Programme Overview

The Master of Management Analytics Programme (MMA) offered by the Faculty of Business at City University of Macau is a postgraduate programme distinguished by its deep integration of data analytics and managerial decision-making. The programme is designed to cultivate high-level professionals who wish to cultivate their competency in effective combination of various analytical insights, business judgment, and leadership capabilities in today’s data-driven business environment.

The programme has a standard duration of two years and features a rigorous yet flexible curriculum structure comprising:

• 9 compulsory modules

• 2 professional elective modules

• Project Report

The curriculum covers key areas including management analytics, statistical modelling, applications of artificial intelligence, data-driven decision-making, business strategy analysis, innovation, and ethics, enabling students to develop an integrated, decision-oriented skill set grounded in data.

This programme is particularly suitable for:

• Individuals seeking to prepare for careers in high-demand fields such as data science, business analytics, management consulting, marketing analytics, financial analytics, operations research, supply chain management, and strategy consulting;

• Working professionals who aspire to leverage data and analytical capabilities to drive organizational decision-making and innovation.

Study Plan

• Year 1
  Completion of 9 compulsory modules and 2 elective modules

• Year 2 (Semester 2)

  Completion of the Master’s Project Report, including a successful oral defense, which is required for graduation

Programme Goals

1. Foundational Knowledge in Management Analytics: Acquire a comprehensive understanding of the core concepts, methodologies, and tools used in management analytics. Gain expertise in data collection, preparation, analysis, and visualization, enabling them to extract meaningful insights from complex business datasets.

2. Business Acumen and Strategic Problem-Solving: Develop a deep understanding of business principles and the ability to apply analytical techniques to solve real-world business problems. Learn to frame business challenges from a data-driven perspective, identify key performance indicators, and develop effective solutions that align with organizational objectives.

3. Advanced Data Analysis and Predictive Modeling: Master advanced data analysis techniques, including statistical modeling, machine learning, and predictive analytics. Gain hands-on experience in using industry-standard software tools to build predictive models and extract actionable insights from data.

4. Communication and Leadership in Data-Driven Organizations: Develop effective communication and leadership skills to effectively convey data-driven insights to stakeholders at all levels. Learn to translate complex analytical findings into clear and concise presentations, reports, and recommendations that drive informed decision-making.

5. Ethical and Societal Considerations in Data Analytics: Explore the ethical and societal implications of data analytics and develop a strong understanding of responsible data practices. Learn to balance the benefits of data-driven decision-making with the need to protect privacy, ensure fairness, and mitigate potential biases.

6. Innovation and Data-Driven Entrepreneurship: Gain insights into the role of data analytics in driving innovation and entrepreneurship. Learn how to identify and evaluate data-driven business opportunities, develop data-driven strategies, and leverage data to create new products, services, and business models.

7. Global and Cross-Cultural Perspectives in Management Analytics: Develop a global perspective on management analytics, recognizing the challenges and opportunities presented by the increasingly interconnected business world. Gain an understanding of cross-cultural considerations in data collection, analysis, and communication.

8. Real-World Application and Capstone Experience: Culminate with a capstone Project Report that provides students with the opportunity to apply their knowledge and skills to solve a real-world business problem. Work with industry partners or undertake independent research to demonstrate their ability to integrate data analytics into strategic decision-making.

Learning Approach

The MMA programme employs a multifaceted approach to learning, encompassing a blend of theoretical grounding, practical application, and experiential immersion.

• Lectures: Lectures provide a foundation in core concepts, methodologies, and tools relevant to management analytics. Students gain exposure to theoretical frameworks, real-world case studies, and industry-specific applications.

• Tutorials and Workshops: These interactive  sessions offer opportunities for students to solidify their understanding of key concepts through hands-on exercises, group discussions, and problem-solving activities. Students apply theoretical knowledge to practical scenarios, developing their ability to analyze data, extract insights, and communicate findings effectively.

• Independent Study: Students engage in self-directed learning through assigned readings, research articles, and relevant iterature. This independent exploration deepens their understanding of specific topics and fosters a growth mindset that encourages continuous learning.

• Experiential Learning: The MMA programme bridges the gap between theory and practice through industry projects, simulations, case studies, and field visits. These experiential opportunities expose students to real-world challenges and allow them to apply their skills to solve practical business problems.

Study Plan

Curriculum Arrangement

Table 1

*Students must attend a minimum of 5 colloquia or field visits. 

Table 2

**Upon admission, students who do hold a bachelor degree in STEM disciplines or other areas with evident of mathematics knowledge, are required to take this elective course in the first semester of the first year. Students with STEM disciplines may instead choose another elective offered in the same semester.

Notes:

1. To complete the programme, students are required to take 8 compulsory programme modules listed in Table 1 (24 credits), Professional Development (1 credit), 2 elective modules from the elective modules listed in Table 2 (6 credits); and complete Project Report listed in Table 1 (6 credits). The total number of modules is 12 (37 credits).

2. A module will not be offered if the number of students enrolled is less than 10 students. Students should choose another module listed in the same table.

3. Students are not allowed to retake a module they have completed.

Remark: The medium of Instruction is Chinese / English.

1.  Academic Discipline of the Programme: Management Science.

2. Mode of Delivery: Face-to-face; full-time study.

3. Duration of the Programme: The programme shall have a minimum duration of two years.

4. Graduation Credit Requirement: 37 credits.

5. Master's Degree Requirement: To be awarded the Master's degree, students are also required to complete an original project report and successfully undergo assessment and an oral defence.

Admission Requirements

1. Applicants must have a bachelor's degree or equivalent. A previous degree with a major in management, finance, economics, statistics, engineering, applied sciences and related fields is preferred.

2. Those who apply for the degree are required to attend the entrance examination organized by City University of Macau.

3. Admission is given to those who have achieved the high quality of exam results. Applicants who hold a bachelor degree in STEM disciplines or other areas with evident of mathematics knowledge is preferred.

4. Priority will be also given to applicants who successfully pass the National Chinese Graduate Student Entrance Examination.

5. The medium of instruction of the programme is available in Chinese/English. At the time of application, applicants may provide one of the following English proficiency qualifications:

          Local, Hong Kong, Taiwan, and international applicants:

• TOEFL (paper-based) score of 517 or TOEFL iBT score of 67 or above;

• IELTS overall score of 6 or above.

  Mainland China applicants:

• Passing CET-4 (College English Test Band 4), or a score of 425 or above; or

• TOEFL (paper-based) score of 517 or TOEFL iBT score of 67 or above; or

• IELTS overall score of 6 or above.

6. If applicants cannot provide proof of English proficiency, the University shall arrange a separate English language test to assess their English level.