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Centre of
Bio Digital Intelligence
Give Wings to Your Dreams
The M.Sc. Bioinformatics (AI Integrated) program is an advanced postgraduate course designed to integrate molecular biology, computational biology, data science, and artificial intelligence for solving complex problems in modern life sciences and healthcare. The program provides in-depth knowledge of genomics, proteomics, systems biology, biostatistics, programming, databases, and advanced AI/ML techniques used in drug discovery, precision medicine, clinical informatics, and biomedical data analysis.
Students gain strong research exposure through advanced laboratory work, computational modeling, and industry-oriented projects. The curriculum is structured to develop high-level analytical, problem-solving, and research skills for innovation in biological data interpretation using cutting-edge digital technologies. It also emphasizes scientific ethics, research methodology, communication skills, and innovation, preparing graduates for careers in academia, research institutions, biotechnology industries, healthcare analytics, and AI-driven biomedical sectors.
The scope of M.Sc. Bioinformatics (AI Integrated) is wide and growing with increasing use of AI in life sciences. Graduates can work in genomics, drug discovery, clinical research, healthcare analytics, and biotechnology industries. Opportunities also exist in academic research, Ph.D. programs, and AI-driven biomedical sectors. The program prepares students for high-demand roles in research labs, pharma companies, and health-tech industries.
Advanced Scientific Research Opportunities in cutting-edge research areas such as multi-omics, structural biology, and computational genomics.
AI-Driven Biological Discovery Application of advanced AI models for understanding complex biological systems and disease mechanisms.
Clinical & Translational Bioinformatics Integration of computational tools in clinical decision-making, diagnostics, and patient data analysis.
Next-Generation Drug Development Involvement in in-silico drug screening, molecular simulation, and pharmaceutical innovation.
Biomedical Data Engineering Management and analysis of large-scale biological and clinical datasets using advanced computational tools.
Innovation in Health Technologies Contribution to development of AI-based diagnostic tools, biosensors, and digital healthcare solutions.
Academic & Research Leadership Opportunities in teaching, Ph.D. research, and leadership roles in national and international research projects.
Global Bioinformatics Careers Strong career prospects in international biotech firms, research institutes, and AI-powered healthcare industries.
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 a Bachelor’s degree in Bioinformatics, Biotechnology, Life
Sciences, Biology, Microbiology, Biochemistry, or CBZ from a recognized university
with a minimum of 50% marks.
# 5% relaxation in qualifying exam percentage will be given in case of candidates belonging to reserved category. |
|---|---|
| Duration | 2 Years (4 Semesters) |
| Program Fee | 2,00,000 / Total Program |
| Admission Process | Based on CUET-PG score and/or merit list as per university norms |
The M.Sc. Bioinformatics (AI Integrated) program spans 2 years (4 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.