SUNGKYUNKWAN UNIVERSITY (SKKU)

Master in 융합생명공학과

Jongno-gu, South Korea 2 years Taught in English Open to international students

Why students choose this program

  • Taught in English
  • No application fee

About the Program

The Department of Convergence Biotechnology at Sungkyunkwan University (SKKU), located in Jongno-gu, South Korea, offers a master's degree that brings together molecular biology, genetic engineering, and bioprocess technology under a single interdisciplinary umbrella. Students typically study gene expression and manipulation, cell culture techniques, protein engineering, and the industrial-scale production methods used to turn laboratory discoveries into usable biological products. Because the field is described as convergence-oriented, coursework often draws on chemistry, computer science, and engineering alongside core biology, reflecting how modern biotechnology projects rarely sit inside one discipline. Graduates go on to work in pharmaceutical and biotech companies, food and agricultural science, environmental biotechnology, and diagnostic testing, while others use the degree as a foundation for doctoral research. Typical roles include research scientist, bioprocess engineer, laboratory manager, and product development specialist, particularly in Korea's growing biotechnology and biopharmaceutical sector. Training usually combines lecture-based instruction with hands-on laboratory work, culminating in an independent thesis project supervised by faculty. The program runs two years, with new students admitted in March and September of every year, and all coursework is delivered in English, making it accessible to an international cohort alongside Korean students. Students entering this program generally come from backgrounds in biology, biochemistry, chemical engineering, or related natural science fields. The convergence approach is intended to prepare graduates who can move fluidly between wet-lab biology and the computational or engineering tools increasingly used to analyze biological data, a skill set in demand across both academic and industrial biotechnology settings.

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