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DOCTOR OF PHILOSOPHY PROGRAM IN OPERATIONS MANAGEMENT

Questions about the OM Program?
Contact: 
Rene Caldentey
OM PhD Program Coordinator
rcaldent@stern.nyu.edu

 

 

 

 

 





OVERVIEW OF THE OM DOCTORAL PROGRAM

Mission:
To educate and train scholars who will produce first-rate OM research and who will succeed as faculty members in first-rate universities.  Our areas of study include optimization, stochastic modelling, and operations management applications.

Admissions and performance:
We enroll an average of two or three students each year out of more than 100 highly qualified applicants. Students enrolling typically have GMATS over 700 or GREs over 1400. International students typically have TOEFLs higher than 600. Our students are highly competitive within Stern and nationally, and present talks and invited presentations at national and international conferences.

Advising and evaluation:
The OM doctoral program faculty director advises all first-year doctoral students. During the first year students have many opportunities to get to know the research interests of all departmental faculty. By the beginning of the second year, students have selected a concentration advisor who will guide them through the comprehensive exam process and up to the thesis stage. By the middle of the third year students will have selected a thesis advisor. Each year every student submits a statement of intellectual progress to his/her advisor. All faculty meet to review the progress of all students in a day-long meeting each year. At this time, the student's intellectual progress is reviewed and plans for the following year are considered. The results of this review include a formal letter to the student assessing the previous year's work and offering guidance for the following year's work. All students take a comprehensive written and oral exam at the end of the second year. Students defend their thesis proposal by March of their fourth year and defend their completed dissertation at the end of the fourth year or during the fifth year.

Research and interaction with faculty:
Stern's operations management (OM) group has historically included faculty from two disciplines: operations research, and management and organizational behavior.  These two disciplines, along with economics and information systems, continue to have a significant influence on the teaching and research directions of the operations management faculty.  In today's business environment, there is a strong interest in combining strategy and industry structure with operations to yield a competitive advantage to organizations.

Doctoral students in OM take courses in optimization theory, stochastic processes, probability models, inventory theory, planning and scheduling theory, as well as game theory and economics.  Based on the department's philosophy that developing a familiarity with an application industry is essential to long-term success, students are encouraged either to assist faculty members who are actively working with industrial organizations or develop first-hand expertise through individual contacts with firms.

The faculty members focus their research on current and emerging themes in managing operations in today's economy.  They use a combination of analytical, empirical and theory building methodologies to understand: how to design operating systems, contracts and quality systems for the management of decentralized supply chains; best practices in retailing; vehicle routing; call center management; task and workforce scheduling; Internet business models and strategies; and how to forecast new product sales.

Faculty members hold editorial positions on numerous journals and are active in the major societies such as the Institute for Operations Research and Management Science.  As a result of Stern's New York City location, the school and its OM faculty have strong ties with the world's financial organizations and chemical, computer, consumer goods and pharmaceutical companies in the tri-state area.

Details are provided in the  Stern School Bulletin.  For admissions and details about the Stern School's Doctoral Program, click here:  Stern Doctoral Office.


Rene Caldentey
Coordinator, Operations Management Doctoral Program
IOMS Department

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PROGRAM REQUIREMENTS

Doctoral students in OM will be expected to achieve expertise primarily in the area of Operations Research and Management.  In addition, students will take courses focusing on statistics, economics and mathematics.  These courses already exist.  Based on the OM department’s philosophy that developing a familiarity with an application industry is essential to long-term success, Ph.D. students will be encouraged either to assist faculty members who are actively working with industrial organizations or develop first-hand experience through individual contact with firms.

Students may take up to a total of 60 credits as follows:

Note: Substitutions are allowed, when appropriate, with the permission of PhD coordinator.

  • 7 basic courses in OM and related areas (21 credits)
    Linear and Integer Programming
    Combinatorial Optimization and Applications
    Dynamic Programming
    Queuing Theory
    Stochastic Processes
    Microeconomic Theory
    Statistical Inference and Regression Analysis
  • 5 advanced courses in OM (15 credits)
    Supply Chain Management I
    Supply Chain Management II
    Stochastic Modeling
    Scheduling Theory
    Stochastic Control to Revenue Management
  • at least 4 elective courses from the following (12+ credits):
    Real Variables I
    Real Variables II
    Probability Limit Theorems I
    Probability Limit Theorems II
    Numerical Methods I
    Numerical Methods II
    Regression and Multivariate Analysis
    Times Series Analysis
    Forecasting Time Series Data
    Econometrics I
    Econometrics II
    Industrial Organization
    Quantitative Applications in Marketing I
    Special Research Topics in Marketing
    Microeconomic Theory II
    Game Theory I
    Game Theory II
    Nonlinear Optimization
  • 5 research practica (5 credits) and 1 teaching practicum (1 credit)

In addition to required course work, doctoral students will also participate in research projects led by faculty members, attend research seminars, present seminars concerning their own research, and write and attempt to publish research studies.

By fall of the third year, doctoral students are required to take and pass the department’s comprehensive examination.  Doctoral students who complete their coursework and pass the comprehensive exam may apply for the M.Phil degree.

The doctoral program will conclude with the proposal, writing and defense of a dissertation.

Students will be required to complete the doctoral program within six years (most students will graduate in 4-5 years).

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OPERATIONS MANAGEMENT PROGRAM OF STUDY

I.           Minimum Sequence of Courses:

YEAR 1

FALL

3 basic courses
1 advanced OM course

SPRING

2 basic courses
1 advanced OM course
1 elective course

YEAR 2

FALL

2 basic courses
1 advanced OM course
1 elective course

SPRING

2 advanced OM courses
2 elective courses

 

II.     Courses:

Faculty

Title and Description

Offered By

Background courses/ Prerequisites:

Upon recommendation of faculty area coordinator:

S. Varadhan

Introduction to Mathematical Analysis I & II

Courant Institute

R. Kleeman

Linear Algebra

Courant Institute

M. Lewis

Computer Programming Skills (CPAC)

Courant Institute

Required Basic Courses:

J. Zhang

Linear and Integer Programming

OM Group, IOMS Stern

J. Zhang

Combinatorial Optimization and Applications and

Convex Optimization

OM Group, IOMS Stern

R. Caldentey

Dynamic Programming

OM Group, IOMS Stern

S. Seshadri

Queuing Theory

OM Group, IOMS Stern

M. Pinedo or

S. Seshadri

Stochastic Processes

Courant Institute

OM Group, IOMS Stern

K. Eliaz

Microeconomic Theory

Economics Department, GSAS

G. Simon

Statistical Inference and Regression Analysis

Statistics Group, IOMS Stern

Required Advanced Courses

V. Gaur, V. Araman,

M. Armony, G. Janakiram

Supply Chain Management I

OM Group, IOMS Stern

V. Gaur or R. Caldentey

Supply Chain Management II

OM Group, IOMS Stern

S. Seshadri or M. Armony

Stochastic Modeling

OM Group, IOMS Stern

M. Pinedo

Scheduling Theory

OM Group, IOMS Stern

R. Caldentey

Stochastic Control to Revenue Management

OM Group, IOMS Stern

 

Based on requirements, advanced courses may also cover the following topics:

  • Production Scheduling
  • Distribution Logistics
  • Simulation
  • Service Operations Management
  • Auction Theory

OM Group, IOMS Stern

 

III.     Suggested Elective courses from other departments:

Faculty

Title and Description

Offered By

N. Masmoudi

N. Masmoudi

S. Varadhan

G. Ben Arous

M. Overton

O. Widlund, J. Goodman

 

Real Variables I

Real Variables II

Probability Limits Theorems I

Probability Limits Theorems II

Numerical Methods I

Numerical Methods II

Courant Institute

J. Simonoff

C. Hurvich

R. Deo

Regression & Multivariate Analysis

Time Series Analysis

Forecasting Time Series Data

Statistics Group, IOMS, Stern

S. Potter

R. Engle

L. Cabral

Econometrics I

Econometrics II

Industrial Organization

Economics Department, Stern

Y. Chen, or J. Steckel

G. Menon, E. Greenleaf

Quantitative Applications in Marketing I

Special Research Topics in Marketing

Marketing Department, Stern

C. Wilson

J. Benoit

E. Ok

Microeconomic Theory II

Game Theory I

Game Theory I

Economics Department, GSAS

J. Goodman, M. Overton

Nonlinear Optimization

Courant Institute, Comp Sci.

NOTES:

Students are encouraged to take electives to support their research perspective. Samples of electives of three perspectives are shown below; others are possible:

 Management Science: Probability Limit Theorems I, II; Numerical Methods I, II; Nonlinear Optimization
 Empirical Modeling:  Econometrics I, II; Regression & Multivariate Analysis; Time Series Analysis 
 Strategic Management: Organization and Strategy, Industrial Organizational, Advanced Strategy

 

Basic courses or advanced OM courses may be waived only with the permission of the Ph.D. coordinator.

Comprehensive Examinations will be given once per year and include a written and an oral exam. The examinations are constructed by a common group of faculty and are based on the basic and advanced coursework.

 

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DOCTORAL COURSES

B60.3321  Introduction to Stochastic Processes
B60.4303  Stochastic Service Systems
B60.4304  Special Topics: Supply Chain Management
B60.4305  Advanced Topics in Optimization
B60.4306  Dynamic Programming and Stochastic Controls
B60.4308  Applications of Stochastic Control to Revenue Management
B60.4309  Advanced Stochastic Modelling I
B60.4311  Advanced Stochastic Modelling II
B60.4314  Revenue Management and Pricing
B60.4315  Combinatorial Optimization and Applications
B60.4316  Queuing Networks: Theory Applications
B60.4317  Stochastic Inventory Theory
B60.4318  Advanced Topics in Optimization II
B60.4319  Stochastic Simulation
B60.4326  Computational Mathematics and Large Scale Dynamic Programming

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IMPORTANT WEBSITES FOR DOCTORAL PROGRAM

Important web sites for information on the Operations Management doctoral degree program at the Stern School of Business:

Leonard N. Stern School of Business http://www.stern.nyu.edu
New York University http://www.nyu.edu
Doctoral Program at the Stern School of Business http://w4.stern.nyu.edu/phd/
Operations Management Faculty & Ph.D. Student Research and Working Papers http://w4.stern.nyu.edu/ioms/research.cfm?doc_id=2532

 

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DOWNLOAD OR REQUEST A PH.D. PROGRAM APPLICATION

To request and/or download an admissions packet, go to http://w4.stern.nyu.edu/phd/admissions.cfm?doc_id=2878.

To send e-mail to the Doctoral Program Office at the Stern School of Business, send to phd@stern.nyu.edu.

 

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