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Faculty of Information and Computer Technologies

PhD in Management of Information Systems

PhD in Management of Information Systems

A Doctor of Philosophy in Management of Information Systems is a degree that prepares students to conduct original research in the field of information systems and technology management. It typically involves coursework, writing research papers, and a dissertation based on independent research. A program involves courses in core and elective areas of management of information systems, such as business intelligence, enterprise systems, and systems integration.

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Program Objectives

PhD in MIS program aims to:

  • Equip learners with the ability to conduct original research that advances knowledge in business intelligence and its applications within organizations.
  • Provide a strong foundation in the design and implementation of enterprise systems, focusing on their integration and impact on business processes.
  • Enable students to analyze and optimize organizational workflows through research-driven insights into systems integration and automation.
  • Foster the development of innovative applications that leverage AI and data analytics to enhance decision-making in business intelligence.
  • Generate the vision and strategic direction for creating comprehensive information systems solutions that align with organizational goals.
  • Develop a critical understanding of ethical considerations and compliance issues related to data usage and information systems management.
  • Cultivate the ability to lead and manage research projects that explore the interplay between enterprise systems and business intelligence, ensuring they adhere to professional standards and contribute to the field.

Flexible schedule to accommodate working students

International academic staff and learning environment

Use of blended learning
(in-class and online)

Sample Curriculum

Semester I

Course Title Credits
Research Methods 3
Systems analysis and design 3
Elective course 3

Semester II

Course Title Credits
Proposal Defense 3
Enterprise architecture and systems integration 3
Research Ethics 1
Elective course 3

Semester III

Conference Paper and Presentation I 6
Elective course 3

Semester IV

Conference Paper and Presentation II 6
Elective course 3

Semester V

Course Title Credits
Research Paper 6

Semester VI

Course Title Credits
Thesis Defense 12

Core Courses

– Research Methodology
– Systems analysis and design
– Enterprise architecture and systems integration
– Research Ethics
– Conference Paper and Publications I
– Conference Paper and Publications II
– Research Paper

Departmental Electives

– Data Design and Visualization
– Enterprise and Cloud Computing
– Data Mining and Knowledge Management
– Machine Learning for Data Analysis
– Data Science and Data-Driven Decision-Making
– Data Science with Open Source Tools
– Enterprise Software Architecture and Design
– Data Mining and Knowledge Management
– Advanced Algorithms and Data Structures
– Artificial Intelligence
– Emerging Topics in MIS I
– Emerging Topics in MIS II

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