《数据、模型与决策》是工商管理硕士（MBA）研究生的一门必修课程，它的内容是定量的而非数学的，主要由管理运筹学和应用统计学的核心内容所组成。管理运筹学着重于定量分析、研究和解决经济与管理中的决策或策略问题，以追求问题的最优解；应用统计学着重于综合分析和挖掘经济与管理事物中的数据信息，以充分揭示事物的客观规律。《数据、模型与决策》是对这两门学科基础知识的有机整合。《数据、模型与决策》是一门知识传授与知识应用并重的课程。在知识传授方面，重点介绍管理运筹学与应用统计学的基本思想和主要算法；在知识应用方面，重点介绍利用管理运筹学与应用统计学知识解决实际问题的基本方法和过程。本课程的教学目的是使学习者掌握经济与管理科学中"收集相关数据、建立定量模型、进行科学决策"的一般思路和方法，并通过本课程有关定量分析的训练，使其在今后的经济与管理决策行为中更注重科学的优化思想和实践。针对MBA学生的本科背景复杂、数学基础差异过大的实际情况，同时根据本课程是数量的而非数学的特点，本课程所包含的的教学内容则主要涉及管理运筹学和应用统计学的基础部分。全部内容包括线性规划及其扩展知识、网络计划、非线性规划、概率论与数理统计基础知识、参数估计、假设检验、回归分析、预测知识。《数据、模型与决策》课程结构严谨、体系完整。管理运筹学与应用统计学的各部分紧密关联，在解决实际问题方面又不可或缺。教学中，有两种主要方式：（1）基于电子表格的教学形式以Excel系统下的电子表格为基本形式，在使学习者理解相关基本原理的同时，注重一些定量分析方法的实际应用，以使学习者能够完整地进行数据处理、问题建模与优化求解的一般过程。这就是国际上比较流行的Spreadsheet教学法。（2）基于专用软件的教学方式在LINDO、SPSS、Microsoft Project等应用软件支持下，结合相关的基本原理，使学习者能够完整地进行数据处理、问题建模与优化求解。这是偏重于传统的教学方法。

Data, Model and Decisions is a compulsory course of MBA, its contents is quantitative rather than mathematical, and it is composed of the core course of management operational research and applied statistics. The former put emphasis on quantitative analysis and solving problems in economics and management, in order to pursue optimized solution, the latter put emphasis on comprehensive analysis and digging data and information, in order to find objective orders of nature. Data, Model and Decisions is the organic integration of these two subjects.In this curriculum, we will introduce the basic thoughts and main algorithms of management operational research and applied statistics, also basic methods and process of solving actual problems. The teaching purpose of this course is to make learners master the general idea and methods of "collecting related data, building up quantitative model and making scientific decision" in management, and to make them pay more attention to optimized thoughts and activities in decision-making for the future.Based on the complex undergraduate background and great difference in math of MBA, at the same time, this course is quantitative rather than mathematical, its contents involved basic parts of management operational research and applied statistics, including linear programming and its expanded knowledge, network programming, nonlinear programming, probabilities and statistics, parameters estimate, regression analysis.The structure of Data, model and decision is precise, and the system is complete. In the teaching, we have two means mainly:(1) Teaching method based on Electronic FormBased on the Electronic Form of Excel, learners can not only understand the related keystones, but also pay attention to the application of some quantitative methods. This is the international popular Spreadsheet teaching method.(2) Teaching method based on special softwareWith the help of LINDO, SPSS, Microsoft Project etc., combined with related keystones, learners can carry on data processing, building up models and solving the optimized solutions. This is the traditional teaching method.