Learning Outcomes

Graduates of the Bachelor’s Program in Data Science and Artificial Intelligence are expected to be able to:

1. Knowledge

  • Demonstrate understanding of fundamental concepts and theories in Data Science and Artificial Intelligence.

  • Comprehend algorithms and models used in the development of intelligent systems.

  • Analyze big data using modern tools and techniques.

  • Acquire knowledge of advanced applications of AI and Data Science across different sectors.

2. Skills

  • Analyze complex computing problems and identify appropriate solutions using principles of Data Science and AI.

  • Design, implement, and evaluate intelligent computing solutions that meet specified requirements.

  • Apply techniques in Machine Learning, Deep Learning, and Natural Language Processing to solve real-world problems.

  • Develop and efficiently implement advanced data analytics models.

  • Conduct research or applied projects using tools such as Python, R, and AI frameworks.

3. Competencies

  • Communicate effectively in diverse professional contexts.

  • Adhere to professional responsibilities and ethical practices in computing and data handling.

  • Work collaboratively within and lead multidisciplinary teams to achieve objectives.

  • Conduct applied research to address societal challenges using AI-based solutions.

  • Engage in self-directed and lifelong learning to keep pace with rapid developments in the field.