B.Tech in Biotechnology & AI

B.Tech Biotechnology & AI

The B.Tech. Biotechnology and Artificial Intelligence (AI) program integrates core biotechnology principles with artificial intelligence, machine learning, computational biology, and data-driven approaches to address challenges in healthcare, agriculture, industry, and environmental sustainability. The curriculum provides a strong foundation in molecular biology, genetics, bioprocess engineering, programming, and AI-enabled biological data analysis. Through interdisciplinary coursework, laboratory training, industry internships, and research projects, students develop competencies in intelligent biological systems, drug discovery, precision medicine, and biotechnological innovation, preparing them for careers in biotechnology, AI-driven life sciences industries, research, and entrepreneurship.

PEO 1 : Professional Competence: Establish successful careers in biotechnology, biopharmaceuticals, healthcare, computational biology, and AI-driven life sciences industries by applying interdisciplinary knowledge and technical competencies.
PEO 2 : Research and Innovation: Contribute to research, technological innovation, and advanced problem-solving by integrating biotechnology with artificial intelligence, machine learning, and computational approaches.
PEO 3 : Higher Education and Lifelong Learning: Pursue higher education, specialized training, and continuous professional development in biotechnology, artificial intelligence, and allied interdisciplinary fields.
PEO 4: Entrepreneurship and Societal Responsibility: Demonstrate entrepreneurial thinking, ethical responsibility, leadership, and commitment to developing sustainable biotechnological solutions addressing societal, industrial, healthcare, and environmental challenges.

PO1: Engineering Knowledge: Apply knowledge of mathematics, natural sciences, biotechnology, computing, and engineering fundamentals to solve complex biotechnological problems.
PO2: Problem Analysis: Identify, formulate, and analyze complex problems in biological and engineering systems using scientific principles, computational methods, and evidence-based reasoning.
PO3: Design/Development of Solutions: Design biotechnological processes, products, computational models, and AI-enabled solutions that meet specified needs while considering health, safety, societal, and environmental requirements.
PO4: Conduct Investigations of Complex Problems: Design and conduct experiments, analyze biological datasets, interpret results, and draw valid conclusions using laboratory, statistical, and computational techniques.
PO5 : Modern Tool Usage: Select and apply modern laboratory techniques, bioinformatics platforms, programming tools, AI/ML frameworks, and computational resources, recognizing their limitations.
PO6: The Engineer and Society: Evaluate the societal, legal, healthcare, and environmental implications of biotechnological and AI-based solutions and demonstrate professional responsibility.
PO7 : Environment and Sustainability: Understand the environmental impact of biotechnology and engineering practices and contribute to sustainable technological development.
PO8 : Ethics: Apply ethical principles and adhere to professional ethics, biosafety regulations, biosecurity considerations, data privacy, and responsible AI practices.
PO9: Individual and Teamwork: Function effectively as an individual and as a member or leader of multidisciplinary teams involving biotechnology, computational sciences, engineering, and healthcare.
PO10: Communication: Communicate effectively through scientific reports, technical documentation, presentations, and professional interactions with diverse audiences.
PO11: Project Management and Finance: Apply engineering management principles, project planning, resource management, and entrepreneurial skills to biotechnology and AI-related projects.
PO12: Life-long Learning: Recognize the need for independent and lifelong learning to adapt to emerging developments in biotechnology, artificial intelligence, and interdisciplinary technologies.

PSO: Biotechnology and Bioprocess Engineering
Apply principles of molecular biology, genetics, biochemistry, microbiology, and biochemical engineering to design, develop, analyze, and optimize biotechnological products and processes for healthcare, agriculture, industrial, and environmental applications.
PSO 2 : Computational Biology and Biological Data Analytics
Apply programming, bioinformatics, statistical methods, and computational approaches to analyze, interpret, and integrate genomic, transcriptomic, proteomic, and other biological datasets for understanding complex biological systems.
PSO 3: Artificial Intelligence in Biotechnology
Develop and apply machine learning, deep learning, and AI-based computational models to address biological and biomedical challenges, including drug discovery, biomolecular design, biological image analysis, precision medicine, and bioprocess optimization.
PSO 4: Interdisciplinary Research and Innovation
Integrate experimental biotechnology, computational modelling, and AI-driven approaches to develop innovative, ethical, and sustainable solutions to real-world challenges through interdisciplinary research, industry-oriented projects, and entrepreneurship.