1. Training objectives

General Objectives:

The Data Science Program, with a specialization in Data Science for Innovation in Economics and Business, is designed with an application-oriented approach to educate graduates who possess strong political qualities, professional ethics, and a high sense of social responsibility. The program equips students with a solid foundation in mathematics and statistics, computational thinking, programming skills, as well as knowledge in economics and business.

Graduates are expected to demonstrate logical, systematic, and critical thinking, along with in-depth expertise in Data Science. They are proficient in practical skills, foreign languages, and professional tools, and are capable of innovation, autonomy, independent and collaborative work, and lifelong learning. Furthermore, they are well-prepared to adapt and contribute to sustainable development in the context of digital transformation and international integration.

Specific Objectives:

The program aims to educate a cohort of highly qualified Data Science graduates who possess the capabilities to adapt to and lead in the context of digital transformation and global innovation. Specifically:

PO1: Demonstrate a solid foundational knowledge of Data Science, including data analytics and applications for innovation in economics and business, as well as data engineering and data management for innovation in economics and business; effectively integrate this knowledge with economics, business, and innovation to address real-world problems.

PO2: Attain proficiency in technological tools and platforms, with the capability to analyze, implement, and apply Data Science to support decision-making; develop systems thinking, critical thinking, ethical awareness, and creativity in an interdisciplinary context.

PO3: Possess strong political qualities, professional ethics, a sense of responsibility, and a professional attitude; demonstrate autonomy in learning, adaptability, and innovative capacity; achieve competence in foreign languages, digital skills, and physical well-being to work effectively in international environments, pursue long-term career development, and engage in advanced studies

2. Program Learning Outcomes

The program is designed to develop graduates in the field of Data Science who are capable of adapting, innovating, and leading change in the context of globalization and digital transformation.

Upon graduation, students are expected to be able to:

Knowledge

PLO1: Apply foundational knowledge in mathematics and statistics, computational thinking and programming, as well as political science, social sciences, and humanities to academic study and professional practice.

PLO2: Apply core knowledge of Data Science and utilize modern software tools and programming languages to analyze data; employ data mining and data management methods to address practical problems in economics and business.

PLO3: Synthesize and integrate knowledge of Data Science with economics and business to foster innovation and support decision-making in economic and business contexts.

Skills

PLO4: Demonstrate effective communication, teamwork, and leadership skills to collaborate, convey ideas, and execute professional tasks efficiently.

PLO5: Develop self-directed career competencies and apply creative and innovative thinking to solve problems, promote initiatives, and foster entrepreneurship in the field of Data Science.

Foreign Language Proficiency and Digital Competencies

PLO6: Demonstrate proficiency in a foreign language at Level 4/6 in accordance with the current Vietnamese Framework of Foreign Language Competence, including proficiency in discipline-specific (professional) language.

PLO7: Demonstrate advanced information technology skills in accordance with Circular No. 03/2014/TT-BTTTT dated March 14, 2014, issued by the Ministry of Information and Communications; achieve digital competency at Level 7/8 across key domains, including data and information literacy, communication and collaboration in digital environments, digital content creation, and safety; and attain Level 7/8 in the domain of artificial intelligence application as defined in the Digital Competency Framework under Circular No. 02/2025/TT-BGDĐT dated January 24, 2025, issued by the Ministry of Education and Training.

Autonomy and Responsibility

PLO8: Demonstrate resilience in overcoming challenges, adaptability to changing environments, and a collaborative mindset with respect for diversity; cultivate a proactive commitment to continuous knowledge acquisition, professional development, and the maintenance of ethical responsibility and integrity in the field of Data Science.

3. Curriculum framework

 Notes:

* The second foreign language in the curriculum (students may choose one of the following: English, Chinese, Japanese, French, or Spanish). Upon completion of the second foreign language courses, students are expected to achieve Level 3/6 of the Vietnamese Six-Level Foreign Language Proficiency Framework, in accordance with Circular No. 01/2014/TT-BGDĐT. The results of the second foreign language courses are not included in the cumulative GPA and are not considered a requirement for meeting the program learning outcomes. However, the results will be recorded in the student’s academic transcript/certificate.

** Students may select any courses from the list of elective courses. If a student completes at least four elective courses within a specific specialization group, this specialization will be indicated in the diploma supplement.

*** Core courses are mandatory for students who choose to follow a particular specialization track.