Learning Outcomes - Data Science Program
Program Learning Outcomes
- Program Title (English): Data Science
- Degree Level: Undergraduate
- Major: Data Science
- Program Code: 7460108
- Field of Study: V – Computer and Information Technology
- Mode of Study: Full-time and Part-time (Work-Integrated Learning)
Upon completion of the program, graduates will demonstrate knowledge, skills, autonomy, and responsibility as follows:
1. Knowledge
PLO1. Apply fundamental knowledge of natural and social sciences, including mathematics, information technology, political theory, law, and related disciplines in activities within the field of Data Science.
PLO1.1. Apply fundamental knowledge of mathematics and basic sciences to support reasoning and effectively apply core knowledge in Data Science.
PLO1.2. Apply knowledge of social sciences, political theory, and national defense and security education in practical activities.
PLO1.3. Apply fundamental knowledge of information technology to support reasoning and effectively apply core knowledge in Data Science.
PLO2. Analyze and integrate foundational and specialized knowledge, along with solid practical understanding, to solve problems in the field of Data Science.
PLO2.1. Analyze and organize foundational knowledge to identify and select appropriate solutions for problems in Data Science.
PLO2.2. Analyze and integrate specialized knowledge, principles, and solid practical knowledge to effectively solve problems in Data Science.
b. Personal Skills and Attributes
PLO3. Possess essential professional skills, including problem-solving skills, to address issues in Data Science.
PLO3.1. Possess analytical and data modeling skills for solving problems in Data Science.
PLO3.2. Possess skills in developing and optimizing data analysis models to solve problems in Data Science.
PLO4. Possess learning, research, and knowledge discovery skills in the field of Data Science.
PLO5. Demonstrate professional ethics, responsibility, political awareness, and compliance with legal and technical regulations.
c. Interpersonal Skills
PLO6. Possess communication, organizational, and teamwork skills in study groups, research groups, and social organizations.
PLO7. Possess professional communication and information exchange skills, including the use of foreign languages in professional contexts.
PLO7.1. Effectively use communication and information exchange skills in Data Science activities.
PLO7.2. Effectively use foreign languages in professional work within the field of Data Science.
d. Professional Practice Competence (Autonomy and Responsibility)
PLO8. Analyze organizational and business contexts, identify opportunities, and apply knowledge to propose professional solutions, innovations, and improvements that meet the needs of organizations and society in Data Science.
PLO9. Possess skills in planning, managing, evaluating, and implementing professional activities in Data Science.