Comprehensive Course Structure Across 8 Semesters
| Semester | Course Code | Full Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | BIO101 | Introduction to Biology | 3-0-0-3 | - |
| 1 | MAT101 | Calculus I | 3-0-0-3 | - |
| 1 | CHE101 | Chemistry Fundamentals | 3-0-0-3 | - |
| 1 | PHY101 | Physics for Biotechnology | 3-0-0-3 | - |
| 1 | BIO102 | Cell Biology Lab | 0-0-4-2 | BIO101 |
| 1 | MAT102 | Linear Algebra and Differential Equations | 3-0-0-3 | MAT101 |
| 2 | BIO201 | Molecular Biology | 3-0-0-3 | BIO101 |
| 2 | CHE201 | Organic Chemistry | 3-0-0-3 | CHE101 |
| 2 | MAT201 | Statistics for Biotech | 3-0-0-3 | MAT101 |
| 2 | PHY201 | Biophysics | 3-0-0-3 | PHY101 |
| 2 | BIO202 | DNA Analysis Lab | 0-0-4-2 | BIO201 |
| 3 | BIO301 | Genetics and Genomics | 3-0-0-3 | BIO201 |
| 3 | CHE301 | Biochemistry | 3-0-0-3 | CHE201 |
| 3 | BIO302 | Protein Engineering Lab | 0-0-4-2 | BIO301 |
| 3 | CHM301 | Chemical Process Design | 3-0-0-3 | CHE201 |
| 4 | BIO401 | Bioprocessing Technology | 3-0-0-3 | BIO301 |
| 4 | CHE401 | Industrial Chemistry | 3-0-0-3 | CHE301 |
| 4 | BIO402 | Fermentation Technology Lab | 0-0-4-2 | BIO401 |
| 4 | MAT401 | Mathematical Modeling in Biotech | 3-0-0-3 | MAT201 |
| 5 | BIO501 | Drug Discovery & Development | 3-0-0-3 | BIO401 |
| 5 | CHE501 | Pharmaceutical Chemistry | 3-0-0-3 | CHE401 |
| 5 | BIO502 | Pharmacology Lab | 0-0-4-2 | BIO501 |
| 5 | MAT501 | Computational Methods in Biology | 3-0-0-3 | MAT401 |
| 6 | BIO601 | Environmental Biotechnology | 3-0-0-3 | BIO501 |
| 6 | CHE601 | Environmental Chemistry | 3-0-0-3 | CHE501 |
| 6 | BIO602 | Waste Management Lab | 0-0-4-2 | BIO601 |
| 6 | CHM601 | Sustainable Process Engineering | 3-0-0-3 | CHM301 |
| 7 | BIO701 | Stem Cell Biology | 3-0-0-3 | BIO601 |
| 7 | BIO702 | Tissue Engineering Lab | 0-0-4-2 | BIO701 |
| 7 | CHE701 | Bioprocess Control | 3-0-0-3 | CHE601 |
| 7 | MAT701 | Advanced Data Analysis | 3-0-0-3 | MAT501 |
| 8 | BIO801 | Capstone Project | 0-0-0-6 | All previous semesters |
| 8 | BIO802 | Research Internship | 0-0-0-4 | All previous semesters |
Advanced Departmental Electives
Drug Discovery & Development: This course introduces students to the entire pipeline of drug development—from early-stage discovery through clinical trials. Topics include target identification, lead optimization, formulation design, regulatory compliance, and market analysis.
Pharmacology Lab: Students learn to conduct pharmacokinetic and pharmacodynamic studies using modern analytical techniques. Emphasis is placed on understanding drug mechanisms, toxicity profiles, and therapeutic efficacy in preclinical models.
Computational Methods in Biology: This course teaches students how to apply computational tools for analyzing large-scale biological datasets, including genomic sequences, protein structures, and metabolic pathways. Software like BLAST, Clustal Omega, and Galaxy Platform are extensively used.
Bioinformatics & Genomics: Designed to bridge biology and computer science, this course covers genome assembly, annotation, comparative genomics, and evolutionary analysis using bioinformatics software suites.
Bioprocessing Technology: Students explore large-scale production methods for biopharmaceuticals, vaccines, and enzymes. The curriculum includes fermentation systems, purification techniques, downstream processing, and quality control measures.
Environmental Biotechnology: Focuses on using microorganisms to address environmental challenges such as pollution remediation, waste treatment, and carbon sequestration. Includes fieldwork and lab experiments.
Tissue Engineering Lab: Students design scaffolds and develop strategies for growing functional tissues in vitro. Techniques include 3D printing, cell culture, bioreactors, and biomaterial characterization.
Stem Cell Biology: This course covers stem cell properties, differentiation mechanisms, ethical considerations, and therapeutic applications. Hands-on lab sessions involve culturing stem cells and analyzing their behavior under various conditions.
Bioprocess Control: Students learn to model, simulate, and optimize bioprocesses using control theory principles. Case studies from industry provide practical insights into process monitoring and automation.
Regenerative Medicine: Examines the potential of regenerative therapies for treating chronic diseases and injuries. Topics include stem cell therapy, gene editing, tissue regeneration, and clinical trials.
Project-Based Learning Philosophy
The department's approach to project-based learning emphasizes active engagement, collaboration, and innovation. From the second year onward, students participate in mini-projects designed to reinforce classroom concepts through real-world applications. These projects are typically interdisciplinary, encouraging cross-functional teamwork among students from different specializations.
Mini-projects begin with problem identification and literature review, followed by hypothesis formulation and experimental design. Students are assigned mentors who guide them through data collection, analysis, and presentation phases. The final deliverables include written reports, oral presentations, and visual displays for peer review.
The capstone project in the final year is a significant undertaking that integrates all prior learning experiences. Students select a topic aligned with their interests or industry needs, propose a research plan, secure a faculty advisor, and execute an independent study over several months. Projects often result in patents, publications, or startup ideas.
Evaluation criteria include originality of approach, technical rigor, teamwork, communication skills, and adherence to scientific standards. Each project undergoes formal review by a panel of experts, ensuring quality and relevance to the field.