Program Curriculum Overview

The doctoral program at the School of Business at Stevens defines itself at the intersection of three research domains: information systems, innovation and technology management, and social computing. These three research domains are strongly represented by Stevens faculty and provide different perspectives on the management of technology.

The design of the Ph.D. program is based on the assumption that novel research ideas often occur at the intersection of different knowledge domains. The unique combination of these three research domains and their integrated discussion will lead to creative and innovative research questions within and across these domains. The combination will also encourage the development of the interdisciplinary skill sets necessary to conduct innovative research. The majority of Ph.D. programs focus on theory and analytical skills. The integration of information systems, innovation and technology management, and social computing complements this fundamental skill set with the skills necessary for creating and applying this knowledge. 

Students will chose one of the three research domains as their research focus and they will study aspects the other two domains in the mandatory courses of the program. Because of the specific integration of the knowledge domains, the program offers a truly interdisciplinary experience. Every course, no matter of its primary research domain, will include at least one topic related to the other research domains.

Prerequisites

Students who are interested in joining the program must fulfill the following prerequisites:

  • A master's in Business or MIS, or a related field.
  • A basic knowledge of statistics.
  • Undergraduate mathematics, including the equivalent of two semesters calculus and one semester linear algebra.

Program Learning Objectives

  • Prepare the students for creative and innovative research.
  • Enable students to pursue an academic career.
  • Develop skill sets that are also competitive for a successful research or industry career.

Overview of Required Ph.D. Courses

All courses and seminars are taught exclusively to Ph.D. students.

Number

Title

Credits

MGT 718

Multivariate Analysis

3 cr.

MGT 719

Quantitative Research Methods

3 cr.

MGT 735

Economic Foundations of Management Research Seminar

3 cr.

MGT 721

Qualitative Research Methods & Theory Building

3 cr.

MGT 753

Management  Theories Research Seminar

3 cr.

MGT 711

Entrepreneurship & Innovation Management Research

3 cr.

MIS 722

Business Process Management & Innovation Research Seminar

3 cr.

MGT 734

Design Science Research Seminar

3 cr.

MGT 786

Social Network Analysis Research Seminar

3 cr.

MGT 787

Statistical Learning and Analytics Research Seminar

3 cr.

MGT 769

PhD. Research Colloquium Series

3 cr.

 

Special Method Workshops (SEM, Conjoint Measurement etc.)

 

 

Dissertation/ Research

18

 

Total

54

 

Perpetual Course Schedule:

Count

Number

Title

Credits

Year A

 

 

 

Fall

 

 

 

 

MGT 718

Multivariate Analysis

3 cr.

 

MGT 711

Entrepreneurship & Innovation Management Research

3 cr.

 

MGT 753

Management Theories Research Seminar

3 cr.

 

 

 

 

Spring

 

 

 

 

MGT 769

Ph.D. Research Colloquium Series

3 cr.

 

MGT 721

Qualitative Research Methods & Theory Building

3 cr.

 

MGT 787

Statistical Learning and Analytics Research Seminar

3 cr.

 

 

 

 

Year B

 

 

 

Fall

 

 

 

 

MGT 786

Social Network Analysis Research Seminar

3 cr.

 

MGT 734

Design Science Research Seminar

3 cr.

 

MGT 719

Quantitative Research Methods & Design and Analysis of Experiments

3 cr.

 

 

 

 

Spring

 

 

 

 

MGT 722

Business Process Management & Innovation

3 cr.

 

MGT 736

Economic Foundations of Management Research Seminar

3 cr.

 

MGT 769

Ph.D. Research Colloquium Series

3 cr.

 

 

 

 

 

 

Special Method Workshops (SEM, Conjoint Measurement etc.)

 

 

 

Dissertation/ Research

18

 

 

Total

54