Course Description

MBSZ01 Applied Statistics (3 credits) 

This course provides the students with the fundamental theory on statistics and data analysis with a focus on the most commonly used advanced statistical tools and their applications. Specifically, it covers factor analysis, multiple linear regression, logistic regression, discriminant analysis, exploratory factor analysis, reliability analysis and path analysis.

MBSZ02 Enterprise Information Management (3 credits) 

This course concentrates on how the enterprise can make effective use of modern information resources. The course introduces students the in-depth studying of key issues of business information management, in associated with both the fundamentals of information management and the emerging business practices in this field. The course enables students to understand the theory and practice of information management in contemporary business.

MBSZ03 Managerial Economics (3 credits) 

Managerial economics is a branch of applied economics and it is the communication bridge between economic theory and the enterprise management decision. The course has two main purposes. First, it introduces the basic principles of microeconomics. Second, it introduces how to make scientific decision-making according to the basic economic principles and specific business environment.

MBSZ04 Data Mining (3 credits) 

Data are important to the success of any organizations. Data mining is the process to extract useful information and pattern from the mass data set and transform it into an understandable structure for further use. The goal of this course is to introduce students to the contemporary data mining theories, practices, tools and techniques. The key objectives of this course are to introduce the fundamental concepts of data mining and to provide extensive hands-on experience in applying the concepts to real-world business applications. The core topics include data mining concepts, basic data mining subjects, such as classification, clustering, association analysis, and the popular algorithms and methods for solving these problems.

MBSZ05 Research Methodology (3 credits) 

This course provides an introduction to qualitative and quantitative research methodology for students to conduct significant academic exploration and research. The content includes exploring research topics, literature review, identifying research gaps, establishing research models and hypotheses, research design, data collection, data analysis and interpretation, discussing theoretical and practical contributions and organizing manuscript of the report.

MBSZ06 Game Theory (3 credits) 

Game theory mainly studies the interaction among the parties by formula, and is a mathematic method to study the business competition. Through game theory, we also simulate and optimize the forecasting and actual behavior of each party. In this course, detailed gaming processes are discussed and demonstrated to the students. In particular, this course mainly covers the following topics: static games of complete information, static games of incomplete information, dynamic games of complete information, and dynamic games of incomplete information.

MBSZ07 Business Analytics with Practice (3 credits) 

This course introduces how to apply computer software, statistics and mathematical tools in business analytic problems. It integrates the theory in decision analysis and practice in business analytics, and provides systematic introduction of fundamental theory and methods, such as linear programming, integer programming, goal programming, nonlinear programming, data mining, forecasting and simulation models.

MBSZ08 Operations Analysis (3 credits) 

This course covers all the aspects in production and operations system, including strategy and competition, forecasting, aggregation planning. It provides further investigation on inventory control subject to stochastic demand, material requirement planning in push-pull production systems, just-in-time production, operations scheduling, project management, facility layout, and location.

MBSZ09 Contemporary Topics in Supply Chain Management (3 credits) 

This course covers the topics on background of Supply Chain Management, basic theories, system design, production management, logistics management, inventory control strategy, performance evaluation, collaboration with electronic commerce and business platform model to recent popular research topics such as supply chain coordination, network planning, supply chain contracting, supply chain integration, distribution model, procurement and outsourcing strategy, customer value, Intelligent pricing, information technology and supply chain finance. Students in this courses are required to do further analysis and studies in those topics.

MBSZ10 Special Topics in Supply Chain Finance (3 credits) 

Supply chain finance is a new subject that combines supply chain management and finance knowledge. The subject discusses the supply chain finance’s concept, characteristic, background, and basic business models (such as account receivable, bounded warehouse), risk management, etc.

MBSZ11 Big Data Analytics (3 credits) 

With rapid development of information technology, data from all the industries grow quickly. Data analytics has become an important analytic tool enabling us to obtain valuable information. The course aims to introduce the application of data analytics in real business problems. The main content includes the core advantage, main problems, and common analytic methods, especially in data analysis and problem solving.

MBSZ12 R Application in Quantitative Analysis (3 credits) 

With respect to qualitative analysis, quantitative analysis plays a more important role in business decision making. The course introduces typical algorithms and common applications, based on R language, so as to realize complex quantitative analysis.

MBSZ13 Information Technology Service Management (3 credits) 

This course introduces the main idea of IT service management by focusing on cases in real world. This course focuses on students' practical ability on IT service implement, including assessment planning, process design, equipment selection, on-line service and project management.

MBSZ14 Electronic Commerce and Application (3 credits) 

The course introduces students the concepts, technology-oriented moves, emerging business practices and business innovations in E-Commerce. By taking the managerial perspective and case-based approach, the course discusses the business theories and the management complexity embedded in applying EC-enabled initiatives in modern business.

MBSZ1Thesis (12 credits)

This is an one-to-one basis course, and students are required to write a research thesis under the guidance of their supervisors. The content includes exploring research topics in the business discipline, literature review, research design, data analysis, results interpretation, reaching conclusions, discussing the practical implications for industry participants and exploring future research directions.

Contact Us

Address :

O934, Macau University of Science and Technology,

Avenida Wai Long, Taipa, Macau


Bachelor Programmes :

Tel : (+853) 88972025

BBA email : bba-ad@must.edu.mo

BAE email : bae@must.edu.mo


Graduate Programmes :

Email : msb_inquiry@must.edu.mo

EMBA

*This is offered and managed by the Graduate School

Tel : (+853) 88972033

Email : emba@must.edu.mo

MBA, MPA :

Tel : (+853) 88972107

MBA email : mba@must.edu.mo

MPA email : mpa@must.edu.mo

MSF, MAE :

Tel : (+853) 88972360

MSF email : msf@must.edu.mo

MAE email : mae@must.edu.mo

MMS :

Tel : (+853) 88972857

Email : mms@must.edu.mo

MSCM :

Tel : (+853) 88971727

Email : mscm@must.edu.mo

MSA, MCO:

Tel : (+853) 88972110

MSA email : msa@must.edu.mo

MCO email : mco@must.edu.mo

MSBA:

Tel: (+853) 88972137

Email: msba@must.edu.mo


DBA, DPM :

Tel : (+853) 88972162

DBA email : dba@must.edu.mo

DPM email : dpm@must.edu.mo