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Ph.D. Program

PhD Program



Computational science has been established and developed in the world since World War II with the advent of computer science. This is a multi-disciplinary field, combining traditional disciplines, computational mathematics, and computer science to model and simulate on the computer the problems and real systems in all areas. Computational Science is seen as a driving force for the economic and scientific development of the modern world. The Ph.D. program has been opened in many universities around the world such as Oxford University, Cambridge University, MIT Institute of Technology, University of California - San Diego, Seoul National University, University Tokyo, Kyoto University, New York University, Purdue University, California Technical University (USA), Kobe University, Kanazawa University, Nagoya University (Japan), Uppsala University (Sweden), ... In line with the common trend of the world and to meet the development demand of the country, Ton Duc Thang University is the pioneer in Vietnam to train high-quality human resources with a doctoral degree in Computational Science.

Ph.D. program in Computational Science

The Ph.D. program in Computational Science at Ton Duc Thang University is designed to ensure modernity and integration with similar Ph.D. programs in the world. The program is an innovative combination of computational science and data science, equipping graduate students with specialized knowledge, proficient skills in computational science, numerical simulation, applied mathematics, statistics and data science.

Applying advances and developments of Computational Science, issues previously inaccessible to traditional experimental methods can be addressed through new techniques in the algorithmic and accelerated speed of modern supercomputers.

The Ph.D. program will combine subjects from computer science, mathematical modeling, applied mathematics, artificial intelligence, parallel computing, statistics, and data analysis for developing the applied capacity of Ph.D. candidates in the simulation science and data science.

The Ph.D. program in Computational Science of Ton Duc Thang University will equip students with analytical and problem-solving skills when they are directly involved in ongoing research projects at the Institute for Computational Science. Selective subjects and doctoral dissertations will enable Ph.D. candidates to choose a flexible learning path to suit individual interests and personal goals.

Institute for Computational Science (INCOS), Ton Duc Thang University (TDTU), is looking for highly motivated candidates for Doctoral scholarships from around the world. The number of scholarships is 10 and now open for a variety of research areas and topics.  

Research areas:

The Ph.D. program in Computational Science of Ton Duc Thang university now opens for a variety of research areas and topics

  • High-Performance Computing (HPC)
  • Computational Mechanics 
  • Computation in Civil Engineering
  • Computational Mechatronics
  • Computational Physics
  • Computational Chemistry
  • Computational Material 
  • Computational Optimization
  • Artificial Intelligence

To determine the specific research directions, the Ph.D. candidate should contact and discuss with the appropriate mentor (the list of mentors is referred to tab Faculty on the website of the Ph.D. program).

Link for some specific research topics and mentors of INCOS 

International academic standards

The program is designed according to similar programs of famous universities in the world.

Facilities for teaching, scientific research is modern and meet 5 star/5 star standard of QS Star. High Performance Computing (HPC) is equipped and upgraded continuously to meet the needs of research.

Professors have been carrying out scientific research projects at all levels, having excellent international publications and academic exchanges with the international scientific community.

Extensive international cooperation in training and scientific research: international professors directly give the lecture and participate in co-supervising Ph.D. candidates.

The program focuses on training Ph.D. candidates soft skills in learning, scientific research and working independently.

Ph.D. candidates have favorable conditions to research, publish and take part in academic activities at the international level.


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