Vision and Mission

Vision

To become a professional provider of human resources in the application of statistics in the business sector to support industrial development, particularly in productivity, quality, marketing, and finance.

Mission

The mission of the Business Statistics Department:

  1. Organizing professional education programs with a statistical curriculum relevant to business needs, supported by quality resources.
  2. Develop learning strategies that are effective and meet competency standards
  3. Cooperating with various industries, institutions, and government agencies as a means of developing the application of statistics to increase the competence and professionalism of graduates
  4. Applying statistical and computational science that supports analytical business activities

Value

The values ​​that the Business Statistics Department wants to instill are:

  1. Ethics and Integrity; in the life of society, state, and running their profession, always adhere to the norms and regulations that apply in society, state, and religion
  2. Creativity and Innovation; always looking for new ideas to produce innovation in carrying out their duties / roles better
  3. Excellence; try your best to achieve perfect results
  4. Strong Leadership; show visionary, creative, innovative, hardworking behavior, dare to make changes in a better direction, and be responsible
  5. Synergy; work together to be able to make the most of their potential
  6. Social and Social Responsibility (Sociology-cohesiveness and Social Responsibility); maintain harmony and care for the surrounding community

Target

The goals of the Department of Business Statistics, Ten November Institute of Technology are:

  1. Develop a statistical curriculum that is relevant to the needs of the business world.
  2. Developing effective learning strategies that meet competency standards.
  3. Cooperating with various industries, institutions, and government agencies as a means of developing the application of statistics to increase the professional competence of graduates.
  4. Produce graduates who are professional in conducting data analysis in the business field.
  5. Applying statistical and computational science that supports analytical business activities