from other fields. Compared with the engineer and the physical scientist, he is more concerned with the formulation of problems and the nature of solutions. Compared with the computer scientist, he is more concerned with the accuracy of approximations and the interpretation of results. Needless to say, even in this age of specialization, the work of mathematicians, scientists, and engineers frequently overlaps. Applied mathematics, by its very nature, has occupied a central position in this interplay, and has remained a field of fascination and excitement for active minds.

Required Courses

Students must take at least three classes from among those listed below. The fourth course can be another APMA class or may be drawn from a closely related academic area such as the Department of Industrial Engineering/Operations Research, Computer Science, or another department subject to the approval of the Academic Advisor. A list of elective courses is provided below.

APMA E4001: Principles of Applied Mathematics

APMA E4101: Introduction to nonlinear Dynamical Systems

APMA E4200: Partial Differential Equations I

APMA E4204: Functions of a Complex Variable

APMA E4300: Numerical Methods

APMA E4301: Numerical Methods for Partial Differential Equations


Elective Courses

Additional courses not listed below can be applicable towards the elective requirement, subject to the approval of the faculty advisor.

APMA E4400: Introduction to Biophysical Modeling

CSOR W4231: Analysis of Algorithms, I

COMS W4236: Introduction to Computational Complexity

COMS W4241: Numerical Algorithms and Complexity

COMS W4252: Computational Learning Theory

IEOR E4003: Industrial Economics

IEOR E4004: Introduction to Operations Research: Deterministic Models

IEOR E4007: Optimization: Models and Methods

IEOR E4106: Introduction to Operations research: Stochastic Models

SIEO W4150: Introduction to Probability and Statistics

IEOR E4403: Advanced Engineering and Corporate Economics

IEOR E4407: Game Theoretic Models of Operations

SIEO W4606: Elementary Stochastic Processes

IEOR E4700: Introduction to Financial Engineering

MECE E4100: Mechanics of Fluids

MSAE E4215: Mechanical Behavior of Structural Materials

EEME E6601: Introduction to Control Theory

Certificate Program Requirements

· 4 Graduate-level classes all earned through CVN, under non-degree (Video Special) student status. Students currently in any degree program at Columbia University are not eligible for the Certificate Program through CVN.

· Minimum of 12 credit points

· Minimum GPA of 3.0

· Completion of program within two (2) calendar years.

Credits earned to fulfill the requirements of a Certificate Program may be applied toward an MS or PD degree, subject to the approval of an Academic Advisor. However, students must apply for admission to the University and meet all admissions requirements. Entry into, and completion of a Certificate Program does not ensure acceptance into an MS or PD program.

In order to apply for acceptance into the Certificate Programs, please visit the link below:

Certificate Application and Instructions Page