The curriculum provides strong foundations in molecular biology, biochemistry, genomics, transcriptomics, proteomics, systems biology, and structural bioinformatics, combined with intensive training in computer programming (C, Python, R), database development, chemoinformatics, artificial intelligence, machine learning, and data visualization. Advanced courses in drug design, immunoinformatics, biodiversity informatics, genome editing, next-generation sequencing, and IoT applications ensure exposure to emerging and industry-relevant technologies. Each semester includes hands-on laboratory components that emphasize pipeline development, algorithm implementation, data analysis, and problem-solving using real biological datasets.
The program adopts student-centric, blended, and experiential learning pedagogies, including mini-projects from early semesters, internships, and continuous internal evaluation. The final semester is dedicated entirely to a 20-credit major project/dissertation, enabling students to undertake original, application-oriented research under faculty mentorship. Graduates of the program are well-prepared for careers in pharmaceuticals, healthcare, genomics, biotech start-ups, data science, academic research, and Ph.D. programs, contributing effectively to innovation, precision medicine, and sustainable development in the life-science ecosystem.


