Ph.D. in Technology Management

PhD in Technology Management is a degree housed in our department with emphasis on various aspects of technology management. Students conduct research by applying a variety of methods and concepts to generate or expand knowledge in the technology management field. It is a more research-oriented degree with the students starting to develop their research areas early in their program. The admission decisions and the program rules and regulations are made by our department. When a student applies for admission to the PhD program in Technology Management, our faculty evaluates and makes the admit/reject recommendation directly.

Curriculum for Ph.D. in Technology Management:

In addition to the University's general degree requirements, the Ph.D. program in Engineering and Technology Management consists of the following steps:

  • Successful completion of the equivalent of at least 60 credits of coursework beyond the Bachelors degree distributed as below. All courses are four credits each. Students may choose additional courses in other academic units throughout the university, approved by their advisor, if such courses are supportive of the proposed research areas.
    • CORE: At least 20 credits from the following courses, with at least one course from each group. Additional courses taken from this group beyond the minimum required 20 credit hours can be counted toward the fulfillment of the specialization course requirements described below.
      • Group-1: Management of Engineering and Technology. Innovation Management
      • Group-2: Project Management, Technology Marketing
      • Group-3: Strategic Management of Technology, Competitive Strategies in Technology Management
      • Group-4: Technology Assessment and Acquisition, Technology Transfer
    • SPECIALIZATION: At least 20 credits from courses supporting the proposed research area:
      • Engineering and Technology Management courses (ETM prefix)
        • Communications and Teambuilding>
        • Strategic Planning in Engineering Management
        • Manufacturing Systems Engineering
        • Manufacturing Systems Management
        • Quality Management
        • Technology Forecasting
        • Managing Intellectual Capital 
        • Ethical Issues in Technology Management 
        • Technological Entrepreneurship 
        • Project Management Framework 
        • Project Management Tools 
        • R&D Management 
        • New Product Management 
        • Managing New Technology Introduction 
        • Human Side of Technology Management
      • Courses from other PSU departments:
        • MGMT 544: Technology Management
        • MKTG 548: New Products Management
        • MIM 524: Global Sourcing and Supply
        • PSY 578: Leadership and Group Effectiveness
        • PSY 615: Advanced Industrial/Organizational Psychology
        • PA 545: Organization Development
        • PA 555: Program Evaluation and Management
        • USP 578/678: Impact Assessment
        • PA 598: Value-based Management
        • SOC 557: Complex Organizations
        • CS 686: Introduction to Database Management
        • EC 511: Cultural Economics
        • EC 531: Urban Economics
        • EC 532: Environmental Economics
    • METHODOLOGY:At least 20 credits from the following courses:
      • Engineering and Technology Management courses (EMGT prefix)
        • Decision Making in Engineering & Technology Management
        • Engineering Economic Analysis
        • Productivity Analysis
        • Operations Research
        • Manufacturing Systems Simulation
        • Research Methods for Engineering Management
        • Technology Forecasting
        • Decision Support Systems: Data Warehousing
        • Project Management Tools
        • Probability/Statistics for Technology Management
        • Strategic Intelligence
      • Courses from other PSU departments:
        • ISQA 572: Models for Quality Control
        • PSY 621: Univariate Quantitative Methods
        • PSY 622: Multiple Regression & Multivariate Quant Methods
        • PSY 623: Factor Analysis & Covariance Structure Modeling
        • PSY 593: Decision Making Laboratory
        • MTH 667, 668, 669: Stochastic Processes and Probability Theory-I, II, III
        • MTH 692: Research Methodology and Design
        • STAT 451, 452: Applied Statistics for Engineers and Scientists-I, II
        • STAT 564: Applied Regression Analysis
        • SYSC 514: System Dynamics
        • SYSC 625: Agent Based Simulation
        • SYSC 627: Discrete System Simulation
        • SYSC 629: Business Process Modeling and Simulation
        • USP 655: Structural Equation Modeling
        • USP 656: Multilevel Regression
        • SOC 597: Applied Survey Research
        • EC 585: Cost-Benefit Analysis
        • EC 586: Project Evaluation
        • EC 570: Econometrics
  • 12 credits of independent study supervised by ETM faculty culminating in the preparation of a research paper evaluated by the ETM faculty as being at the level of acceptable papers for a national or international conference on Engineering and Technology Management;
  • Successful completion of a comprehensive examination to demonstrate mastery of the Engineering and Technology Management field, including the defense of the research paper described above;
  • Selection of the dissertation advisor from the ETM faculty and formation of the Ph.D. committee including one member appointed by the Dean of Graduate Studies;
  • Development of the dissertation proposal and its approval by the Ph.D. committee resulting in the advancement to Ph.D. candidacy;
  • Registering for at least 27 dissertation credits while conducting the research after the advancement to candidacy;
  • Preparation of at least one publishable paper for a research journal or recognized refereed technical conference proceedings based upon the dissertation research;
  • Defense of the dissertation. Specialization areas of research related to emerging technologies, decision analysis, data envelopment analysis, technology evaluation, technology forecasting, technology road-mapping, technology transfer, technology diffusion, knowledge management, new product development, multi-criteria decision making, quantitative benchmarking, productivity management, project management, manufacturing management, technology marketing, resource optimization, strategic management of technology, and human side of technology management are available.