- Training objectives
General Objectives:
The program Artificial Intelligence for Innovation in Economics and Business aims to train applied AI human resources with a solid foundation in artificial intelligence, machine learning, and smart technologies, while integrating innovative thinking in the fields of economics and business. Students are equipped with the capacity to develop and apply AI models, build smart decision-making systems, and create technological solutions to solve problems, promote digital transformation, and create new values for businesses and society.
Upon graduation, students are capable of applying AI expertise to analyze, forecast, and support the process of management, planning, and innovation in economics – business. They form creative thinking associated with technology, know how to organize and implement innovative initiatives, and are ready to work in a global environment and proactively adapt to the rapid changes in technology and the market context.
Specific Objectives:
The program aims to train a highly qualified workforce with comprehensive capabilities to adapt and lead in the context of digital transformation and global innovation. Specifically:
PO1 (Professional Knowledge): Possess a solid foundation of knowledge in artificial intelligence, data analysis and management, integrated with economics – business and innovation to effectively solve practical problems.
PO2 (Professional Skills): Proficient in modern technological tools and platforms; capable of analyzing, deploying, and applying AI to support decision-making; develop systems thinking, critical thinking, ethics, and creativity in an interdisciplinary context.
PO3 (Qualities – Ethics – Autonomy – Creativity): Possess a sense of responsibility, professional attitude, ethical compliance, along with proactive self-learning, adaptability, and innovation; possess foreign language proficiency, digital capacity, and health to work in an international environment, develop a long-term career, and pursue higher education.
- Program Learning Outcomes
The program aims to develop learners into comprehensive experts in the field of Artificial Intelligence, capable of adapting, innovating, and leading change in the context of globalization and digital transformation.
| No. | Program Learning Outcomes | Competency Level |
|---|---|---|
| Knowledge | ||
| PLO 01 | Apply basic knowledge in general education components including politics, society, history, culture, mass communication, psychology, philosophy, logic, and social sciences – humanities in studying, researching, and working. | K3 |
| PLO 02 | Master the foundational knowledge, principles, techniques, and core tools of artificial intelligence, along with a basic understanding of innovation and economics – business, as a basis for studying and developing specialized subjects. | K3 |
| PLO 03 | Apply in-depth knowledge of artificial intelligence along with modern methods and tools to analyze and solve problems in economics and business, while proposing and implementing innovative initiatives. | K3 |
| Skills | ||
| PLO 04 | Develop critical thinking, communication skills, and an innovative spirit to analyze, solve problems, and contribute applied AI solutions in economics – business. | S3 |
| PLO 05 | Develop advanced professional skills to adapt, elevate work performance, and affirm professional capacity in the field of artificial intelligence applied to economics – business. | S3 |
| Autonomy and Responsibility | ||
| PLO 06 | Have the capacity to work independently and in multidisciplinary teams, with a sense of responsibility, critical thinking, innovation, lifelong self-learning ability, and adaptability in an international environment. | A3 |
| PLO 07 | Comply with ethical standards and social responsibility, applying artificial intelligence sustainably to contribute to businesses and the community. | A3 |
| Digital and Foreign Language Proficiency | ||
| PLO 08 | Students have the ability to communicate effectively in English in an international environment, proficiently use information technology, and achieve high digital competence, meeting the requirements of studying, researching, and working in the digital era. | S4 |
| PI 8.1 | Communicate effectively in English, achieving level 4/6 according to the Vietnamese Foreign Language Proficiency Framework. | |
| PI 8.2 | Proficient in advanced information technology skills (issued with Circular 03/2014/TT-BTTTT dated March 14, 2014, of the Ministry of Information and Communications); Digital capacity reaches level 7/8 in terms of proficiency in the competency domains of the Digital Competency Framework according to Circular No. 02/2025/TT-BGDĐT dated January 24, 2025, of the Ministry of Education and Training. | |
3. Curriculum framework
| No. | MODULE | Course Code | Credits | Prerequisite Module |
|---|---|---|---|---|
| TOTAL | 130 | |||
| 1 | GENERAL EDUCATION KNOWLEDGE | 37 | ||
| 1.1 | Political Theory | 11 | ||
| 1 | Marxist – Leninist Philosophy | TRI114 | 3 | |
| 2 | Marxism-Leninism Political Economy | TRI115 | 2 | |
| 3 | Scientific Socialism | TRI116 | 2 | TRI114 |
| 4 | Ho Chi Minh’s Ideology | TRI104 | 2 | TRI114,
TRI115 |
| 5 | History of the Communist Party of Vietnam | TRI117 | 2 | TRI114,
TRI115 |
| 1.2 | Social Sciences, Humanities – Arts, Mathematics – Informatics | 26 | ||
| 1.2.1 | Compulsory | 20 | ||
| 6 | Introduction to Law | PLU111 | 3 | |
| 7 | Linear Algebra | TOA109 | 3 | |
| 8 | Mathematical Foundations | TOA112 | 3 | |
| 9 | Research Methodology | PPH109 | 2 | |
| 10 | Microeconomics | KTE201 | 3 | |
| 11 | Macroeconomics | KTE203 | 3 | |
| 12 | Design thinking & Innovation | DTI100 | 3 | |
| 1.2.2 | Elective (Choose 2 of the following modules) | 6 | ||
| 13 | Principles of Accounting | KET201 | 3 | |
| 14 | Principles of Finance | TCH302 | 3 | |
| 15 | Digital Economics | KTE214 | 3 | |
| 16 | Science and Technology for Humanity | TRI204 | 3 | |
| 17 | Human-AI Interaction | AIB201 | 3 | |
| 18 | Computer Architecture and Principles of Operating Systems | COS200 | 3 | |
| 19 | Entrepreneurial Mindset and Ideation | QTR211 | 3 | |
| 1.3 | Supplementary Foreign Language (Students with sufficient basic English proficiency will switch to English for Specific Purposes) | |||
| 20 | Academic and Business English 1 | EAB111 | ||
| 21 | Academic and Business English 2 | EAB121 | ||
| 2 | PROFESSIONAL EDUCATION KNOWLEDGE | 75 | ||
| 2.1 | Field-specific foundational knowledge | 24 | ||
| 2.1.1 | Compulsory | 12 | ||
| 22 | Probability and Statistics for Economics and Business | TOA203 | 3 | TOA109 |
| 23 | Introduction to Computational Thinking and Programming | COS100 | 3 | TOA109 |
| 24 | Artificial Intelligence: Foundations, Techniques, and Society | AIB202 | 3 | |
| 25 | Data Structures and Algorithms | DAS100 | 3 | COS100 |
| 2.1.2 | Foreign Language – English for Specific Purposes | 6 | ||
| 26 | ESP – Technical writing and presentation | ESP237 | 3 | |
| 27 | ESP – Technology & Data Science | ESP343 | 3 | |
| 2.1.3 | Elective (Choose 2 of the following modules) | 6 | ||
| 28 | E-commerce | TMA306 | 3 | |
| 29 | Digital marketing | MKT206 | 3 | |
| 30 | Supply chain management | TMA313 | 3 | |
| 31 | Fintech and Applications | TCH406 | 3 | COS403 |
| 32 | Digital Strategy and Business Models | DAS307 | 3 | KTE201 |
| 33 | Numerical Computing Methods | TOA208 | 3 | TOA109 |
| 34 | Mathematical Optimization | TOA113 | 3 | TOA109 |
| 35 | Design and Analysis of Algorithms | TOA209 | 3 | DAS100 |
| 36 | Information Security | COS300 | 3 | |
| 2.2 | Major knowledge | 21 | ||
| 2.2.1 | Compulsory | 15 | ||
| 37 | Object-Oriented Programming | COS203 | 3 | COS100 |
| 38 | AI-Integrated Systems Analysis and Design | AIB203 | 3 | |
| 39 | Data Management and Analytics | COS205 | 3 | |
| 40 | Machine Learning: From Foundations to Deep Learning | AIB204 | 3 | AIB202 |
| 41 | Management of Technology | COS306 | 3 | |
| 2.2.2 | Elective (Choose 2 of the following modules) | 6 | ||
| 42 | Internet of Things | COS304 | 3 | |
| 43 | Web and Mobile Programming* | COS402 | 3 | COS203 |
| 44 | Distributed System and Blockchain Technology | COS403 | 3 | |
| 45 | Advanced Artificial Intelligence Programming | AIB301 | 3 | AIB202 |
| 46 | Computational Cognitive Science | COS308 | 3 | |
| 47 | Intro to AGI | AIB302 | 3 | AIB202 |
| 48 | Tech Startup | COS307 | 3 | |
| 2.3 | In-depth specialized knowledge | 30 | ||
| 2.3.1 | Compulsory | 18 | ||
| 49 | Quantitative method for Economics and Business | DAS202 | 3 | TOA109 |
| 50 | Computer Vision and Autonomous Robotics: Business Applications (1) | AIB303 | 3 | AIB204 |
| 51 | Business Applications of NLP and Large Language Models (2) | AIB304 | 3 | AIB204 |
| 52 | AI and Big Data in Economics, Finance, and Business (3) | AIB305/AIBE305 | 3 | AIB204 |
| 53 | Market and Social Network Data Analysis | DAS306 | 3 | MKT206 |
| 54 | AI Project Management in Economics, Finance and Business | AIB401/AIBE401 | 3 | AIB202 |
| 2.3.2 | Elective 1 of 2 tracks (Choose 4 of the following modules)* | 12 | ||
| AI System Development (Bachelor orientation – AI Product Developer) | ||||
| 55 | Mô hình xác suất đồ thị
(Probabilistic Graphical Models) |
AIE400 | 2 | |
| 56 | Optimization Modeling for Artificial Intelligence | AIB402/AIBE402 | 3 | AIB204 |
| 57 | Meta Reinforcement Learning | AIB403/AIBE403 | 3 | AIB204 |
| 58 | Machine Learning Operations (MLOps)* | AIB404/AIBE404 | 3 | COS203 |
| 59 | High Performance Scientific Computing | AIB405 | 3 | COS203 |
| 60 | Optimizing Machine Learning for Embedded System | AIB406 | 3 | AIB204 |
| Decision Making in Economics – Finance – Business (Manager orientation) | ||||
| 61 | Stochastic Models in Business Analytics | DAS402/DASE402 | 3 | TOA109 |
| 62 | Series Models for Economics and Business * | TOA206 | 3 | DAS202 |
| 63 | AI-Powered Decision Intelligence in Business & Society * | AIB407/AIBE407 | 3 | |
| 64 | Cloud-based AI Services and AutoML | AIB408/AIBE408 | 3 | |
| 65 | Transforming Business with AI and Big Data | AIB409/AIBE409 | 3 | |
| 66 | Big Data-driven Decision Systems | AIB410 | 3 | |
| 3 | Practical and internship modules (Internship) | 9 | ||
| 67 | i-AIDE 1_Critical Thinking and Skills Development | AIB111 | 3 | |
| 68 | i-AIDE 2_Applied AI Capstone | AIB211 | 3 | |
| 69 | i-AIDE 3_Optimization in Economics and Business Project | AIB311 | 3 | |
| 4 | Graduation modules | 9 | ||
| 70 | i-AIDE 4_Graduation Thesis: Creative Project in Applied AI | AIBH411/AIBE411 | 9 |
Notes:
* Core modules that must be taken when choosing a specialized track.
** The 2nd foreign language of the training program (choose one of the languages: English/ Chinese/ Japanese/ French/ Spanish). After completing the 2nd foreign language modules, students will achieve level 3/6 according to Vietnam’s 6-level Foreign Language Proficiency Framework under Circular No. 01/2014/TT-BGDDT. The study results of the 2nd foreign language are not included in the cumulative grade point average and are not a condition for assessing the achievement of the training program’s learning outcomes. The study results are recorded and attached to the student’s Academic Transcript.