OVERVIEW OF THE IS DOCTORAL PROGRAM
Mission:
To educate and train scholars who will produce first-rate IS research and who will succeed as faculty members in first-rate universities. We offer tracks in technical perspectives on IS, economic perspectives on IS, and organizational/management perspectives on IS.
Admissions and performance:
We enroll an average of 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 640. Our students are highly competitive within Stern and nationally. Recently our students have received school-wide awards as "outstanding doctoral students." They have won acceptance at doctoral consortia sponsored by the Academy of Management and the International Conference on Information Systems. And they have won national dissertation research competitions.
Advising and evaluation:
The IS 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:
The heart of the IS doctoral program is immersion in a community of researchers. Every student has a formal research apprenticeship with one or more faculty members each year. Every student participates in formal and informal research seminars each week with departmental faculty and visitors. Every student presents research in progress and works toward producing publishable papers, usually with a faculty co-author. Students learn to be researchers by doing research. They learn to be research colleagues by working with others and critiquing their research.
Placement record:
From 1998 to 2004 our graduates have accepted faculty positions at such schools as University of California at Berkeley, Hong Kong University of Science & Technology, McGill University, University of Maryland, University of Rochester, University of Texas at Austin, and The Wharton School.
Details are provided in the Stern School Bulletin. For admissions and details about the Stern School's Doctoral Program, click here: Stern Doctoral Office.
Arun Sundararajan
Coordinator, Information Systems Doctoral Program
IOMS Department
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PROGRAM REQUIREMENTSAll students take a common core of courses during their first year which provides an overview of the major research areas in IS and the fundamental knowledge necessary for specialized course work in the second year. In the second year students take specialized course work in one of three concentrations: technical perspectives, economic perspectives, behavioral/managerial perspectives.
YEAR ONE
Mandatory Breadth Courses (3)
Probability & Statistics (2)
- Each student is required to take 1 Probability and 1 Statistics course, from a list of approved courses.
IS Dept Core Research Courses (3)
- Technical Research in IS
- Economics Research in IS
- Behavioral/Managerial Research in IS
Research Apprenticeship
YEAR TWO - Each student chooses one concentration track
Technical Track:
- A programming requirement, may be satisfied in a variety of ways
- Honors Analysis of Algorithms
- Artificial Intelligence
- Optimization
- Database Systems
- Machine Learning/Data Mining
- Other courses based on student's interest
- Research apprenticeship
Economics Track:
- Mathematical Methods for Economists
- Econometrics
- Game Theory
- Students will take elective courses in the Stern Economics Department, at the Graduate School of Arts and Sciences, in Operations
- Management, Statistics, or at Courant as specified in consultation with the advisor
- Research apprenticeship
Behavioral/Managerial Track:
- Any two of the following four Stern Management Department Courses
- Organizational Behavior
- Managerial Cognition
- Organizational Theory
- Strategy
- At least one research methods or statistics course beyond the first year courses.
- Students may take doctoral level courses in Psychology, Sociology, Political Science, Public Policy, History, Education, or Law.
- Electives in the area of interest
- Research Apprenticeship
YEAR THREE
- Thesis research
- Research apprenticeship
- Teaching apprenticeship (in year 3 or 4)
- Teaching one course (in year 3 or 4)
YEAR FOUR
- Thesis research
- Research apprenticeship
- Teaching apprenticeship (in year 3 or 4)
- Teaching one course (in year 3 or 4)
YEAR FIVE
- Thesis research
- Research apprenticeship
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DOCTORAL COURSES
B20.3345 IS Economics Research Seminar B20.3382 IS Behavioral Research Seminar B20.3383 IS Technical Research Seminar B20.3386 Technical Foundations of IS B20.3355 Behavioral Research Methods
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IMPORTANT WEBSITES FOR DOCTORAL PROGRAM
Important web sites for information on the Information Systems doctoral degree program at the Stern School of Business:
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DOWNLOAD OR REQUEST A PH.D. PROGRAM APPLICATION
To request and/or download an admissions packet, go 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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