GENERAL OBJECTIVES
The program aims to train Bachelor’s degree graduates in Computer Science (CS), specializing in Artificial Intelligence (AI – Artificial Intelligence) and Data Science (DS – Data Science), hereinafter referred to as AD, who possess strong character and professional competencies to meet the practical needs of society; have the ability to analyze, design, develop, and deploy modern AI – Data systems that meet the requirements of the digital economy, digital society, and the Fourth Industrial Revolution; are capable of organizing, performing, and applying creativity to work related to the AD specializations; and are capable of pursuing further study and research at higher levels. The academic program is designed with a talent-oriented, excellence-oriented, and internationally integrated approach.
The academic program aims to:
a) Equip students with advanced foundational knowledge of mathematics, probability and statistics, and computer science; and in-depth knowledge of Artificial Intelligence and Data Science, including machine learning, deep learning, natural language processing, computer vision, big data, and MLOps;
b) Develop students’ research capabilities, algorithmic thinking, and data thinking, enabling them to design, deploy, optimize, and operate AI – Data systems in real-world and enterprise environments;
c) Foster academic, foreign language, scientific, cultural, and social competencies, while promoting initiative, soft skills, and entrepreneurship and innovation capabilities, enabling students to become core AI – Data human resources who can quickly adapt to changes in global technology.
SPECIFICS OBJECTIVES
Graduates of the Bachelor’s talent program in Artificial Intelligence and Data Science (AD) are expected to demonstrate the following:
- PO1. Possess basic knowledge of social sciences, sustainable development, politics and law, and national defense and security; possess solid and advanced foundational knowledge in Computer Science, while mastering in-depth knowledge of Artificial Intelligence and Data Science, including mathematics for AI and DS, probability and statistics, machine learning, deep learning, big data, generative AI, and modern AI methods and technologies; understand advanced application areas of Artificial Intelligence and Data Science and global development trends; and have an overall understanding of the market, context, functions, and professional requirements in the fields of Artificial Intelligence and Data Science.
- PO2. Be able to work as a core professional member of development, deployment, and research teams in the fields of Artificial Intelligence and Data Science; participate in problem analysis, model design, and the selection of algorithms, techniques, and technologies appropriate to development trends and practical requirements; solve complex technical problems related to AI and DS; identify technology trends, user requirements, and application contexts; plan, implement, evaluate, and improve solutions; participate in implementation management and adapt to changes within assigned responsibilities; and understand and comply with State policies and regulations related to digital technology, data, and artificial intelligence.
- PO3. Demonstrate proficiency in advanced professional skills and 21st-century soft skills, including mathematical thinking and data thinking, algorithmic thinking, critical thinking, and systems thinking; teamwork, research, and problem-solving skills; effective use of modern AI – DS tools, platforms, and ecosystems; and the ability to work in a global environment. At the same time, possess knowledge, thinking skills, and experience in innovation and technology entrepreneurship in the fields of AI & DS.
- PO4. Use English effectively in learning, research, and work; and be able to use a second foreign language for everyday communication and in multicultural learning and working environments.
- PO5. Demonstrate professional ethics, integrity, and a high level of discipline in learning, research, and work; be dynamic and creative, with an eagerness to progress and a commitment to continuous learning; be capable of self-directed learning, independent research, and improving professional qualifications after graduation; be prepared to pursue postgraduate programs; and demonstrate professional attitudes and behaviors, with the ability to formulate ideas, design, implement, and operate AI – Data systems in enterprise, organizational, and social contexts.
CAREER OPPORTUNITIES
Graduates specializing in Artificial Intelligence and Data Science have diverse career opportunities, including the following typical positions:
- AI Engineer/Machine Learning Engineer: Design, train, deploy, and optimize AI models in real-world systems;
- Data Scientist: Analyze big data, develop predictive models, and support strategic decision-making;
- Research Engineer/AI Researcher: Participate in AI research teams at enterprises, research institutes, and R&D departments;
- Computer Vision Engineer/NLP Engineer: Develop systems for image and video processing, natural language processing, and conversational AI;
- MLOps Engineer: Deploy, monitor, and optimize the lifecycle of AI models in production environments;
- AI Product/AI Project Specialist: Participate in the management, development, and deployment of AI – Data products;
- AI – Data technology entrepreneurship: Develop products and services based on AI, big data, and generative AI, and provide AD solution consulting services to organizations and enterprises;
- Postgraduate study and research: Pursue Master’s and Doctoral programs in AI, Data Science, and Computer Science at reputable domestic and international higher education institutions.
PROGRAM LEARNING OUTCOMES
| # | PLO Name | PLO Description |
| 1 | PLO1 | Understand basic knowledge of social sciences, politics and law, national defense and security, and sustainable development, contributing to the formation of a worldview, scientific thinking, and methodology for learning, research, and the application of Artificial Intelligence and Data Science. |
| 2 | PLO2 | Understand and apply foundational knowledge of science, mathematics, probability and statistics, and commonly used development tools in Computer Science in general and Artificial Intelligence and Data Science in particular, in order to understand the professional context and effectively acquire in-depth knowledge of Artificial Intelligence and Data Science. |
| 3 | PLO3 | Apply core technological knowledge of Artificial Intelligence and Data Science, including machine learning, deep learning, big data, and modern AI methods, to design, develop, and deploy intelligent systems that meet diverse and complex practical needs. |
| 4 | PLO4 | Possess basic knowledge of planning, organizing, managing, implementing, and monitoring plans for professional tasks in the fields of Artificial Intelligence and Data Science. |
| 5 | PLO5 | Demonstrate innovative and entrepreneurial thinking; apply entrepreneurial knowledge and skills to participate in or implement a startup project, research project, or application project in the fields of Artificial Intelligence and Data Science; demonstrate creative thinking, research, analytical, critical thinking, and problem-solving skills. |
| 6 | PLO6 | Possess an intermediate level of English equivalent to Level 4 under the Vietnamese 6-Level Foreign Language Proficiency Framework, meeting the requirements for academic study and professional work; and be able to communicate in basic Japanese in learning environments and everyday communication. |
| 7 | PLO7 | Be able to communicate and give presentations to clearly present issues requiring solutions; effectively communicate knowledge, skills, analytical results, and solutions when performing specific or complex professional tasks related to Artificial Intelligence and Data Science. |
| 8 | PLO8 | Be proficient in programming and effectively use tools, libraries, simulation environments, and development platforms in the fields of Artificial Intelligence and Data Science. |
| 9 | PLO9 | Be able to update, utilize, and apply advanced tools, techniques, and technologies in Artificial Intelligence and Data Science in particular and Computer Science in general. |
| 10 | PLO10 | Develop the ability to work independently as well as effectively work in teams in academic, research, and practical environments; take individual and team responsibility when performing professional tasks; demonstrate a commitment to self-directed learning and lifelong learning and the ability to adapt to continuous changes in technology and society. |
| 11 | PLO11 | Demonstrate professional conduct, professional ethics, social responsibility, and a spirit of community service; comply with professional standards and ensure integrity in the research, development, and application of Artificial Intelligence and Data Science. |
| 12 | PLO12 | Demonstrate mental and physical strength, express national identity, and confidently integrate and work in international environments. |
| 13 | PLO13 | Be able to plan, coordinate, and manage resources related to Artificial Intelligence and Data Science projects; guide and monitor the implementation of project tasks; evaluate effectiveness and propose feasible and effective improvement measures. |
DURATION OF STUDY
9 trimesters (excluding the period for English preparation and intensive training)
TOTAL ACADEMIC CREDITS
152 credits
ADMISSION REQUIREMENTS
In accordance with general regulations. Students who do not have the required level of English proficiency for study will undertake a period of English preparation before entering the academic program.
TRAINING PROCESS AND GRADUATION REQUIREMENTS
In accordance with the regulations of FPT University.
GRADING SCALE
10-point scale, converted to letter grades.