Graduate
Studies in SDS: Program Outline
Ph.D.
Program Overview
The
primary goals of the program are to provide
students with a strong substantive understanding
of an academic field in the social and decision
sciences, to ensure that students develop the
methodological and analytical skills required to
do rigorous research in their area of interest,
and to train students to think critically and
creatively. In order to achieve these goals, the
departments graduate program is organized
around a set of four fields. They are: Behavioral
Decision Research (BDR), Organization
Science, Technological Change and Industrial
Evolution, and Political Psychology and
Economy. A fifth program option, Research/Mentoring,
is available for interested students with
qualified backgrounds. Additionally, SDS has collaborated with
the Psychology Department in offering a new program leading to
a PhD in Psychology and Behavioral Decision
Research.
The
Graduate Education Committee
The
Ph.D. Program operates under the supervision of
the Graduate Education Committee (GEC). The GEC
monitors student progress and makes
recommendations concerning the program to the
Department Head and the full faculty. The GEC
chair is empowered to rule on relevant day-to-day
issues. The GEC consists of four faculty members,
one representing each field of study in the
department, and one graduate student, selected by
the other graduate students. The Department Head
is also a member ex officio.
Contacts
- Dr. Paul
Fischbeck (412) 268-3240; pf12@andrew.cmu.edu
SDS Department Head.
- Dr.
George Loewenstein (412)
268-8787; gl20@andrew.cmu.edu
Chair of the GEC
- Dr.
John Lehoczky (412) 268-2830; jl16@andrew.cmu.edu Dean of the
College of Humanities & Social
Sciences.
- Connie
Angermeier (412) 268-3251; cla2@andrew.cmu.edu Coordinator of Student Programs.
Connie maintains the graduate students
academic audits and manages the
departments course scheduling and
registration. Please direct all
registration questions to her.
- Amy
Patterson (412) 268-3664; amysp@andrew.cmu.edu Departmental
Business Manager. All questions on general
information should be directed to her as well as any questions
concerning stipend, tuition, departmental
procedures, etc..
General
Requirements
Each
of the doctoral fields of study have the same
general requirements and milestones. The first
stage of requirements is known as precandidacy
for the Ph.D. The precandidacy requirements and
milestones include:
- Completing
at least twelve Ph.D. level courses,
including at least four courses in
methodology;
- Attending
the SDS Ph.D. seminar (first two
semesters; not counted as part of the
twelve courses);
- Completing
a Research Paper (by January 10 of second
year);
- Passing
the Doctoral Qualifying Examinations (by
December 10 of third year);
- Dissertation
Proposal Acceptance (by June 1 of third
year).
Upon
completion of the above requirements, students
will have achieved candidacy for the Ph.D.
The remaining requirements for the Ph.D. include:
- Writing
and defending a Ph.D. Dissertation
(within a recommended four years after
entry into the program).
n.b.: The
timing of these requirements may be different for
students in the Computational Analysis of Social
and Organizational Systems (CASOS) program. The
requirements for the joint PhD in Psychology
and Behavioral Decision Research will vary slightly from
those listed above for students entering through SDS.
Students
may take more than the required twelve courses
(including those taken after the second year) in
order to gain added breadth and/or depth to their
studies.
Students
who enter SDS to earn the Ph.D. may receive an
M.S. degree upon satisfactory completion of the
coursework and research paper requirements.
Continuing into Ph.D. candidacy does not require
changing faculty advisors or changing committee
membership.
Committees
Students
need to form committees for three requirements:
the research paper, the qualifying examinations,
and the dissertation. These committees are
created to provide the student with guidance and
to evaluate the students performance. Each
committee must consist of at least three members,
and the chair of the committee must be an SDS
faculty member (the others may be from outside
SDS or outside CMU). The committee chair is
normally the students principal advisor.
Students must arrange the formation of their
committee by asking faculty for their
participation and submitting a membership
proposal to the GEC for approval. Any subsequent
changes to committee membership must also be
approved by the GEC by petition.
Academic
Standards
All
students must maintain a "B+" grade
point average (3.33) in all graduate coursework
in order to be considered in "good
standing." Failure to do so will place a
student on academic probation. Students on
probation have one semester to raise their grade
average, and failure to do so is grounds for
dismissal from the program.
Any
grade of "incomplete"(letter grade
"I") for a course must be finished by
the end of the semester following the one in
which the course was taken. Failure to finish the
course in this time frame will result in a final
default grade based on the work completed.
FIELDS
OF STUDY
The
four basic fields of study for graduate training
in SDS are: Behavioral Decision Research (BDR),
Organization Science, Technological Change and
Industrial Evolution, and Political
Psychology and Economy. A fifth program
option, Research/Mentoring, is available
for interested students with qualified
backgrounds. Additionally, SDS has collaborated with
the Psychology Department in offering a new program leading to
a PhD in Psychology and Behavioral Decision
Research.
Behavioral
Decision Research (BDR)
is an interdisciplinary field that draws on
insights from psychology and economics to provide
a descriptively realistic picture of human
decision making. BDR shares with economics the
idea that human behavior can be understood as a
purposeful attempt to achieve well-being, or
"utility." It shares with psychology
the recognition that social, cognitive and
emotional factors have great influence on
decisions. For example, people have limited
information-processing capacity, and limited
opportunities to acquire some of the specific
skills needed for effective decision making. The
combination of these perspectives leads BDR to
focus on ways that real-world decision making
deviates from the stylized assumptions of
economicsand on ways in which performance
might be improved. Graduates from this program
are prepared for academic (e.g. psychology
departments or business schools) or industry
positions.
Suggested
courses:
- two
SDS courses in BDR (from 88-702, 88-703,
and 88-715);
- Game
Theory (88-706);
- one
graduate-level course in microeconomics
(90-908 or 47-800);
- four
field-specific methodology courses;
- elective
courses in psychology;
- two
Ph.D. seminars (88-900 and 88-901).
To
learn more about BDR, contact SDS faculty members
Dr. Robyn Dawes (rd1b@andrew.cmu.edu, 268-2055,
PH 219C) or Dr. George Loewenstein
(gl20@andrew.cmu.edu, 268-8787, PH 319D).
Technological
Change and Industrial Evolution relates
to the growth of global competition that has
deepened appreciation of the fundamental role for
technological change. Such change has influenced
the market structures of firms, industries and
regions, and the conditioning of economic
performance. This field of study focuses on the
evolution of firm and industry structure, and its
interplay with technological change. The
determinants of the generation, commercialization
and diffusion of new technologies are explored.
Public policy concerning the funding of basic and
applied research, antitrust, regulation, and
regional economic development is considered, as
is the private management of technological
change.
Suggested
courses:
- one
graduate-level course in microeconomics
(90-908 or 47-800);
- Economics
of Technological Change (88-743);
- Organizational
Theory (88-752);
- Rise
of Industrial Research and Development
(79-821);The
Economics of Entrepreneurship in High
Technology Industries (88-743);
- four
field-specific methodology courses;
- elective
courses;
- two
Ph.D. seminars (88-900 and 88-901).
To
learn more about this track, contact SDS faculty
member Dr. Steven Klepper (sk3f@andrew.cmu.edu,
268-3235, PH 219F).
Political
Economy trains
students for employment in political science
departments, schools of public policy, and other
related programs. Political science has been
deeply influenced by economics and psychology,
and SDS is well prepared to assure that its
graduate students have a sound basic training in
both of these disciplines along with the
understanding of theories of political
institutions and policy analysis. SDS seeks to
equip scholars with the best insights of these
disciplines for the study of political behavior,
political institutions, and public policymaking.
Suggested
courses:
- two
SDS courses in BDR (from 88-702, 88-703,
and 88-715);
- Game
Theory (88-706);
- one
graduate-level course in microeconomics
(90-908 or 47-800);
- Public
Economics (two mini courses, 47-877,
878);
- four
field-specific methodology courses;
- Concepts
and Theories of Political Science
(Political Science 2010 at Univ.
Pittsburgh);
- two
Ph.D. seminars (88-900 and 88-901).
To
learn more about this track, contact SDS faculty
member Dr.
Bill Keech (keech@andrew.cmu.edu,
268-8364, PH 219A).
Research/Mentoring
Program. This is an alternative to the
four fields of study. This program is designed
for students who fall into any of the following
categories: 1) the mature student with specific
career goals, a multidisciplinary interest and a
strong fit with one or more specific faculty
members, 2) the student accepted to a special
joint degree program or secondary degree program
(e.g. an M.S. in statistics), or 3) the student
accepted into the CASOS
program (see below). The Research/Mentoring
Program is an innovative program that emphasizes
multi-disciplinary training, active and
wide-ranging participation in research, and
coursework tailored to the student's needs,
background, and career goals.
Students
in Research/Mentoring are expected to meet the
standard SDS milestones (i.e., research paper,
qualifying exam, and dissertation proposal).
However, the content of the qualifier, and the
possible timing of the milestones may be adjusted
based on the student's background or the program
requirements (in the case of a joint degree or
CASOS). Such adjustments must be discussed with
the GEC. The student's main advisor will be in
SDS. The students are expected to meet the
graduate programs methods and field
requirements. The specific field and the courses
that can be used to meet these requirements are jointly determined by the student and the faculty
advisor. The courses can vary widely depending on
the student's background, career goals, and
program.
CASOS
is the program of study in Computational Analysis
of Social and Organizational Systems. This
program provides students with multi-disciplinary
training and research experience in both computer
science/engineering and social/organizational
science.
Additional
details on the center and affiliated Ph.D.
program can be found at:www.ices.cmu.edu/casos.
Suggested
courses:
- Organizational
Theory (88-743)
- Social
Network Methodology (90-919)
- Multi-Agent
Systems (TBD)
- Computational
Modeling (88-750)
- Research
Practicum
- Two
computer science or mathematics
methodology courses
- Three
social science specific electives
- A
general elective
Psychology and Behavioral Decision
Research. The
Doctoral Program in Psychology and Behavioral Decision
Research draws on this tradition, by building on insights from
psychology and economics to provide a descriptively realistic
picture of human judgment and decision making.
Although there are core requirements for all students,the program is designed to make it easy to combine interests
in several academic areas.
Required
courses:
- two
SDS courses in BDR (88-702 and 88-703);
- one
graduate-level course in microeconomics
(90-908 or 47-800);
- four
field-specific methodology courses;
- elective
courses;
- one
Psychology Core (in concentration area);
- Psychology
Immigration Course;
- one
Ph.D. seminar in SDS (88-900).
For
program information, please contact
any of the core faculty members:
Program
requirements in methodology. As stated above,
each field of study requires four graduate-level
courses in a methodological area to be completed
by the end of their second year. This must
include at least two graduate
courses in statistics. We assume that a knowledge
of research methods equivalent to what we demand
of our undergraduate majors is a basic floor of
methodological sophistication for our graduate
students. Accordingly, new students will be asked
to take an exam based on 88-241 (Empirical
Research Methods II) as a diagnostic tool soon
after they arrive. The results of this test can
be used in deciding what courses to take.
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