doctor of management in information technology curriculum

DM in IT  Curriculum

The curriculum for the Doctor of Management in IT consists of 36 hours of coursework (four core Information Systems courses, four Management courses, and four Research Methods courses) plus an additional 24 credit hours of Dissertation research work.   

 

Core Information Systems Courses

  • MIS8013 Enterprise IT Lifecycle Processes  - The goal of this course is to provide a comprehensive perspective of Information Technology life cycle processes that are needed in organizations to support the business process improvement, re-engineering and redesign, and the skills to introduce and manage such processes. The course is concerned with the processes by which IT resources are acquired, maintained, supported, managed and aligned with the business processes of the enterprise. The context of a new business initiative calling for IT enablement is analyzed using a "best practices' technique and tools. Frameworks, standards and reference models for structuring the IT process architecture, within the context of business value chains, are studied. Approaches to business process modeling, business process improvement, re-engineering and redesign, and full life-cycle support for end-to-end processes are examined. Individual and team project assignments have been extended to address situations in real world environments.
  • MIS8023 Global Enterprise Data Management  - This course studies in depth how critical enterprise wide business issues are dealt with through the integration of customer data and the management of data quality assessment. Data management is an important part of IT management in enterprises, and especially the global enterprise spanning across country boundaries and continents. This is evident in the case of international mergers or acquisitions that are seen today. This course discusses the processes that affect the reliability and quality of data. It covers strategies and approaches of bringing people, processes, and technology together through data management, data integration, and data governance. It addresses methods of creating and managing master data, and processes for evaluating the alternative methods and solutions to determine the approach that best addresses the organization's needs. The course highlights the specific technology frameworks and tactics for the success of enterprise data management.
  • MIS8043 Global Enterprise Architecture - The course in enterprise architecture (EA) is concerned with analyzing and modeling the architecture of the extended enterprise, where collaboration among stakeholders within and outside the enterprise is a key success factor. The EA is seen as a comprehensive model of the assets of the enterprise, i.e. a master scheme, which acts as an integrator between the viewpoints of business planning, business processes and operations, information systems, and supporting technology infrastructure. Meta architecture frameworks are examined and used to analyze the requirements of views of architecture viewpoints in the architecture stage of an architecture initiative. The course is informed by a number of architecture frameworks and approaches used in practice. The prevailing architecture approaches followed A range of computer-based tools are used to develop and document the architecture models. Students are informed by international standards, reflecting best practices. Team project deliverables are stored in a digital repository that provides read-only access to future classes.
  • MIS8053 Advanced Topics Course - An advanced treatment is given to the analysis and design of software systems, with special emphasis on concepts and techniques for mastering complexity of systems.  Framework, design patterns, and notations are covered to develop object-oriented solutions.  Skills are developed to model solutions in the generic application domains.

 

Management Courses 

  • MGT8013 Leading the Global Enterprise - In order to develop leaders who can effectively lead global operations, it is important to understand what makes leaders effective across cultures. This course exposes students to a variety of theories and cutting edge practices for effectively leading in diverse and dynamic global organizations. The course examines the theoretical literature of leadership from historic contributions to contemporary and emerging research in this vast and expanding field. Students will have opportunities to assess and develop their personal leadership skills as well as learn multiple approaches aimed at developing the leadership skills in others. The course includes a variety of application-based techniques that reinforce successful leadership and management practices used in today's leading organizations. 
  • MGT8033 Globalization and the World Economy - This course focuses on the external challenges and opportunities facing leaders in the 21st century world economy. The course identifies, analyzes, and assesses the implications of the profound changes occurring in demographic, economic, political, legal, social, and cultural institutions, structures and systems that are defining and shaping the future economy. Topics include history of global trade; key driving forces, benefits, and costs of globalization; global capital and consumer markets; trade policy; and economic development. 
  • MGT8073 Organization Development, Transformation, & Change - This course focuses on development and change of organizations in a global environment. The course examines the theories, research, and practice of planned and unplanned change, the phases of organization development, and the applicability and effectiveness of techniques for improving organization performance. Topics include: turnaround management in response to economic uncertainty and crisis; critical drivers of successful change for individuals and organizations; the distinction between transitional and transformational change; sustainability of the business enterprise; change from mergers and acquisitions; organization capacity and capabilities; positive states of organizing; and the application of systems thinking and complexity theory to organizational change.  
  • MGT8063 Management of Technology and Innovation - This course focuses on the management of technology and innovation in competitive world markets. The course explores the theory, research, and practice of how organizations adapt to innovations and technological change; manage investments in research and development; assess, and manage risks under conditions of rapid technical change; create, capture, market, and sustain value from emerging technologies and innovations; manage research alliances and partnerships; and integrate changes to technology, markets, and organizations. 

 

Research Methods Courses

  • RES7013 Overview of Doctoral Research Methodology - This course is the first course in the Research Track. The course studies the research process through the phases of the dissertation research project: research planning, literature review, research conceptualization, and research validation. Topics include but not limited to doctoral research norms for the Theory and Practice paradigm; research taxonomies; critical thinking in research; role of systems thinking in research; research strategies; research techniques for the literature review; proposal formulation; representation schemes for research conceptualization; approaches to research validation (evidence collection, demonstration of concept, experimentation, case studies, interviews and surveys); documenting research findings; and publishing of the dissertation. The course references other courses in the research track and the dissertation phase of the curriculum. 
  • RES7023 Research Design - Qualitative Methods - This course covers the qualitative research design. Topics include how to choose and craft a qualitative research statement and questions attending to the larger pragmatic and theoretical contexts that shape them; theoretical orientations, sampling, assumptions, qualitative data, and practical applications of qualitative research; an overview of action research, phenomenology, ethno methodology, grounded theory, narrative analysis, case studies, thematic and content analysis; and qualitative research software. Students will learn how to conceptualize the phenomenon being researched in terms of a conceptual framework and accompanying models. They will also learn how to conceptualize the solution, verify the framework and models, and validate the research proposition(s). Students will create a qualitative-based research proposal and have the opportunity to do qualitative interviewing, data collection, and analysis. Students will be introduced to mixed-methods research on how to transform qualitative findings into a quantitative study. 
  • RES7033 Research Design - Quantitative Methods - This course covers the quantitative research strategy; data collection and processing of collected data by quantitative means; methods, techniques and tools to quantify business systems and processes; application of statistical techniques, business process management, and the use of statistical packages. Techniques include but not limited to correlation; partial correlations; analysis of variance and covariance; linear regression; significance in correlation and regression; assumptions, tests, and corrections in regression models; sample size and power analysis. The students learn how to obtain quantifiable insight about business systems, quality assurance, performance and business decision processes. 
  • RES7043 Advanced Topics in Research Methods  - This course is designed to cover a variety of themes to help students explore and prepare research methodologies for their research agendas.  Themes include: Simulation and Modeling, Action Reseach, Participant-observer Research, Systems Theory and Application, Correlation and Regression Analysis, Research Design and Measurement, and Management Science Methods. 

Dissertation Track  (24 Credit Hours)

    The doctoral research process is performed as 24 dissertation credits. While the research process is generic there are processes specific to each of the LTU doctoral programs. A doctoral candidate should select a dissertation supervisor who will also serve a dissertation chair. The supervisor is responsible for guiding the dissertation research. The doctoral candidate must also select the members of the dissertation committee, who will provide complementary support for the research project. The role of members of the dissertation committee is outlined in the Doctoral Research Prospectus. 

     

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