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Centre of
Bio Digital Intelligence
Give Wings to Your Dreams
The B.Sc. Bioinformatics (AI Integrated) program is an interdisciplinary undergraduate course designed to combine biological sciences, computer science, data analytics, and artificial intelligence for modern biological research and healthcare applications. The program provides students with foundational knowledge in molecular biology, genetics, biochemistry, programming, databases, and computational biology along with emerging AI tools used in genomics, proteomics, drug discovery, precision medicine, and biomedical data analysis.
Students gain practical exposure through laboratory work, computational projects, and industry-oriented training. The curriculum is designed to develop analytical, computational, and research skills required for solving biological problems using advanced digital technologies. The program also emphasizes ethical practices, scientific communication, innovation, and entrepreneurship to prepare graduates for higher education, research, healthcare industries, biotechnology companies, and AI-driven life science sectors.
The scope of B.Sc. Bioinformatics (AI Integrated) is growing rapidly with the increasing use of AI and computational technologies in life sciences and healthcare.
Research & Innovation Opportunities in genomics, proteomics, computational biology, and AI-driven biological research.
Healthcare & Precision Medicine Applications in disease prediction, clinical diagnostics, personalized medicine, and healthcare analytics.
Biotechnology & Pharma Career opportunities in drug discovery, molecular modeling, vaccine design, and biotech product development.
AI in Life Sciences Use of machine learning and deep learning for biological data analysis and decision-making.
Data Science & Bioinformatics Analytics Work in biological database management, big data analysis, and scientific data visualization.
Laboratory & Industrial Training Hands-on exposure through internships, research projects, and industry collaborations.
Higher Education & Research Pathways for M.Sc., MCA, MBA, Ph.D., and interdisciplinary research in Bioinformatics, AI, and Biotechnology.
Emerging Career Opportunities Growing demand in healthcare IT, agricultural biotechnology, forensic science, and biomedical startups.
NAAC A+
Recognized for academic excellence, quality education, advanced infrastructure, and outstanding student learning experience.
95%
Strong industry connections, career training, internships, and placement support helping students build successful careers.
500+
Top national and international recruiters regularly hire students across engineering, management, design, hospitality, and other programs.
| Eligibility | Candidates must have passed the 10+2 or equivalent examination with Physics, Chemistry, and Biology/Mathematics from a recognized board, securing a minimum of 50% aggregate marks. |
|---|---|
| Duration | 3 Years |
| Program Fee | 2,00,000 / Total Program |
| Admission Process | Based on CUET-UG score and/or merit basis as per university norms |
The B.Sc. Bioinformatics (AI Integrated) program spans 3 years (6 semesters) covering molecular biology, genetics, biochemistry, programming, AI/ML, genomics, proteomics, and computational biology with hands-on laboratory and project work.
The program is designed to equip students with strong analytical, computational, and biological skills required to meet the growing demand in AI-driven life sciences and healthcare industries.
Interdisciplinary Curriculum combining biology, computer science, and artificial intelligence for future-ready learning
Strong Foundation in Life Sciences & Computing with balanced theoretical and practical exposure
AI-Integrated Learning Approach focusing on real-world applications in genomics, drug discovery, and healthcare
Industry-Oriented Skill Development in Python, R, databases, machine learning, and bioinformatics tools
Hands-on Laboratory & Project Work for practical understanding of biological data analysis
Career-Oriented Training aligned with biotechnology, pharmaceutical, and healthcare industries
High Employability Scope in emerging fields like AI in healthcare, precision medicine, and biomedical analytics
Opportunities for Higher Studies & Research in India and abroad in advanced life science domains
Supportive Academic Environment at SGVU with experienced faculty and modern infrastructure
Focus on Innovation & Entrepreneurship encouraging students to develop biotech and health-tech solutions
Startup and innovation support with mentorship and incubation opportunities in bioinformatics
Global exposure through academic collaborations and international learning platforms in life sciences
Leading global corporations
Everything you need to know about the program — admissions, curriculum, placements, and more.