IT Engineer - Data science and AI Program
29/06/2026 22:32
PROGRAM OBJECTIVES AND LEARNING OUTCOMES OF INFORMATION TECHNOLOGY (SPECIALTY – ENTERPRISE COOPERATION) – Specialization: Data Science and Artificial Intelligence
(Issued together with Decision No. 1948/QĐ-ĐHBK dated September 7, 2020 by the Rector of the University of Science and Technology)
A. GENERAL INFORMATION
| 1 |
Program Name |
(Information Technology – Specialty of Data Science and Artificial Intelligence) (Enterprise Cooperation) |
| 2 |
Training Level |
Specialized Integrated Bachelor – Engineer |
| 3 |
Program Code |
7480201 |
| 4 |
Admission Requirements |
High school graduates meeting the minimum quality threshold set by the University of Science and Technology for each admission year. |
| 5 |
Duration |
5 – 5.5 years |
| 6 |
Mode of Study |
Full-time |
| 7 |
Required Credits |
180 credits |
| 8 |
Grading Scale |
4.0 Scale |
| 9 |
Degree Awarded |
Bachelor's Degree and Engineer's Degree |
| 10 |
Career Positions |
Graduates of the specialized integrated Bachelor – Engineer program in Information Technology (Specialty – Enterprise Cooperation), specializing in Data Science and Artificial Intelligence, are suited for the following positions:
- Working in domestic and international IT software solution companies in the field of data analytics;
- Working in government agencies, state-owned enterprises, private enterprises, and foreign companies to support data processing and statistical tasks;
- Conducting surveys, investigations, and forecasting at organizations across almost all sectors of the economy, multinational corporations, banks, insurance companies, and consulting firms;
- Working and conducting research at major national institutes and centers in the field of data processing;
- Working in AI product development departments, and in the intelligentization of processing and computing systems;
- Processing, analyzing, and visualizing big data at domestic and international technology and industrial corporations;
- Entrepreneurship and development of data analytics and artificial intelligence applications for everyday life.
|
| 11 |
Further Study Opportunities |
Graduates of this program are eligible to apply for master's degree programs in the same or related fields. |
B. PROGRAM OBJECTIVES AND LEARNING OUTCOMES
I. Program Objectives
1. General Objectives
The general objective of the Information Technology (Specialty – Enterprise Cooperation) program, specializing in Data Science and Artificial Intelligence, at the University of Science and Technology – The University of Danang is to develop learners with strong political qualities and ethics; scientific and technical knowledge along with professional practical skills; research, application, and development capacity in the field of Information Technology commensurate with their level of training; lifelong learning ability; creativity and professional responsibility, adaptable to business, social, and multicultural, multinational working environments; good health; and a sense of community service, meeting the requirements of socio-economic development and ensuring national defense and security.
2. Specific Objectives
The University of Science and Technology – The University of Danang trains graduates of the specialized integrated Bachelor – Engineer program in Information Technology (Specialty – Enterprise Cooperation), specializing in Data Science and Artificial Intelligence, to:
- Possess comprehensive professional knowledge and interdisciplinary scientific and technical knowledge to solve problems in the field of Data Science and Artificial Intelligence;
- Have in-depth professional skills; the capacity to research, identify, solve problems, and draw expert-level conclusions in the field of Data Science and Artificial Intelligence;
- Be capable of working independently and creatively; able to work effectively in teams as a member or team leader; possess communication skills in multicultural and multinational environments;
- Be able to conceptualize, design, implement, and commercialize products; identify and analyze user and enterprise needs in selecting, initiating, integrating, evaluating, and managing computing systems; have an understanding of economics, politics, society, and the environment to contribute to the sustainable development of society.
II. Program Learning Outcomes
Graduates of the specialized integrated Bachelor – Engineer program at the University of Science and Technology – The University of Danang in Information Technology (Specialty – Enterprise Cooperation), specializing in Data Science and Artificial Intelligence, shall meet the Level 7 learning outcome requirements of the Vietnamese National Qualifications Framework:
- Ability to apply knowledge of Mathematics and science and technology to solve new and complex technical problems in the field of Data Science and Artificial Intelligence, meeting standards and requirements related to health, safety, environment, and socio-economic factors.
- Ability to analyze complex computational problems, apply computational principles in Data Science and Artificial Intelligence, programming fundamentals, and knowledge from related disciplines to design, implement, and evaluate solutions in the field of Data Science and Artificial Intelligence.
- Ability to think critically, creatively, and entrepreneurially, and to conduct oneself professionally; possessing professional ethics and responsibility.
- Ability to adapt and self-direct career development and specialization; ability to absorb and apply new knowledge; use appropriate learning strategies; and possess knowledge-transfer skills.
- Ability to work in teams; ability to communicate effectively in international and multicultural environments; foreign language proficiency of TOEIC 600 or equivalent.
- Ability to conceptualize, select, design, integrate, evaluate, and manage information technology systems based on analysis of user and enterprise requirements in the field of Data Science and Artificial Intelligence.
- Skills to effectively organize, manage, and improve specialized professional activities in the field of Data Science and Artificial Intelligence.