current location

Purpose

  • To train the 21st century talented individuals who can cope with the age of information
  • To learn to methods for making decisions by investigating and analyzing data information
  • To cultivate the ability to analyze and interpret qualities, opinions, finances, life sciences, national statistic data, etc. using computers

 

Curriculum

Introduction to Data Analysis

  • To study basic courses of general information statistics such as excel and basic of internet related to basic methods to utilize computers related to data processing

Statistics in Life

  • To study examples of methods to understand and read statistics that are encountered often in daily life

Mathematics for Statistics

  • To learn basic knowledge of mathematics that university students have to be equipped with

Statistical Analysis Using Excel

  • To learn methods to use Excel to easily process calculations, data managements, chart preparations, searches, statistics analyses, etc.

Introduction to Official Statistics

  • To study the contents of statistics that are officially prepared by government institutions such as population, national income, prices, etc. and the methods to prepare them

Probability Concept and Applications

  • To study the concept of probability, thinking of probability, models of probability and application problems of probability theory to consolidate the foundation of statistics

Introduction to Opinion Polls

  • To broaden the scope of understanding surveys of public opinions by studying not only basic concepts and processes to prepare them but also specific methods of surveys of public opinions used in major areas

Exploratory Data Analysis

  • To learn concrete methods to express structural characteristics of data with box shadows, drawings of trunks and leaves and graphs such as histograms

Introduction to Statistics

  • To attain basic knowledge required to study statistics such as basic concepts of statistics and basic processes of statistical analyses

Statistical Package

  • To learn the methods to create and analyze programs related to data using statistical packages, SAS and SPSS

Survey Research Methodology

  • To learn the methods to prepare questionnaires methods to interview, methods to enter collected data, basic methods to collect samples, methods to statistically analyze surveyed data and methods to prepare reports in order to execute actual social surveys

Six Sigma Management

  • To introduce 6 sigma which is a recent method of quality management and study ways to apply it in fields

Introduction to Financial Data

  • To learn ways to understand and analyze interest, exchange rates, deals in futures, options, etc.

Applied Regression Analysis

  • To study the concepts of regression analysis to identify the relations between explanatory variables and response variables and to analyze actual data

Experimental Designs

  • To learn methods of designing experiments for efficient acquisition of information and to learn methods to analyze data using acquired information, to find optimum process conditions and to perform comparative experiments

Sampling Technique

  • To gain theoretical knowledge of various sampling methods, methods of assumption, sampling error, non-sampling error that are essential for various statistical surveys such as government surveys and social organization surveys, etc.?

Quality Management

  • To study international standardization, quality assurance, quality management strategies, etc.

Introduction to Biostatistics

  • To learn how to apply basic knowledge of statistics to the areas of health, medicine and environment

Multivariate Data Analysis

  • To study Factor Analysis, Principal Component Analysis, Cluster Analysis that are used as data analyses in social science and natural science

Reliability Engineering

  • To study the reliability of products from the viewpoint of statistics. This is useful for engineering specialists who analyze systems, for design & development staff or for those who are preparing for the 1st grade quality management engineer examination

Statistical Consulting

  • To suggest solutions for statistical problems arising in social surveys or public opinion surveys. To study this indirectly through case studies?

Mathematical Statistics

  • To study basic concepts of statistics such as probability distribution, the principles of statistical assumptions and tests

Forecasting Methods and Its Applications

  • To study ways to analyze and forecast time series data arranged and observed in accordance with time flow such as economic growth rate, stock price index, prices, etc.

Data Mining

  • To study processes to find important information such as unexpected patterns, new rules, etc. from large scale data

Standardization and Certification

  • To study general quality management including industrial standardization that is covered by examinations for quality management engineers

Advanced Data Analysis

  • To learn diverse methods to utilize database from the viewpoint of practices in order to process and analyze data