Industrial Engineering (BS)

The undergraduate program is designed to develop the technical skills and intellectual discipline needed by our graduates to become leaders in industrial engineering and related professions. The program is distinctive in its emphasis on quantitative, economic, computer-aided approaches to production and service management problems. It is focused on providing an experimental and mathematical problem-formulating and problem-solving framework for industrial engineering work. The curriculum provides a broad foundation in the current ideas, models, and methods of industrial engineering. It also includes a substantial component in the humanities and social sciences to help students understand the societal implications of their work.

The industrial engineering program objectives are:

1. To provide students with the requisite analytical and computational skills to assess practical situations and academic problems, formulate models of the problems represented or embedded therein, design potential solutions, and evaluate their impact;
2. To prepare students for the workplace by fostering their ability to participate in teams, understand and practice interpersonal and organizational behaviors, and communicate their solutions and recommendations effectively through written, oral, and electronic presentations;
3. To familiarize students with the historical development of industrial engineering tools and techniques and with the contemporary state of the art, and to instill the need for lifelong learning within their profession; and
4. To instill in our students an understanding of ethical issues and professional and managerial responsibilities.

Industrial Engineering Program

Students must compete a total of 128 points to graduate. An overview of the degree track in PDF format can be found here. 

¹

The linear algebra requirement may be filled by either MATH UN2010 LINEAR ALGEBRA or APMA E3101 APPLIED MATH I: LINEAR ALGEBRA or COMS W3251 COMPUTATIONAL LINEAR ALGEBRA.

²

ENGI E1006 INTRO TO COMP FOR ENG/APP SCI can be replaced by COMS W1004 Introduction to Computer Science and Programming in Java.

³

IEOR E2000 Data Engineering with Python can be replaced by COMS W3134 Data Structures in Java and COMS W4111 INTRODUCTION TO DATABASES. Students cannot get credit for IEOR E2000 Data Engineering with Python if IEOR E2000 Data Engineering with Python is taken after COMS W3134 Data Structures in Java and COMS W4111 INTRODUCTION TO DATABASES.

⁴

Taking required courses later than the prescribed semester is not permitted.

⁵

15 points total. At least 6 points need to be at least 3000 level with the prefix IEOR, ORCS, or CSOR. The complete list is available at ieor.columbia.edu/undergraduate/electives.

⁶

3 points total. Cannot double-count non-technical electives. The complete list is available at ieor.columbia.edu/undergraduate/electives.