My.Paragon.U
Faculty of Information and Computer Technologies

MSc in Management of Information Systems

MSc in Management of Information Systems

This Master of Science in Management of Information Systems is designed to prepare students for challenging careers involving the design, analysis, implementation and operation of computer-based information systems. MIS involves the use of technologies in organizations and the integration of computer skills with the functional areas of management. MIS professionals are the “communication bridge” between business needs and technology. Graduates of the MIS program can pursue careers as Business Analysts, IT Consultants, Systems Analysts, IT Development Project Leaders, Database Administrators, Business Intelligence Analysts, Data Analysts, Web Developers and Information Systems Managers.

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Program Objectives

MSc in MIS program aims to:

  • Equip learners with the ability to support business processes and the strategic needs of organizations, particularly in the MIS sector.
  • Provide in-depth knowledge of financial technologies and their applications in business environments.
  • Enable the analysis and visualization of data to drive informed decision-making in BI contexts.
  • Foster skills in developing and implementing Business Intelligence solutions that enhance organizational performance.
  • Generate vision and strategic direction for the creation of innovative information systems projects that address the unique challenges of the different industries.
  • Construct plans to ensure that regulations, compliance, and security issues, particularly in the context of financial data, are effectively managed.
  • Develop effective IT project plans that meet professional standards while emphasizing the integration of technology.

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
Data Science and Data-Driven Decision-Making 3
Elective course 3
Elective course 3

Semester II

Course Title Credits
Proposal Defense 2
Data Science with Open Source Tools 3
Elective course 3
Elective course 3

Semester III

Course Title Credits
Progress Report 2
Conference Paper and Presentation 6
Elective course 3
Elective course 3

Semester IV

Course Title Credits
Master Thesis 12

Core Courses

– Research Methods
– Data Science and Data-Driven Decision-Making
– Data Science with Open Source Tools

Departmental Electives

– Data Design and Visualization
– Writing for Graduate Studies
– Strategic Leadership
– Professional Communication
– Advanced Artificial Intelligence
– Enterprise Software Architecture and Design
– Advanced Algorithm Design and Implementation
– Enterprise and Cloud Computing
– Data Mining and Knowledge Management
– Machine Learning for Data Analysis

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