12th Passed (10+2) with Physics, Chemistry, and Biology / Mathematics from a recognized board.
Program Overview
The B.Sc. (Hons) in Bioinformatics is an interdisciplinary undergraduate program that integrates biology, computer science, and data analytics to understand and analyze biological data.
The program focuses on areas such as genomics, proteomics, computational biology, and data-driven life sciences research. Students learn how to use computational tools and software to analyze biological sequences, study genetic information, and solve complex biological problems.
The curriculum provides a strong foundation in molecular biology, biochemistry, programming, and statistical analysis. Students are trained in bioinformatics tools, database management, and data visualization techniques used in modern biological research.
With a blend of theoretical knowledge and practical exposure through lab work, projects, and research-based learning, students develop the skills required to work in biotechnology companies, pharmaceutical industries, healthcare research, and data-driven life sciences domains.
Programme Educational Objectives (PEOs)
PEO-1
Develop strong foundational knowledge in biology, computational sciences, and data analysis.
PEO-2
Equip students with practical skills in bioinformatics tools, programming, and database management.
PEO-3
Enable students to analyze biological data and solve real-world problems in life sciences.
PEO-4
Promote research, innovation, and ethical practices in biotechnology and computational biology.
PEO-5
Prepare students for higher education and careers in bioinformatics, biotechnology, and related fields.
Programme Outcomes (POs)
POs-1
Scientific Knowledge: Apply knowledge of biology, chemistry, and computational sciences to analyze biological systems.
POs-2
Data Analysis: Analyze biological datasets using computational and statistical tools.
POs-3
Programming Skills: Use programming languages and software tools for bioinformatics applications.
POs-4
Research Skills: Conduct research and interpret biological data effectively.
POs-5
Problem Solving: Identify and solve complex biological and computational problems.
POs-6
Communication: Present scientific findings effectively through reports and presentations.
POs-7
Ethics: Understand ethical considerations in biological research and data handling.
POs-8
Lifelong Learning: Adapt to emerging technologies in bioinformatics and life sciences.
Programme Specific Outcomes (PSOs)
PSO-1
Analyze genomic and proteomic data using bioinformatics tools.
PSO-2
Work with biological databases and perform sequence analysis.
PSO-3
Apply computational techniques in drug discovery and genetic research.
PSO-4
Integrate biology and data science to solve real-world problems.
About