Programme Aims and Objectives

The Management of Intelligent Systems Stream aims to train students in the core domains of business and cutting-edge information systems that underpin the contemporary information society, so that graduates can excel in careers with professional positions that require both advanced business knowledge and IT-enabled problem solving skills.

The MIS Stream is offered to applicants with a non-IT background and focuses on developing their competence in evaluating cutting-edge IT, coordinating IT-enabled business initiatives, and managing the operation of business information systems, so as to meet the business needs of organizations. With the growing trend towards Artificial Intelligence, such information systems are increasingly imbued with greater intelligence.

 

Entrance Requirements

Applicants must satisfy the following to be eligible for admission:

  • hold a recognized Bachelor's degree in any subjects, preferably not in Information Systems or Computer Science related discipline, from one of the tertiary education institutions in Hong Kong funded by the University Grant Committee (UGC), or equivalent

Applicants whose entrance qualification is obtained from an institution where the medium of instruction is NOT English should also fulfill the following minimum English proficiency requirement:

  • 79 (Internet-based test) in the Test of English as a Foreign Language (TOEFL)@#; or
  • an overall band score of 6.5 in International English Language Testing System (IELTS)@; or
  • a score 450 in the new College English Test (CET6) of Chinese mainland; or
  • other equivalent qualifications.

@TOEFL and IELTS scores are considered valid for two years. Applicants are required to provide their English test results obtained within the two years preceding the commencement of the University's application period. 

# Applicants are required to arrange with the Educational Testing Service (ETS) to send their TOEFL results directly to the University. The TOEFL institution code for CityU is 3401.

Fellowships Scheme

Fellowship awards are available for local students admitted to this programme under the Fellowships Scheme supported by the HKSAR Government. This programme in the priority area of “STEM” is one of the targeted programmes listed under the Fellowships Scheme with 3 fellowship awards (shared with the Financial and Intelligent Technology Stream). Local students admitted to the programme in full-time, part-time or combined study mode may be invited to submit applications for the fellowships. 

Course Description

Core Courses (15 credits within the group)

  • Analytical Programming with Python
  • Database Management Systems
  • Foundations of Information and Electronic Business Systems
  • JAVA Programming for Business Applications
  • Project Management and Quality Assurance
  • System Analysis and Design

Electives (15 credits)

  • Data Visualization
  • Information Systems Infrastructure and Security Management
  • Information Systems Planning and Strategy
  • Information Technology Based Business Transformation
  • Management Support and Business Intelligence Systems
  • Blockchain Technology and Business Applications
  • Business Data Analytics
  • Business Practice Internship
  • Corporate Finance
  • eBusiness System Integration
  • Financial and Management Accounting
  • Human-Computer Interaction and Multimedia
  • Information Systems Project
  • Information Technology Leadership Forum
  • Innovation and Technology Entrepreneurship
  • Students may also take two elective courses as approved by the MSBIS Programme Leader, one offered by the Information Systems department, one offered by any departments within the College of Business including Accountancy, Economics and Finance, Information Systems, Management, Management Sciences, and Marketing.

Bonus Features

Outstanding local applicants will be offered with a scholarship.

Admission Code P05A
MSc Business Information Systems (Management of Intelligent Systems Stream)
Mode of study
Combined
tuition fee
Year of entry
2024
Mode of funding
Non-government-funded
Intake target
70
Credit requirement
30
Class schedule
Weekday (daytime and evening) and Saturday afternoon
Normal study period
Full-time: 1 year; Part-time: 2 years
Max study period
Full-time: 2.5 years;
Part-time/Combined mode: 5 years
Mode of processing
Applications are processed on a rolling basis. Review of applications will start before the deadline and continue until all places are filled. Early applications are therefore strongly encouraged.
Level of study
Master's (Taught Postgraduate)
Website
Programme Leader
Prof Choon Ling SIA
General Enquiries
+852 3442 8521