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.

Program Objectives

MSc in MIS program aims to:

  • Equip learners with the ability to support a business process and the strategic needs of an organization
  • Equip learners with the ability to understand and apply the concept of enterprise data management
  • Equip learners with the ability to Analyse business processes for redesign, improvement and potential automation purposes
  • Equip learners with the ability to generate the vision, direction and strategic purpose for the creation of an information systems project
  • Equip learners with the ability to construct a plan to verify that the regulations, compli ance and security issues within an organization are addressed
  • Equip learners with the ability to explain and develop an effective IT project plan meeting professional standards

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
Writing for Graduate Studies 3
Strategic Leadership 3
Research Methods 3
Research Seminar 2

Semester II

Course Title Credits
Data Science & Data-Driven Decision-Making 3
Professional Communication 3
Elective course 3
Proposal Defense 2

Semester III

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

Semester IV

Course Title Credits
Master Thesis 12

Core Courses

– Writing for Graduate Studies
– Strategic Leadership
– Research Methods
– Data Science and Data-Driven Decision-Making
– Professional Communication

Departmental Electives

– Data Science with Open Source Tools
– Data Design and Visualization
– Machine Learning for Data Analysis