Management Science and Engineering ( M.S. )

1. Training/Research Orientation

• Information Management and Decision Support
• Logistics and Supply Chain Management
• Financial Engineering

2. Program Duration and Credit

• Three years generally, the maximum school years are not longer than 5 years (including the extension time).
• 34 credits of courses in total, at least 22 credits of academic courses.

3. Core Courses and Introduction

Advanced Operations Research
Operational research is a “harder” subject in soft science and its branches almost extend to modern scientific computing and management science researchareas.Advanced Operations Research focuses on the combination and applicationof theory,theuse of algorithm and software implementation, advanced content of operational research which mainly includes nonlinear programming theory, decision theory, fuzzy set theory, explaining the advanced operational research concepts and algorithms in detail. The course will enable students to strengthen abilities in modeling and solving method of mathematical principles and theoremsin the aspect of theory;solving the management problems of multivariable and complicated influence factors inreality application;applying the existing logistics software .

Database and Data Mining
The goal of this course is to study the basic theory, the basic principle and the basic methods of database and data warehouse system design, grasp the research contents and the main algorithm of data mining, learn the analysis method of algorithm performance.
The course mainly teaches the basic theory, basic methods and implementation techniques of database and data mining system, and the latest technology and development trend of database, introduce the basic concept and principle of the data warehouse. The research content and the main algorithm of data mining is introduced, including association analysis, classification, clustering analysis, anomaly detection, web mining, methods and algorithms for big data mining. This course teaches programming of classic data mining algorithms and the performance analysis methods of algorithms.

Applied Multivariate Statistical Analysis
Multivariate statistical analysis is a theory and method of mathematical statistics method which is used to study the multivariable problems. It can analyze their statistical rules from multiple objects and multiple index related cases. With thedevelopment of computer application technologyand  the urgent requirement of scientific research, multivariate statistical analysis technology has become an effective way to solve practical problems and has been widely used in many fields of geology, meteorology, hydrology, medical, industrial, agricultural and economic.Through studying this course, students can master the principle of multivariate statistical analysis methods and skillfully use Matlab in analyzing, modeling and solving when encountering practical problems.

Game Theory and Information Economics
This course introduces the basic concepts of game theory and information economics, basic theory, basic analysis method. It’s main contents include: complete information static game, dynamicgame with complete information,incomplete information static game and dynamic game with incomplete information, and auctions, bargaining, repeat the game project. Through the course, students can establish the mathematical model of the gamefor simple problems in economic management, analyze the problem of combination of qualitative and quantitative scientific,explore the scientific theory of economic management.

Decision theory and Decision Support
The course's main contents include: various types of decision theory and method such as multiple attribute decision making, gray comprehensive evaluation decision, Bayesian decision-making, group decision-making, Markov decision, competition policy; the concept of decision support system, structure,analysis, design, development and implementation of relevant knowledge.In addition,it illustrates the theory and method of decision-making, decision support and application by the case. Through the course , the graduated students should be capable to understand the decisions,the decision support of basic theory and systematically grasp various qualitative and quantitative decision method so that student can lay a solid foundation for decision support of theoretical research and practical application and learn to use the theory and method of decision analysis to solve problems.

4. Supervisors

Gang Qian，Wanfeng Dou，Ziqiang Zhao，Xiangqian Feng，Huaigang Wu.