Home / School of Biological & Forensic Sciences / Department of Life Sciences / M.Sc. Bioinformatics
The M.Sc. Bioinformatics programme at Kristu Jayanti University bridges the gap between biological sciences and computational technology. It equips students with advanced skills in computational biology, genomics, proteomics, structural bioinformatics, machine learning, and data analysis. The curriculum incorporates programming skills (Python, R), bioinformatics tools, database management, next-generation sequencing analysis, and in-silico drug discovery, preparing graduates for high-demand roles in genomics, pharmaceutical research, healthcare informatics, and academic research.
With the exponential growth of biological data from genomics, proteomics, and clinical studies, bioinformatics expertise is increasingly critical. This programme positions graduates to harness computational power to decode complex biological systems, accelerate drug discovery, and contribute to personalized medicine and precision health research globally.
Advanced training in computational biology, next-generation sequencing data analysis, and structural bioinformatics.
Applying AI, machine learning and Python/R programming to analyze large-scale biological datasets.
Practical exposure to in-silico drug discovery, molecular docking, cheminformatics and pharmacogenomics.
Programme Title
M.Sc. Bioinformatics
Duration
2 Years
Study Mode
Full Time
M.Sc. Bioinformatics — semester-wise course distribution.
Review the mandatory academic qualifications and minimum score criteria required for admission.
Candidates must have completed a Bachelor's degree in Bioinformatics, Biotechnology, Microbiology, Biochemistry, Computer Science (with Biology), or allied Life Sciences with a minimum of 50% aggregate marks from a recognized university.
Looking for a programme that matches your interests?
Find Programmes by InterestTargeted competencies and practical mastery achieved by graduates throughout their academic journey.
PSO1: Apply computational methods and tools to analyze complex biological datasets including genomic, proteomic, and transcriptomic data.
PSO2: Demonstrate proficiency in programming, data management, and machine learning approaches for biological problem-solving.
PSO3: Design and execute in-silico drug discovery pipelines and molecular modeling studies with scientific rigor.
PSO4: Contribute to precision medicine, genomics, and healthcare informatics through interdisciplinary research and computational innovations.
Key strengths, experiential learning, and strategic career advantages offered by the programme.
The M.Sc. Bioinformatics programme sits at the vital intersection of biological data, computer algorithms, structural biology, and artificial intelligence, addressing the global demand for computational biologists.
At Kristu Jayanti University, the curriculum provides hands-on mastery of NGS pipeline development, molecular docking, machine learning in drug discovery, and big data genomics, supported by high-performance computational infrastructure.
Choosing this programme enables students to:
With state-of-the-art laboratory infrastructure, esteemed faculty mentorship, and active industry collaborations, graduates are empowered for leadership across research institutions, healthcare enterprises, and global academic environments.