Department Overview

History

The Department of Applied Statistics and Information Science (ASIS), previously known as Department of Statistics, was established in 1990 located on Taipei campus, upgraded from the Department of Accounting & Statistics of Ming Chuan College. In 1998, ASIS moved to Taoyuan campus and a master's program was established in 2002.

The main goal of this department is to train talents with decision-making and analytical skills, taking into account the needs of future employment markets for students. Therefore, in teaching and curriculum design, special emphasis is placed on the application of computer software packages combined with statistical analysis methods to ensure that theory and practical operation are closely integrated and that the principle of "learning by doing" is achieved. The department aims to train statistical professionals who are capable of handling data and problem solving. Its greatest features are curriculum training standardization, practical course informationization, teacher professionalization, and curriculum content humanization.

Core Competencies for Graduates

The main objective of this department is to primarily train individuals with decision-making and analytical capabilities, taking into consideration the demands of future employment markets for students. Therefore, in teaching and curriculum development, there is a special emphasis on the application of computer software packages combined with statistical analysis methods, ensuring a close integration of theory and practical application, achieving the principle of "learning by doing". The department aims to train statistical professionals with the ability to handle data and solve problems. Its greatest features are standardized curriculum training, practical course informationization, teacher professionalization, and humanized curriculum content.

Mission Goals Objectives

Mission

The mission of the Applied Statistics and Information Science Department is to cultivate and promote responsible Statistics and Information Science professionals who have decision-making ability.

Mission Goals Objectives

Undergraduate
  1. Convey professional knowledge: Build students' foundation in statistical analysis and information science.
  2. Train practical skills: Enhance student’s practical skills and promote corporate internships to connect with the industry.
  3. Strive for excellence: Cultivate information science talents who are capable of special topic research and problem
  4. Foster international view: Promote foreign language capability and participation in international volunteer or overseas training program.
Graduate
  1. Convey professional knowledge: Cultivate students’ application abilities in information science skills.
  2. Strive for excellence: Cultivate talents for statistical consulting and data mining.
  3. Expand international view: Enhance international mobility of talents for information science.

Core Competencies

Undergraduate

  1. Equipped with the ability to understand fundamental statistical methods and apply information science.
  2. Equipped with the planning and designing ability for data collection.
  3. Equipped with the ability to use statistics and information-related software to analyze, interpret, express and make decisions.
  4. Equipped with communication and teamwork ability.

Graduate

  1. Equipped with cross-disciplinary statistical application ability.
  2. Equipped with information science software application ability.
  3. Equipped with practical analysis, statistical analysis, and expression ability.
  4. Equipped with the ability to understand the trends of information science applications.

Developments

To keep up with future trends, Applied Statistics and Information Science Department has developed a comprehensive long-term plan for building a foundation of teaching, services, and research, looking forward to advancing our students into professional fields. Some focal points of this long-term plan are as follows:

  1. Continued review of curriculum design to maintain distinctive features.
  2. Keeping track of the pulse of industry and society, retain faculty members with excellent practical applications abilities.
  3. Continuously encourage faculty to conduct research and present/publish papers.
  4. Regularly host departmental teaching improvement seminars every academic year.
  5. Promote industry-academia cooperative projects and implement the application of statistics information.
  6. Actively connect with all graduates and engage them in the department's alumni association.
  7. Strengthen information exchange and communication with related units in different industries to clearly grasp industry needs.
  8. Promote collaboration of faculty experience to produce unified teaching material, practice sets and examination database to elevate students' learning effectiveness.
  9. Promote E-learning systems among faculty and students to keep up with the pace of societal change, and meet the challenge of changing times.