Chulalongkorn University is Thailand’s oldest and one of the country’s most prestigious universities. It was officially established on March 26 1917 by King Vajiravudh (Rama VI) and named after his father King Chulalongkorn (Rama V) as he initiated a policy to promote education so the country to adapt to the developing world and avoid colonization. Chulalongkorn University opened with four faculties, Medicine, Public Administration, Engineering, and Arts and Sciences and an enrollment of 380 students. The first commencement ceremony took place on October 25, 1930 when King Prajadhipok (Rama VII) conferred degrees to the first and second classes of medical students. Today, Chulalongkorn university consists of 19 faculties, 3 schools, 3 colleges and 1 institute. The University has more or less 3,000 enthusiastic, respectable, high-profile teaching staff and specialists to educate the students. The University’s 487 programs inclusive of 70 international programs cover all fields of study both traditional academic discipline and interdisciplinary studies are offered in the various faculties to approximately 36,000 students.
Academic: GPA of 3.0 or above on their studies to date
English Language:
– IELTS: 6.0
– TOEFL iBT: 80
– Duolingo English Test: 105
05 August 2024 – 13 December 2024
Applicants 2022
Applicants : 182 students
GPA : 3.05-4.00
TOEFL iBT Score : 83-96
IELTS Score : 6.5-7.5
Duolingo English Test Score : 75-145
Awardees 2022
Awardees : 6 students
GPA : 3.56-3.88
TOEFL iBT Score : –
IELTS Score : –
Duolingo English Test Score : 135-145
Applicants 2023
Regular Applicants : 105 students
GPA : 3.04-4.00
TOEFL iBT Score : –
IELTS Score : 5-7
Duolingo English Test Score : 80-150
Cofunding Applicants : 3 students
GPA : 3.51-3.67
TOEFL iBT Score : –
IELTS Score : –
Duolingo English Test Score : 120-130
Awardees 2023
Awardees : 5 students
GPA : 3.47-3.88
TOEFL iBT Score : –
IELTS Score : 7-7
Duolingo English Test Score : 135-140
Available Courses
Human anatomy and physiology explain our body structures and functions, respectively. In other words, anatomy deals with macroscopic and microscopic structures of our organs (e.g., brain, heart, lung, intestine, etc.), while physiology describes how those organs work together. The body consists of a number of atoms and molecules to form levels of organization, i.e., organelle, cell, tissue, organ and integrated body systems. For example, the brain is a part of the neural system that controls several activities, thinking, movement, blood circulation, breathing, food digestion and absorption, etc. Both anatomy and physiology also provide foundations for physicians in diagnosis and treatment of diseases as well as for innovators or entrepreneurs in various businesses pertaining to medical device, artificial intelligence (AI)-brain interface, vaccine, stem cell, drug discovery and nutraceuticals. This course is also appropriate for students who want to build a health-tech, biomedical deep-tech or biopharma startups.
Key knowledge and understanding in food and drug technology for wellbeing including nutrition and immunization, deterioration of food, food processing and preservations, food safety, food sanitation, food service, food packaging and labelling, food law and regulations, culinary art and science, sensory science, food and drug product research and development.
The course consists of two interacting components including Smart City concept and Urban development approach. The course aims to provide students the grasp of the trend and structure of smart city technology and its applications in different domains e.g. smart mobility, smart energy, smart government, smart education. The course will include: Introduction to the concept of smart city from the technology perspectives, strategy and planning approach, business opportunity, to urban policy formation; Understand the technology stack involved in smart city development and interactive roles of each stakeholders in the ecosystem; Hands-on sessions on planning and developing a practical and effective smart city development master plan; Learn the concept of city operating system and relevant Key Performance Indicators (KPI). For the urban development component, the course aims to provide basic knowledge of urban growth and evolution through a variety of historical case studies. The course explains different urban development strategies for transforming or shaping cities, the role of transportation technologies and policies (including transit-oriented development), and the growing use of smart technologies like artificial intelligence in both architectural and urban environments. The course also discusses the social consequences of automation, the inextricable bond between cities and the countryside, and the vast infrastructure required for sustainable city development.
Many dimensions of sustainability and their relationship to economic growth, and the use of national, multinational, and international political and economic mechanisms including environmental and economic incentives to further sustainable development. The inter-relationship of global economic/financial changes, employment, and working conditions; the environment in the context of globalization, technology, trade, and employment; and the importance of networks and organizational learning are examined. Mechanisms for resolving the apparent conflicts between development, environment, and employment are explored.
This course covers theories and practices associated with economic, environmental, and social transformation for sustainability, with a particular focus on business perspectives. It offers an overview of historical/ political/ social backgrounds, key concepts and theories regarding corporate approaches to sustainability, different business examples in various related industries in order for students to achieve both an in-depth knowledge and critical understanding of sustainability with varying angles. With this knowledge and understanding, students will also have opportunities to discuss multiple issues related to the course topic through group seminars, and to analyze real-life corporate sustainability projects in different fields and industries through a case-study analysis as a group project.
This project-oriented course will consist of the specification, design, implementation, integration, and testing of an IoT and Embedded System. The topics that will be covered include Embedded Systems HW, Embedded Systems SW, interfacing, com- munications, control, design technology, and validation. It should help to motivate students to put more emphasis on educa- tion in embedded systems by integrating knowledge from many different areas. Students will work in groups of two to design, implement, and test a small Embedded System.
This course provides a comprehensive introduction to the fields of machine learning. It covers basic machine learning both supervised and unsupervised learning theory. It is aimed at advanced undergraduates and assumes no previous knowledge of machine learning concepts and knowledge. Students will learn basic algorithms and models in machine learning, such as linear regression, logistic regression, multi-class classifications, support vector machines, and neural networks, etc. The course will also cover some basic concepts and technologies in deep learning, such as algorithms of feedforward, back propagation and stochastic gradient descent (SGD), and basic architectures of deep neural networks, such as CNN, RNN, LSTM, and others. It might optionally cover very basic concepts in reinforcement learning.
Design, implementation, and evaluation of secured system; Able to differentiate between secured and unsecured system; Techniques for achieving and assessing security in computer systems such as multi-user, distributed computer system, blockchain and APIs; physical security; biometrics; information flow models; cryptography; public-key and private-key concepts; authentication; security in electronic money and bitcoins; virus and malware; firewall; secure web browsers.
In a contemporary world greatly influenced by innovative technologies, it is critical for both innovators and firms to strategically manage their intellectual assets such as corporate data, users’ data, technological know-hows, trademarks, industrial designs, inventions, and contractual agreements. The course aims to achieve a thorough study on theory and practice of intellectual property (IP) and Data Security Management. It covers key concepts, various strategies, and their strengths and weaknesses in IP and data security management. In addition, by critically reviewing a number of actual cases, students will learn practical knowledge that can be applied in real life. Lastly, through group project activities, the course offers an opportunity for students to draft and present IP management plans for products and services of their own.
Learn how to communicate with and manage partners, customers, and users in the business sector, government, NGOs, community organizations and the general public. The course will introduce you to methods like online platforms, text messaging, pop-up events, and other strategies to help get input and feedback from stakeholders. Students will also learn how psychology influences decisions about design and marketing, customer and user behavior.