Quantitative Business Analysis Course of MBA at Hitotsubashi University

ICS , Graduate School of International Corporate Strategy

[Term 1] Quantitative Business Analysis (S. Oue) (2008/Term 1&2 (Fall&Winter))

An important part of leadership and management consists of defining and solving many types of problems. Inherent in the problem solving process is decision making. The best convincing decisions are those that are made based on fact, and usually require the use of data.

This course is an overview of data analysis and applied statistics as used in managerial decision making. It is one particular area where a student can have an immediate competitive advantage over new business school graduates.

The overall objective is to improve your ability to model situations and analyze data to make intelligent and fact-based decisions. We will work on the following specific goals:

(1) Improve your ability to simplify situations using mathematical models.

(2) Learn to understand linkages between variables that exhibit variations, and use those linkages to make decisions.

(3) Implement mathematical models on a spread sheet software and understand the resultant output.

(4) Improve your overall quantitative skills.

The mathematics requirement is minimal (not none). You are also expected to reflect what you will learn in Problem Solving Skills.
Course Structure

The course consists of the following three phases:

1. Pro-Forma and Decision Models. The first phase will introduce key elements of business quantitative models. It provides an overview of several concepts from accounting and finance that are useful in management decision making. A proactive decision maker does not limit the evaluation of an alternative to a single estimate of its performance, but acknowledges explicitly the uncertainties that affect that performance. This phase will also develop a language for describing the spectrum of potential possibilities and the tools for analyzing the impact of uncertainties.

2. Statistics. The best decision models are those that are made based on fact, and usually identified based on data. However, we never have ideal sample data. They always have some type of bias from an ideal situation. This phase will explain how samples behave so that we can accurately interpret the results of a sample.

3. Full Business Simulation. This phase will put the components together and construct detailed business simulation models.
Teaching Method

The course consists of lectures and case studies.

The software package you will be using in this course is Microsoft Excel. You are certainly free to use other packages for homework assignments but then you run the risk of not being able to do some problems.

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