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The Department of Information Statistics aims to train professionals with data collection, management, and analytic skills. To achieve this goal, we have overhauled our curriculum to place an emphasis on theoretical statistics, data analysis, applied computer science, allowing us to produce talented human resources inevitable for the knowledge and information society.

The importance of teaching methods is apparently larger than the development of the appropriate curriculum. One of our specialties is diverse teaching methods. Although courses concerning basic principles offer one-way explanative lectures, most of our major subjects make students engage in lecture. Students are required to decide upon the theme of analysis, collect, analyze the related data, and make presentations. This student engagement is used as a field practice, maximizing students’ performance. For instance, students taking the Statistical Survey Design should design and distribute surveys and collect and analyze the results to prepare a report. It seems hardly possible to complete all these tasks in a single semester, but students, by going through this exhaustive process, can grow into skilled professionals.

In addition, we actively encourage students to take a minor or a double major because statistics is more useful when coordinated with other fields. Thus, we have created the interdisciplinary programs for ‘Marketing and Social survey’ and ‘Insurance and Finance.’ As a result, more than 48 percent of our sophomore, junior, and senior students are taking interdisciplinary programs in business administration, economics, and eight other majors. In particular, 32 of 50 students are taking a double major or minor, which means virtually all of our students have access to studies connected with statistics.

Academic Goals

The main objective of our Department of Information Statistics is to train competent decision makers, data analysts with precise analytic skills, and multi-tasking statistics professionals who have a good command of statistical data needed to understand society and natural phenomena. We are committed to offering high-quality education and fulfilling academic needs of students in a bid to produce graduates that can rapidly and actively adapt to the growingly competitive society and use their knowledge to practice love of others.

Career Opportunities

As almost all the areas both in the private and public sectors have a growing demand for scientific inference and prediction, the demand for statistics professionals is also surging in recent years. Statistics has been selected as one of the 10 most promising fields in the 21st Century by the press at home and abroad. Bill Gates forecast statistics and data mining as leader sciences. Against this backdrop, an increasing number of our graduates are successfully employed by related industries. Our department also makes every possible effort to achieve the highest-level of employment. Job opportunities for our graduates have diversified recently, major fields being data research, consulting, corporate marketing, planning, credit evaluation, finance, insurance, agencies under the National Statistics Office, and graduate schools.


Principles of Statistics and Information Mathematics for Statistics
Staticstical Programming Regression Analysis
Mathematical Statistics Sampling Theory
Statistics Using Computer Language Nonparametric Statistics
Statistical Quality Control Experimental Design
Time Series Analysis Categorical Data Analysis
Survival Analysis Multivariate Data Analysis
Statistical Graphics Statistical Information Processing Using EXCEL
Programming for Decision Making Data Mining
Analysis of Management Information Practice in Statistical Survey Design
Statistical Consulting Advanced Topics in Statistic and Information
Actuarial Statistics Acturarial Models
Value Valuation Methodology Introduction to financial Engineering
Financial Mathematics Analysis of Financial Derivatives
Financial Simulation lnvestment
Financial Econometrics