Vission and Mission

Vission and Mission

Vision of the Department of Informatics Engineering

To become a reliable and internationally recognized department while maintaining local values in the development of knowledge and technology in software, information security, and business analysis in the field of data intelligence to improve the quality of life in society.

Mission of the Department of Informatics Engineering:

  1. Providing comprehensive education in Information Systems and data analytics that equips students with a solid understanding of Information Systems principles and relevant data analytics methods and techniques.
  2. Developing strong data analytics skills by introducing students to various data collection techniques, statistical analysis, data mining, data visualization, and predictive modeling to produce graduates who are able to manage data carefully and gain valuable insights for decision making..
  3. Encouraging the use of the latest technology in data analytics in the context of Information Systems by providing opportunities for students to master analytical tools that are widely used in the industry, such as analytics-related programming languages, analytics platforms and software, and relevant data infrastructure.
  4. Facilitating students to apply the concepts and techniques
    learned in practical projects, industry case studies, and internships at companies as well as independent learning internships related to data analytics so that graduates can overcome real-world challenges in managing and analyzing data effectively.
  5. Encouraging research collaboration with industry and related institutions that promote knowledge exchange, innovation, and the development of new analytical solutions.
  6. Developing a professional and ethical attitude that prepares graduates to manage data with integrity and uphold privacy and computing security, accompanied by good communication skills.

Scientific Vision of the Information Systems Study Program:

To develop information systems science in the fields of data analytics, business processes, and reliable, international-standard digital transformation in order to increase productivity as a supporter of sustainable development

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