



|
| OPERATIONS & INFORMATION MANAGEMENT
| | PhD PROGRAM |
| |
|
The program in Operations and Information Management trains world-class scholars in
the disciplines of decision processes, information and decision technologies, information
strategy, operations management and operations research. The program emphasizes
research that focuses on real management problems and maintains a balance between
theory and implementation.
The program is designed to admit and train a small cohort of exceptionally able PhD
students who show promise for an academic career in fundamental and applied research
and teaching. Applicants are expected to have completed introductory courses in
economics and mathematics (including calculus and linear algebra). Successful
applicants typically possess a strong mathematical background and an aptitude for
analytical thinking. All applicants must take either the GMAT or the GRE General Test.
The program permits custom-tailoring to each student’s interests. The early stage of the
program establishes rigorous foundations through the departmental core (three courses).
During this stage students also begin to specialize in coursework. The program provides
opportunities for students to conduct research in the form of summer papers under the
supervision of faculty members. These papers provide a transition from coursework into
the dissertation phase of the program.
|
| |
| |
|
About The Wharton OPIM PhD Program
The Operations and Information Management (OPIM) at the Wharton School is one of the largest PhD
programs among top business schools. This affords us the ability to have the majority of our PhD
courses taught by our own faculty. Both our department and the School are consistently ranked #1 by a
variety of academic and business publications*.
The PhD program in OPIM exists within the Wharton School, a business school; however, most students
come to us with backgrounds in engineering, the humanities, or the sciences and some have extensive
previous training in business or economics. Our diverse group of doctoral students comes from top
undergraduate and graduate institutions from around the globe: Chile, China, India, Israel, Italy, Russia,
Spain, Turkey, and the United States, to name a few. Each year we admit up to 10 new PhD students to
our program.
*See the following source for the ranking of our department:
Operations Research Management Science Today
UTD Top 100 Business School Research Rankings
Academy of Management Journal
|
| |
| |
|
Learning, Research, and Working at Wharton |
| |
|
Wharton provides a stimulating and friendly environment for doctoral studies. Students are located in
the same suite as faculty enabling daily interactions, as opposed to many other schools where students
occupy a different building or a different floor. While at Wharton, students have an opportunity to
receive training in a wide spectrum of research methodologies, including observational field studies,
experimental work in a laboratory, empirical data analysis, data-mining , economic modeling, and
applied modeling for decision support systems. In addition, students obtain rigorous training in
operations research methods, optimization, statistics, stochastic processes, and economics. Most other
programs specialize in just one or two methodologies. PhD programs in business, in general, graduate
fewer students each year than industrial engineering, operations research or economics departments.
Consequently, we allow students to get better access to faculty and more personalized treatment.
Our faculty focuses on applied research and, as a result, teach using more applied, business-relevant
examples that are directly connected to the business world; shifting away from highly theoretical
problems. As a result, we encourage students to engage in research projects with high-level managers
while conducting their research, a benefit that is enabled by our high visibility in the corporate world.
Such opportunities for close interaction with practicing managers are rarely available elsewhere. A
recent emphasis on business-relevant research encouraged by school deans (see
“Business Education
Under the Microscope,” Businessweek, Dec. 26, 2007) means that our graduates are in even higher demand.
The Department offers students considerable flexibility with the topic they may research and the faculty
they may collaborate with. In fact, students have the freedom to select their research topics and
advisors. Of course, as this is no simple task, our faculty works closely with students to guide them
towards interesting research problems. According to our data, this all relates to better placement statistics
and higher post-Wharton research productivity for our graduates. Student research topics
span supply chain management, service operations, manufacturing, new product development, decision
models, experimental economics, information systems economics, data mining, and econometric data
analysis. Students have unprecedented flexibility to work on inter-disciplinary topics and are able to get
exposure to issues that they may not encounter in more narrowly focused groups.
|
| |
| |
|
Financial Aid and Stipends
|
| |
|
We award fellowships and teaching assistantships to all admitted students. A typical financial aid
packages includes a four-year award that covers tuition, fees, enrollment in the UPenn Student Health
Plan, and an annual stipend of $24,000 for living expenses. During a student’s first four summers, they
are awarded a $4,000 stipend for continued research. An annual $800 budget is available to students to
support travel to academic conferences and presentations. In addition, the Department and the School
fund several teaching and research assistantships that provide additional income. Furthermore, most
students receive additional funding directly from their advisors to support their research activities.
|
|
| | |
| |
|
Living in Philadelphia
The City of Philadelphia is the largest city in the State of Pennsylvania and the 6th most populous in the
United States with nearly 1.5 million citizens. You will find that Philadelphia is centrally located giving
you easy access to other large metropolitan areas (New York City, Washington, Boston) and educational
institutions along the East Cost. The Atlantic Ocean is only an hour drive to the New Jersey coast.
From within the City, there is easy access to local and national railways, the airport, regional bus service,
and public transportation (subway and bus).
In comparison to cities where other major business schools are located, Philadelphia, on average, is a
relatively more affordable place to live.
| City |
|
Average Rent: 1 BDR Apartment* |
| Philadelphia, PA |
|
$965 |
| Chicago, IL |
|
$1,000 |
| Los Angeles, CA |
|
$1,180 |
| Cambridge, MA |
|
$1,485 |
| Palo Alto, CA |
|
$1,629 |
| New York, NY |
|
$2,175 |
* Data extracted from the 2007 average rent provided by www.apartmentratings.com
|
| |
|
Post-Wharton
After completing studies at Wharton, students are more likely to be placed in academia (our placement
record is one of the best) as opposed to industry positions. Our recent graduates have taken academic
positions at institutions such as Carnegie Mellon, Chicago, Columbia, Duke, Harvard, INSEAD, New
York University, Stanford, UCLA and Virginia. Unlike many other more narrowly focused
departments, we place our graduates in operations, information systems, marketing, management and
other disciplines. Demand for business PhD students in our areas of specialization is very strong and the
number of job openings far exceeds the number of graduates. Thus, starting salaries continue to grow
steadily. As an extra benefit, we have an extensive alumni network that is very active and dedicated to
helping new graduates.
|
| |
| |
|
Program of Study |
| |
|
The program is designed to be completed within four uninterrupted years, including
summers, of full-time study and research.
In a student’s first year the student takes foundational courses including the departmental
core, microeconomics and statistics. During this time students identify the area in which
they wish to focus their education and research. During their first summer, students work
on a research project in their chosen area under the supervision of a faculty member. A
paper based on their research is completed by the end of the summer. In addition, at the
end of the summer students take a qualifying exam in their area of specialization. There
are five areas of specialization: decision processes (DP), information and decision
technology (IDT), information, strategy and economics (ISE), operations management
(OM) and operations research (OR).
Upon passing their qualifying exam, students develop a program of in-depth study and
research organized around their research interests. Advanced courses help in the final
choice of an area of specialization and a dissertation topic. During the summer between
their second and third years, students write a research paper under the supervision of a
faculty member. This paper provides an important transition between coursework and
dissertation research, and often becomes a part of the dissertation.
In the third year a student finishes course work and begins the preparation of a dissertation
proposal. This proposal provides some initial results and a specific plan for the
completion of a dissertation. The formal defense of the dissertation proposal generally
occurs at the end of the third year. After formal approval of the proposal, the student
completes the dissertation. A student completes the program by successfully defending
his or her dissertation.
|
|

|
|
Departmental Requirements
|
|
| |
|
A total of 20 course credits are required for graduation. Up to eight appropriate graduate
course credits can be transferred from another graduate institution, after approval of the
student’s advisor and of the PhD coordinator. (For each course a students wishes to
transfer the student should submit to their advisor and the PhD coordinator the name of the
course, a description of the course, the comparable Wharton course and an official
transcript listing the course and grade.) This section outlines the remaining requirements
for all PhD students in OPIM.
Core Courses
All students must choose three out of the following four departmental core courses. The
four courses are
OPIM 900 Decision Processes
OPIM 940 Operations Management
OPIM 950 Information and Decision Technology
OPIM 960 Information, Strategy and Economics
Students are expected to earn a B+ or better in these core courses in order to satisfy the
core course requirement.
|
|

|
| |
|
Statistics
The Wharton School requires all PhD students to demonstrate proficiency in the material
covered in one of the following course sequences: Statistics 510-511; Statistics 540-541
Statistics 550-551; and Economics 705-706. Students may demonstrate proficiency by
either receiving a grade of B- or better in each course, or by passing a waiver exam
administered by the Economics or Statistics Departments, or by transferring a comparable
graduate level course from another institution. Students may choose courses across sequences
(e.g., 510 and 551) with permission from the PhD coordinator. Students are expected to complete
their statistics requirements within their first year (i.e., before their qualifying exam).
Teacher Development Program
The Wharton School requires all PhD students to complete the Teacher Development
Program (TDP). Students should complete this program before being admitted to
candidacy. Waivers of the TDP are granted under the following conditions: prior teaching
experience, recognized teaching awards, college-level education courses.
|
|

|
| |
|
Requirement for Each Area of Specializations |
| |
|
This section provides a brief description of each of the five areas of specialization within
the department. Furthermore, the required courses for each specialization are listed.
Beyond the required courses, students do have the flexibility to construct a set of courses
that support their progress towards the completion of a dissertation. The particular
program of study adopted by the student should be developed in consultation with the
student’s advisor.
Decision Processes (DP)
DP focuses on making choices when faced with ambiguity, uncertainty and conflicting
views and motivations of the principal stakeholders. This specialization gives students a
theoretical basis and applied orientation for studying the behavior of individuals, firms and
policymakers. Students are guided by formal, normative models of how decisions should
be made, based on economic and statistical decision theories, as well as by descriptive
analyses of how decisions are actually made, drawing on recent work in cognitive and
experimental psychology as well as experimental economics.
In addition to the departmental course requirements, students in Decision Process are
required to take the decision processes core (OPIM 900), two economics courses (ECON
681-682 or ECON 701-703), two methodology courses (e.g., OPIM 906 and PPM 900)
and three research field courses. The research field courses, chosen in consultation with
the student’s advisor, provide a foundation for dissertation research.
The qualifying exam in DP draws from material covered in OPIM 900, Microeconomics I
(ECON 681 or 701) and Microeconomics II (Econ 682 or 702).
Information and Decision Technology (IDT)
IDT focuses on the analytical and information technology-based methods for managing
complex organizations. This specialization concentrates on the theory, development, and
application of computer-implemented technology for solving problems. It draws upon
rigorous perspectives from the information and decision technologies, and seeks creative
syntheses of these symbiotic approaches.
In addition to the departmental course requirements, students in IDT are required to take
the IDT core course (OPIM 950), two economics courses (ECON 681-682 or ECON 701-
703) and at least four advanced IDT courses. Exactly which advanced courses are most
appropriate depend on the (possibly customized) program being pursued. Examples
include OPIM 902 Game Theory II, OPIM 910 Mathematical Programming, OPIM 918
Computation of Equilibria, OPIM 951 Logic Modeling, OPIM 952 Knowledge-Based
Systems, OPIM 953 Knowledge Discovery and Data Mining, and OPIM 954
Evolutionary Computation and Adaptive Artificial Agents.
The qualifying exam in IDT draws from material covered in OPIM 950.
Information, Strategy and Economics (ISE)
ISE focuses on understanding the strategic aspects of information and information
management. This specialization prepares students for the specialized discipline of
information systems economics and strategy, concentrating on necessary methodological
and theoretical foundations in economic theory, statistics/econometrics, and information
technology. Furthermore, it provides familiarity with related disciplines at the
introductory doctoral level.
In addition to the departmental course requirements, students in ISE are required to take
the ISE core course (OPIM 960), two economics courses (ECON 681-682 or ECON 701-
703) and at least two advanced ISE courses (e.g., OPIM 961 and ECON 780).
The qualifying exam in ISE principally draws from material covered in OPIM960,
although students will be expected to be familiar with the material in OPIM666 and
OPIM669.
Operations Management (OM)
OM focuses on the processes that define an organization’s outputs and are central to its
competitive performance. OM is interested in a wide range of organizational types in both
services and manufacturing. Specializations within OM include operations strategy,
product design, process design, technology management, capacity planning, inventory
control, supply chain management and service system planning. This program helps
student develop a deep understanding of the fundamental drivers of operating
performance.
In addition to the school and departmental course requirements, students in OM are
required to take the OM core course (OPIM 940), math programming (OPIM 910),
stochastic processes (OPIM 930), two advanced operations management courses (OPIM
941 plus one other), and four tools courses. Example of tools courses include advanced
linear programming (OPIM 913), advanced nonlinear programming (OPIM 914), game
theory (ECON 713), integer programming (OPIM 916), queuing (OPIM 932), dynamic
programming (OPIM 934), statistical methods/data analysis (STAT 541 or SOC 612),
econometrics (ECON 705 and/or ECON 706) and research methods (PPMT 900 or
MGMT 953).
The qualifying exam in OM draws from material covered in OPIM 930 and OPIM 940.
Operations Research (OR)
OR focuses on the application of mathematical models to social, business and
governmental decision problems. This specialization prepares students to do original and
creative research by providing a thorough background in the theory of OR and related
fields, and an in-depth knowledge of applications of OR methods to a variety of practical
areas. Resulting research focuses on the theory and methodology of OR, and/or on
applying, extending or designing OR methods and models for specific application areas.
In addition to the school and departmental course requirements, students in OR are
required to take math programming (OPIM 910), operations management (OPIM 940),
stochastic processes (OPIM 930), two probability courses (STAT 530 and 531), two
statistics courses (STAT 550 and 551) and five advanced OR courses (e.g., advanced
linear programming OPIM 913, advanced nonlinear programming OPIM 914, graph
theory OPIM 915, integer programming OPIM 916, computation of equilibria OPIM 918,
large scale network programming OPIM 919).
The qualifying exam in OR draws from material in the probability, statistics and
optimization courses.
Summer Paper
Students must complete during their first summer a paper under the supervision of a
faculty advisor. Students should identify a faculty advisor and a topic for their summer
paper by the end of the second semester. At that time a short (1-page) summer paper
proposal should be signed by the student and the advisor and returned to the PhD
coordinator. Students should work closely with their advisor throughout the summer. A
completed paper must be submitted to the PhD coordinator at the end of the summer.
Part of a student’s qualifying exam performance depends on the quality of the student’s
summer paper. The goal is to write a publishable quality paper. It is recognized that this
is an ambitious target for the first summer, but it is a feasible target – several students
have indeed published their first summer paper.
Qualifying Exam
The qualifying exam consists of a written exam, an oral exam and the student’s summer
paper. The qualifying written exam is taken at the start of the student’s first summer.
Each specialization determines the format of their exam. However, the written exam is
generally an open book take home exam over a 24 hour period. After the completion of
the written exam, the student spends the summer working on his or her summer research
paper. The oral exam is scheduled at the end of the summer and students are notified of
their results shortly afterwards.
The OPIM faculty evaluate students based on the quality of their summer paper and their
responses on the written and oral portions of the exam. A student receives a passing
grade if the faculty determines that the student has sufficiently mastered the skills needed
to continue progress towards a PhD in the chosen specialization.
If the faculty determine that a student is missing some basic skills, the faculty can specify
remedial steps the student must undertake to receive a passing grade. These steps
typically include, but are not limited to, reworking responses on the exam, improving the
summer paper and/or completing specific courses with a sufficient grade. The student
must complete all qualifying exam conditions by May 31 of the student’s second
academic year.
If the faculty determine that the student is sufficiently far from meeting requirements (or
if the student fails to meet all conditions by the May 31st deadline), then the student
receives a failing grade and may no longer continue with the program.
Dissertation Proposal
The dissertational proposal is designed to provide a student with early and formal
feedback from the faculty on the student’s dissertation plans. The dissertation proposal
defense should occur at the end of the student’s third year, with the fourth year dedicated
to the completion of the dissertation. The dissertation proposal should include
preliminary results as well as a detailed plan for work that will be completed in the
dissertation.
Dissertation Defense
The final requirement in the program is the dissertation defense, which should occur
around the end of the student’s fourth year.
|
| |
|
| |

|

|

|