Information Analytics Management stream
2025 QS Business Master Ranking (Business Analytics): No. 2 in HK, No. 4 in Asia, No. 51 worldwide.
 
The MSc in Business and Data Analytics (Information Analytics Management stream) program aims to cultivate students with professional knowledge of business data analytics through active learning of the theories, methods, supporting techniques across a wide range of knowledge areas such as big data management, data visualization, data mining, applied statistics, social media analytics, and analytics management.

Program Aims and Objectives

The MSc in Business and Data Analytics (Information Analytics Management stream) program aims to cultivate students with professional knowledge of business data analytics through active learning of the theories, methods, supporting techniques across a wide range of knowledge areas such as big data management, data visualization, data mining, applied statistics, social media analytics, and analytics management.

Program Intended Learning Outcomes

Upon successful completion of this Program, students should be able to:

1.Describe the theories, methods, and techniques for the management and analysis of complex data structures arising from typical business applications.

2.Apply the data analytics theories, methods and techniques to design and build data-driven solutions to enhance business decision-making.

3.Demonstrate an understanding of and competence in the key concepts and techniques in different areas of statistics.

4.Apply acquired quantitative knowledge to solve business problems and to make decisions.

5.Use appropriate statistical or analytics software to investigate and solve practical problems.

1. General Entrance Requirements

Applicants must hold a bachelor's degree or an equivalent undergraduate qualification from a recognized university.

 

2. English Proficiency Requirements

Applicants who have graduated from a non-English medium university must meet the following minimum English proficiency standards:

  • CET-6: Score of 425 or Pass;
  • OR TOEFL: 550 (PBT) / 79 (iBT). For TOEFL scores, applicants should arrange for ETS to send the score report directly to City University of Hong Kong (Dongguan). The TOEFL institution code for City University of Hong Kong (Dongguan) is D693.
  • OR IELTS (Academic): Overall Band Score of 6.0;
  • OR other equivalent English test results.

* Only scores from single test attempts are accepted, and home-based tests are not eligible. Applicants whose first language is English or who have obtained a bachelor's degree (or equivalent qualification) from an institution where the medium of instruction is English are exempt from providing an English test score.

Note: 

  • TOEFL and IELTS scores are valid for two years. 
  • Applicants must submit their English test scores, which are only considered valid if obtained within two years prior to the application start date.
  • Programs may set higher English proficiency requirements or accept alternative qualifications, depending on their specific academic requirements.

 

3. Academic Duration and Tuition Fees

Tuition Fees:

Business and Data Analytics: RMB 150,000 per student per academic year

Duration of Study:  2 years, with the option to apply for early graduation if graduation requirements are met; maximum study period is 3 years.
Mode of Study: Full-time
Application Fee: Free
Accommodation Fees:

Double Room: 1,200 RMB per student per academic year (10 months)

Single Room: 3,000 RMB per student per academic year (10 months)

Additional Information:

1. The above fee structure applies to both Chinese and international students.

2. After receiving the admission offer, students are required to pay an initial tuition deposit of RMB 30,000 within four weeks to confirm their acceptance. This deposit will be credited toward the first academic year's tuition.

Application opens Until Jul 31, 2026
Admission offers issued # Rolling Basis
On-campus registration and New Student Orientation Week From August 25th to August 30th, 2026
Program commencement August 31, 2026

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