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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
New York University Leonard N. Stern School of Business 33 courses 36-54 total credits
Information Systems (IS) is a multidisciplinary field that is growing in importance as the information technology revolution transforms the scale of data, the nature of products, the organization of work, and the way people interact. The Stern IS department has played an active leadership role in defining the fields of data science and business analytics, engaging in cross-disciplinary scholarship in computer science, economics, machine learning, marketing, management science and urban science. PhD students at Stern have the advantage of working with IS faculty who also maintain close research ties with the digital, banking, advertising and media industries, which gives our students access to unique βbig dataβ for research as well as opportunities for experiential learning. All applicants to the NYU Stern School of Business PhD Program are required to submit a complete application for admission. A complete application includes the online application, statement of purpose, optional essay, educational history and resume or CV, letters of recommendation, test scores, academic transcripts, and an application fee. See How to Apply for admission requirements and instructions specific to this program.
| Economics | credits |
| Technical | credits |
| Behavioral | credits |
Major Requirements
Required Practica
Required Courses
| Code | Course Title | Credits |
|---|---|---|
| APSTA-GE 2012 | Causal Inference | 3 |
| DS-GA 1011 | Fundamentals of Natural Language Processing | 3 |
| ECON-GB 3360 | Topics in Economics: Industrial Organization | 3 |
Recommended Courses
| Code | Course Title | Credits |
|---|---|---|
| MKTG-GB 4392 | Quantitative Applications in Marketing II | 3 |
| MKTG-GB 4394 | Advanced Empirical Methods | 3 |
Required Courses
| Code | Course Title | Credits |
|---|---|---|
| APSTA-GE 2012 | Causal Inference | 3 |
| CSCI-GA 3520 | Honors Analysis of Algorithms | 4 |
| DS-GA 1005 | Inference and Representation | 3 |
| DS-GA 1011 | Fundamentals of Natural Language Processing | 3 |
Recommended Courses
Recommended Courses
STAT-GB 1304
| Code | Course Title | Credits |
|---|---|---|
| STAT-GB 3302 | Statistical Inference and Regression Analysis | 3 |
| Total Recommended Courses | 3 credits | |
Required Courses
| Code | Course Title | Credits |
|---|---|---|
| MGMT-GB 3191 | Profession Seminar | 1.5 |
| MGMT-GB 3381 | Adv Resrch in Orgnz Behav | 3 |
| MGMT-GB 3387 | Organization Theory | 3 |
| MGMT-GB 3191 | Profession Seminar | 1.5 |
Recommended Courses
| Code | Course Title | Credits |
|---|---|---|
| MGMT-GB 4301 | Strategy | 3 |
Recommended Courses
PHDC-GR 8405
| Code | Course Title | Credits |
|---|---|---|
| SOC-GA 2414 | Sociology of Culture | 4 |
| Total Recommended Courses | 3 credits | |
Click a course code or title to read the full course description.
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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
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