Program Curriculum Overview

The Howe School of Technology Management (HSTM) Ph.D. in Technology Management program defines itself at the intersection of three research domains: Information Systems (IS), Innovation & Technology Management (TIM) and Social Computing (SocComp). These three research domains are strongly represented by the faculty of the Howe School 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 IS, TIM and SocComp complements this fundamental skill set with the skills necessary for creating and applying this knowledge. Our students are challenged to create new technologies for analyzing relevant research questions related to important problems we face today.

 Students of the program 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. This is achieved by the selection of courses and by the syllabus of each individual course. Every course, no matter of its primary research domain, will include at least one topic related to the other research domains (Please see Research Domain Integration below).

Prerequisites:

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

  • Students must have Masters in Business or MIS or related field.
  • Students must have a basic knowledge of statistics comparable to MGT620 Statistical Models.
  • Students must have undergraduate mathematics including the equivalent of two semesters calculus and one semester linear algebra or they have to take MGT752.

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.

Please click here to download curriculum