1. TRAINING OBJECTIVE
1.1 General objective:
The program aims to train bachelor graduates in Information Technology (IT), majoring in Applied Data Science (BIT_DS), who possess strong character and professional competence to meet the practical needs of society; have solid theoretical knowledge and practical skills; demonstrate the ability to organize, implement, and apply creativity in tasks related to the Applied Data Science specialization; and are capable of pursuing further study and research at higher academic levels.
The training program aims to:
a) Provide students with foundational and advanced knowledge in Information Technology, including methodologies, core technologies, and specialized technologies of Applied Data Science;
b) Develop students’ professional ethics, working style, attitudes, and essential career skills through a professional working environment, enabling them to flexibly apply IT and Applied Data Science knowledge in practice and enhance their employability upon graduation;
c) Foster comprehensive competencies in foreign languages, scientific thinking, and socio-cultural understanding, thereby encouraging proactivity and creativity in learning, work, and life.
1.2 Specific objectives:
Graduates of the Information Technology program, majoring in Applied Data Science, are required to demonstrate the following Program Outcomes (POs):
PO1. Possess fundamental knowledge of social sciences, politics, law, and national defense and security; foundational knowledge of Information Technology; and in-depth knowledge of Applied Data Science, including techniques, methods, technologies, tools, specialized application domains, and global development trends. In addition, have a comprehensive understanding of the market, context, roles, and responsibilities of professions related to Applied Data Science.
PO2. Be able to work effectively as a full member of a professional team in the field of Applied Data Science: participate in design activities; select appropriate techniques and technologies in line with development trends; solve technical problems; understand technology trends and user requirements; develop plans to complete and improve solutions; manage implementation and changes within assigned tasks; and understand relevant government policies related to the specialized field.
PO3. Demonstrate proficiency in professional skills and 21st-century soft skills (thinking skills, work skills, skills in using work tools, and skills for living in a global society); at the same time, possess knowledge, mindset, and practical experience related to entrepreneurship.
PO4. Use English effectively for study and professional work, and use a second foreign language for everyday communication.
PO5. Demonstrate honesty and high discipline in study and work; work effectively in teams; behave appropriately and culturally in professional and social contexts; be proactive, creative, and committed to lifelong learning; use AI tools appropriately, responsibly, and in compliance with ethical standards. Exhibit professional attitudes and behaviors, with the capability to ideate, design, implement, and operate systems in enterprise and societal contexts.
2. JOB POSITIONS AFTER GRADUATION
Graduates of the Applied Data Science specialization have diverse career opportunities, including but not limited to:
- Data Analyst
- Data Visualization Specialist / BI Developer
- Big Data Analyst / Big Data Engineer
- Database Administrator
- R&D Specialist / Data Researcher
- Machine Learning Engineer
- AI Engineer
- Pursue postgraduate (graduate-level) studies
- Entrepreneurship / Startup founder
3. ENTRY REQUIREMENTS
4. PROGRAM LEARNING OUTCOMES
| # | PLO Name | PLO Description |
|---|---|---|
| 1 | PLO1 | Understand and apply foundational knowledge of social sciences, politics, law, national defense and security, as well as legal issues related to data rights, intellectual property, ethics, and AI policies, thereby contributing to the formation of a scientific worldview and methodology in learning and professional practice |
| 2 | PLO2 | Apply a solid foundation of knowledge in Information Technology in general, and in Applied Data Science in particular, to understand the professional context and effectively acquire advanced and specialized knowledge in the field of Applied Data Science |
| 3 | PLO3 | Apply in-depth professional knowledge and emerging technologies in the field of Applied Data Science, as well as extended knowledge from related disciplines, to professional practice and propose solutions that address diverse real-world needs |
| 4 | PLO4 | Possess basic knowledge of planning and management, including the organization, implementation, and monitoring of plans for professional tasks in the field of Applied Data Science |
| 5 | PLO5 | Possess an entrepreneurial mindset and be able to apply entrepreneurial knowledge and skills to carry out a startup project; demonstrate creative thinking, research skills, critical thinking, and problem-solving abilities |
| 6 | PLO6 | Achieve an intermediate level of English equivalent to Level 4 of the Vietnamese Six-Level Foreign Language Proficiency Framework, and be able to communicate at a basic level in Japanese |
| 7 | PLO7 | Possess communication and presentation skills that enable clear articulation of problems to be addressed and effective delivery of knowledge and skills when carrying out specific or complex professional tasks related to Applied Data Science |
| 8 | PLO8 | Possess programming skills and the ability to use tools for data collection, processing, analysis, visualization, and mining to support decision-making and develop artificial intelligence applications in the field of Applied Data Science |
| 9 | PLO9 | Be able to stay up to date with, and effectively utilize, advanced tools and techniques in the field of Applied Data Science in particular and Information Technology in general. |
| 10 | PLO10 | Develop the ability to work independently as well as collaboratively and effectively in team-based academic and practical environments; demonstrate personal accountability and shared responsibility within a team when carrying out professional tasks. Show a strong commitment to self-directed learning and lifelong learning, with the ability to adapt to the continuous changes of technology and society. |
| 11 | PLO11 | Demonstrate professional conduct, ethical behavior, social responsibility, and a commitment to serving the community; uphold professional responsibility and integrity in the workplace |
| 12 | PLO12 | Be mentally and physically resilient, demonstrate national identity, and confidently integrate into the international community. |
| 13 | PLO13 | Be able to plan, coordinate, and manage resources related to Applied Data Science projects; guide, assign, and supervise the execution of project tasks; and at the same time, evaluate project effectiveness and propose feasible and effective solutions for improvement |
5. OTHER REGULATIONS
6. TOTAL PROGRAM WORKLOAD
Volume of learning of the course: 145 credits, excluding Orientaiton and General Training Program and Preparation English.