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Fees
₹2,50,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹9,00,000
Fees
₹2,50,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹9,00,000
Seats
120
Students
1,200
Seats
120
Students
1,200
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1st Semester | BIO101 | Introduction to Biology | 3-0-2-4 | - |
| 1st Semester | CHE101 | Chemistry for Biotechnology | 3-0-2-4 | - |
| 1st Semester | MAT101 | Mathematics I | 3-0-2-4 | - |
| 1st Semester | PHY101 | Physics for Biotechnology | 3-0-2-4 | - |
| 1st Semester | BIO102 | Cell Biology | 3-0-2-4 | BIO101 |
| 1st Semester | CHM102 | Organic Chemistry | 3-0-2-4 | CHE101 |
| 1st Semester | MAT102 | Mathematics II | 3-0-2-4 | MAT101 |
| 1st Semester | PHY102 | Modern Physics | 3-0-2-4 | PHY101 |
| 1st Semester | BIO103 | Introduction to Genetics | 3-0-2-4 | BIO102 |
| 1st Semester | CHE103 | Inorganic Chemistry | 3-0-2-4 | CHE101 |
| 1st Semester | MAT103 | Statistics and Probability | 3-0-2-4 | MAT102 |
| 1st Semester | PHY103 | Electromagnetism | 3-0-2-4 | PHY102 |
| 1st Semester | BIO104 | Molecular Biology | 3-0-2-4 | BIO103 |
| 1st Semester | CHE104 | Physical Chemistry | 3-0-2-4 | CHE103 |
| 1st Semester | MAT104 | Linear Algebra | 3-0-2-4 | MAT103 |
| 1st Semester | PHY104 | Quantum Physics | 3-0-2-4 | PHY103 |
| 2nd Semester | BIO201 | Microbiology | 3-0-2-4 | BIO104 |
| 2nd Semester | CHE201 | Chemical Engineering Principles | 3-0-2-4 | CHE104 |
| 2nd Semester | MAT201 | Differential Equations | 3-0-2-4 | MAT104 |
| 2nd Semester | PHY201 | Optics and Spectroscopy | 3-0-2-4 | PHY104 |
| 2nd Semester | BIO202 | Genetics and Genomics | 3-0-2-4 | BIO104 |
| 2nd Semester | CHE202 | Biophysical Chemistry | 3-0-2-4 | CHE201 |
| 2nd Semester | MAT202 | Calculus and Numerical Methods | 3-0-2-4 | MAT201 |
| 2nd Semester | PHY202 | Thermodynamics and Statistical Physics | 3-0-2-4 | PHY201 |
| 2nd Semester | BIO203 | Protein Chemistry and Biochemistry | 3-0-2-4 | BIO202 |
| 2nd Semester | CHE203 | Chemical Kinetics and Catalysis | 3-0-2-4 | CHE202 |
| 2nd Semester | MAT203 | Linear Programming and Optimization | 3-0-2-4 | MAT202 |
| 2nd Semester | PHY203 | Biophysics | 3-0-2-4 | PHY202 |
| 2nd Semester | BIO204 | Cellular Metabolism | 3-0-2-4 | BIO203 |
| 2nd Semester | CHE204 | Industrial Chemistry | 3-0-2-4 | CHE203 |
| 2nd Semester | MAT204 | Probability and Statistics | 3-0-2-4 | MAT203 |
| 2nd Semester | PHY204 | Biological Physics | 3-0-2-4 | PHY203 |
| 3rd Semester | BIO301 | Recombinant DNA Technology | 3-0-2-4 | BIO204 |
| 3rd Semester | CHE301 | Bioreactor Design and Operation | 3-0-2-4 | CHE204 |
| 3rd Semester | MAT301 | Mathematical Modeling in Biology | 3-0-2-4 | MAT204 |
| 3rd Semester | PHY301 | Bioinstrumentation | 3-0-2-4 | PHY204 |
| 3rd Semester | BIO302 | Genetic Engineering | 3-0-2-4 | BIO301 |
| 3rd Semester | CHE302 | Bioprocess Engineering | 3-0-2-4 | CHE301 |
| 3rd Semester | MAT302 | Computational Biology | 3-0-2-4 | MAT301 |
| 3rd Semester | PHY302 | Molecular Biophysics | 3-0-2-4 | PHY301 |
| 3rd Semester | BIO303 | Biotechnology Applications in Medicine | 3-0-2-4 | BIO302 |
| 3rd Semester | CHE303 | Enzyme Technology | 3-0-2-4 | CHE302 |
| 3rd Semester | MAT303 | Machine Learning for Biology | 3-0-2-4 | MAT302 |
| 3rd Semester | PHY303 | Advanced Spectroscopy Techniques | 3-0-2-4 | PHY302 |
| 3rd Semester | BIO304 | Biotechnology in Agriculture | 3-0-2-4 | BIO303 |
| 3rd Semester | CHE304 | Bioprocessing Equipment and Systems | 3-0-2-4 | CHE303 |
| 3rd Semester | MAT304 | Data Analysis in Biotechnology | 3-0-2-4 | MAT303 |
| 3rd Semester | PHY304 | Biological Imaging Techniques | 3-0-2-4 | PHY303 |
| 4th Semester | BIO401 | Biotechnology in Environmental Applications | 3-0-2-4 | BIO304 |
| 4th Semester | CHE401 | Industrial Biotechnology | 3-0-2-4 | CHE304 |
| 4th Semester | MAT401 | Advanced Mathematical Methods in Biology | 3-0-2-4 | MAT304 |
| 4th Semester | PHY401 | Biochemical Engineering | 3-0-2-4 | PHY304 |
| 4th Semester | BIO402 | Drug Discovery and Development | 3-0-2-4 | BIO401 |
| 4th Semester | CHE402 | Bioprocess Optimization | 3-0-2-4 | CHE401 |
| 4th Semester | MAT402 | Bioinformatics Algorithms | 3-0-2-4 | MAT401 |
| 4th Semester | PHY402 | Biological Networks and Systems Biology | 3-0-2-4 | PHY401 |
| 4th Semester | BIO403 | Biotechnology in Food Industry | 3-0-2-4 | BIO402 |
| 4th Semester | CHE403 | Bioprocessing Design | 3-0-2-4 | CHE402 |
| 4th Semester | MAT403 | Advanced Data Science Techniques | 3-0-2-4 | MAT402 |
| 4th Semester | PHY403 | Advanced Biophysical Methods | 3-0-2-4 | PHY402 |
| 4th Semester | BIO404 | Biotechnology Entrepreneurship | 3-0-2-4 | BIO403 |
| 4th Semester | CHE404 | Quality Control and Assurance in Biotechnology | 3-0-2-4 | CHE403 |
| 4th Semester | MAT404 | Machine Learning in Bioinformatics | 3-0-2-4 | MAT403 |
| 4th Semester | PHY404 | Biochemical Pathways and Metabolism | 3-0-2-4 | PHY403 |
| 5th Semester | BIO501 | Advanced Molecular Biology Techniques | 3-0-2-4 | BIO404 |
| 5th Semester | CHE501 | Bioprocess Design and Scale-Up | 3-0-2-4 | CHE404 |
| 5th Semester | MAT501 | Bioinformatics Tools and Databases | 3-0-2-4 | MAT404 |
| 5th Semester | PHY501 | Advanced Spectroscopy and Imaging | 3-0-2-4 | PHY404 |
| 5th Semester | BIO502 | Regenerative Medicine and Stem Cells | 3-0-2-4 | BIO501 |
| 5th Semester | CHE502 | Bioprocessing Control and Automation | 3-0-2-4 | CHE501 |
| 5th Semester | MAT502 | Statistical Inference in Biotechnology | 3-0-2-4 | MAT501 |
| 5th Semester | PHY502 | Biological Systems Dynamics | 3-0-2-4 | PHY501 |
| 5th Semester | BIO503 | Biotechnology in Nanomedicine | 3-0-2-4 | BIO502 |
| 5th Semester | CHE503 | Bioprocessing Economics and Management | 3-0-2-4 | CHE502 |
| 5th Semester | MAT503 | Network Analysis in Biological Systems | 3-0-2-4 | MAT502 |
| 5th Semester | PHY503 | Quantum Biology and Biophysics | 3-0-2-4 | PHY502 |
| 5th Semester | BIO504 | Biotechnology in Sustainable Development | 3-0-2-4 | BIO503 |
| 5th Semester | CHE504 | Bioprocessing Regulatory Compliance | 3-0-2-4 | CHE503 |
| 5th Semester | MAT504 | Deep Learning in Genomics | 3-0-2-4 | MAT503 |
| 5th Semester | PHY504 | Biological Data Visualization and Interpretation | 3-0-2-4 | PHY503 |
| 6th Semester | BIO601 | Advanced Genetic Engineering | 3-0-2-4 | BIO504 |
| 6th Semester | CHE601 | Industrial Scale Bioprocessing | 3-0-2-4 | CHE504 |
| 6th Semester | MAT601 | Bioinformatics and Computational Biology | 3-0-2-4 | MAT504 |
| 6th Semester | PHY601 | Advanced Biophysical Methods | 3-0-2-4 | PHY504 |
| 6th Semester | BIO602 | Drug Target Identification and Validation | 3-0-2-4 | BIO601 |
| 6th Semester | CHE602 | Bioprocessing Quality Management | 3-0-2-4 | CHE601 |
| 6th Semester | MAT602 | Machine Learning for Protein Folding | 3-0-2-4 | MAT601 |
| 6th Semester | PHY602 | Biochemical Pathways and Regulation | 3-0-2-4 | PHY601 |
| 6th Semester | BIO603 | Biotechnology in Personalized Medicine | 3-0-2-4 | BIO602 |
| 6th Semester | CHE603 | Bioprocessing Economics and Market Analysis | 3-0-2-4 | CHE602 |
| 6th Semester | MAT603 | Advanced Statistical Modeling in Biology | 3-0-2-4 | MAT602 |
| 6th Semester | PHY603 | Biological Systems Modeling and Simulation | 3-0-2-4 | PHY602 |
| 6th Semester | BIO604 | Biotechnology for Climate Change Mitigation | 3-0-2-4 | BIO603 |
| 6th Semester | CHE604 | Bioprocessing Innovation and Technology Transfer | 3-0-2-4 | CHE603 |
| 6th Semester | MAT604 | Deep Learning in Transcriptomics and Epigenomics | 3-0-2-4 | MAT603 |
| 6th Semester | PHY604 | Biological Data Mining and Knowledge Discovery | 3-0-2-4 | PHY603 |
| 7th Semester | BIO701 | Advanced Biotechnology Research Methods | 3-0-2-4 | BIO604 |
| 7th Semester | CHE701 | Bioprocessing Research and Development | 3-0-2-4 | CHE604 |
| 7th Semester | MAT701 | Bioinformatics Research and Applications | 3-0-2-4 | MAT604 |
| 7th Semester | PHY701 | Biophysical Research Techniques | 3-0-2-4 | PHY604 |
| 7th Semester | BIO702 | Biotechnology Entrepreneurship and Innovation | 3-0-2-4 | BIO701 |
| 7th Semester | CHE702 | Bioprocessing Project Management | 3-0-2-4 | CHE701 |
| 7th Semester | MAT702 | Bioinformatics Project Management | 3-0-2-4 | MAT701 |
| 7th Semester | PHY702 | Biochemical Research and Analysis | 3-0-2-4 | PHY701 |
| 7th Semester | BIO703 | Biotechnology in Public Health | 3-0-2-4 | BIO702 |
| 7th Semester | CHE703 | Bioprocessing Compliance and Ethics | 3-0-2-4 | CHE702 |
| 7th Semester | MAT703 | Bioinformatics Research Ethics and Standards | 3-0-2-4 | MAT702 |
| 7th Semester | PHY703 | Advanced Biophysical Research and Analysis | 3-0-2-4 | PHY702 |
| 7th Semester | BIO704 | Global Biotechnology Trends and Future Directions | 3-0-2-4 | BIO703 |
| 7th Semester | CHE704 | Bioprocessing Future Technologies | 3-0-2-4 | CHE703 |
| 7th Semester | MAT704 | Bioinformatics Future Technologies and Applications | 3-0-2-4 | MAT703 |
| 7th Semester | PHY704 | Biophysical Future Technologies and Research | 3-0-2-4 | PHY703 |
| 8th Semester | BIO801 | Capstone Project in Biotechnology | 3-0-2-4 | BIO704 |
| 8th Semester | CHE801 | Bioprocessing Capstone Project | 3-0-2-4 | CHE704 |
| 8th Semester | MAT801 | Bioinformatics Capstone Project | 3-0-2-4 | MAT704 |
| 8th Semester | PHY801 | Biophysical Capstone Project | 3-0-2-4 | PHY704 |
| 8th Semester | BIO802 | Advanced Capstone Research in Biotechnology | 3-0-2-4 | BIO801 |
| 8th Semester | CHE802 | Bioprocessing Advanced Research | 3-0-2-4 | CHE801 |
| 8th Semester | MAT802 | Bioinformatics Advanced Research | 3-0-2-4 | MAT801 |
| 8th Semester | PHY802 | Biophysical Advanced Research | 3-0-2-4 | PHY801 |
Departmental electives offer students the opportunity to specialize in specific areas within biotechnology. These courses are designed to provide in-depth knowledge and practical experience in emerging fields.
This course covers the principles and applications of recombinant DNA technology, including gene cloning, expression vectors, and protein purification techniques. Students will gain hands-on experience with molecular biology laboratory methods used in biotechnology research and development.
This elective focuses on the design and optimization of bioprocesses for large-scale production of pharmaceuticals, enzymes, and other biotechnological products. Topics include bioreactor design, process control, and scale-up strategies.
This course explores modern genetic engineering techniques such as CRISPR-Cas9, gene editing, and transgenic organism development. Students will learn how to manipulate genes for therapeutic and industrial applications.
This elective delves into the application of biotechnology in diagnostics, therapeutics, and personalized medicine. It covers drug discovery, clinical trials, and regulatory frameworks governing medical biotechnology products.
This course examines the structure, function, and industrial applications of enzymes. Students will study enzyme kinetics, immobilization techniques, and their use in various bioprocesses.
This elective explores the role of biotechnology in improving crop yield, disease resistance, and nutritional value. It covers genetic modification, marker-assisted selection, and sustainable farming practices.
This course addresses the application of biotechnology in environmental remediation, waste management, and pollution control. Topics include bioremediation, bioenergy production, and ecological restoration methods.
This elective focuses on computational approaches to biological problems. Students will learn bioinformatics tools, molecular modeling, and data analysis techniques for understanding complex biological systems.
This course covers the entire drug discovery pipeline from target identification to clinical trials. It includes topics such as lead optimization, formulation development, and regulatory compliance in pharmaceutical research.
This elective explores the relationship between protein structure and function at the molecular level. Students will study structural biology techniques, protein folding, and their applications in drug design and biotechnology.
This course focuses on the design and optimization of bioprocess systems for industrial applications. It includes topics such as process modeling, control strategies, and economic analysis of bioprocesses.
This elective introduces students to computational methods used in bioinformatics. Topics include sequence alignment, database searching, and algorithm development for biological data analysis.
This course prepares students for starting and managing biotechnology ventures. It covers business planning, intellectual property management, and funding strategies for biotech startups.
This elective focuses on regulatory compliance and quality assurance practices in biotechnology manufacturing. Students will learn about GMP standards, validation procedures, and risk assessment methods.
This course provides an in-depth look at modern spectroscopic techniques used in biotechnology research. It includes nuclear magnetic resonance (NMR), mass spectrometry, and fluorescence spectroscopy applications.
The department emphasizes project-based learning as a core component of the educational experience. This approach ensures that students gain practical skills and real-world insights through hands-on research and development activities.
Mini-projects are assigned throughout the program to reinforce classroom learning and develop technical competencies. These projects typically last several weeks and involve collaborative work with peers from different disciplines. Students are encouraged to explore emerging topics in biotechnology and apply theoretical concepts to practical problems.
The final-year thesis or capstone project represents a significant undertaking that integrates all aspects of the student's education. Students work closely with faculty mentors to design, execute, and present their research findings. The projects are evaluated based on originality, scientific rigor, technical execution, and presentation quality.
Faculty members play a crucial role in guiding students through their projects. They provide expertise, resources, and feedback throughout the research process. Regular meetings with mentors ensure that students stay on track and receive support when needed.
The department also encourages participation in national and international competitions such as iGEM (International Genetically Engineered Machine) to showcase innovative projects and gain exposure to global biotechnology trends. These experiences enhance students' portfolios and open doors to advanced research opportunities.
Project selection involves a careful process that matches student interests with faculty expertise and available resources. Students are encouraged to propose their own project ideas or choose from pre-defined topics suggested by faculty members. The department maintains a database of potential projects based on current research initiatives and industry needs.
