Master in Bioinformatics and Systems Biology

King Mongkut's University of Technology Thonburi (KMUTT), founded in 1960, is a leading public research university in Thailand known for engineering, technology and applied sciences. With about 15,075 students and around 570 international learners across 63 programs, KMUTT blends rigorous technical education with practical problem solving. The university's mission emphasizes innovation, sustainable development and preparing graduates to navigate fast‑evolving technological fields.

Academic life at KMUTT centers on hands‑on learning, interdisciplinary research and industry engagement. Faculty include academic leaders and practitioners who supervise advanced laboratories, research centers and applied projects. Students benefit from opportunities to work on cutting‑edge research, entrepreneurship initiatives and collaborations with local and global partners that enhance employability and real‑world impact.

Campus life supports both domestic and international students with modern facilities, career services and pathways for internships in Thailand's vibrant tech and industrial sectors. International learners find an active community, language support and connections to regional networks across ASEAN. For prospective students seeking a technology‑focused education with strong research credentials and practical industry links, KMUTT offers a dynamic environment to develop skills and launch a global career.

The Master in Bioinformatics and Systems Biology is a 2-year program that combines biology, computer science, and systems biology. It's for students with a Bachelor's degree who want to work in bioinformatics and systems biology.

This program teaches subjects like genomics, transcriptomics, proteomics, and metabolomics. Students develop practical skills through project-based learning and get to work on real-world problems in laboratories and research institutes.

Graduates can work as Bioinformatics Specialists, Systems Biologists, or Research Scientists in industries like biotechnology, agriculture, and medicine. They can also work as Data Analysts or Computational Biologists for companies, research institutions, or government agencies.