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    support@collegese.com
    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Biotechnology

    D A V University, Jalandhar
    Duration
    4 Years
    Biotechnology UG OFFLINE

    Duration

    4 Years

    Biotechnology

    D A V University, Jalandhar
    Duration
    Apply

    Fees

    ₹6,50,000

    Placement

    92.5%

    Avg Package

    ₹6,00,000

    Highest Package

    ₹15,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Biotechnology
    UG
    OFFLINE

    Fees

    ₹6,50,000

    Placement

    92.5%

    Avg Package

    ₹6,00,000

    Highest Package

    ₹15,00,000

    Seats

    120

    Students

    250

    ApplyCollege

    Seats

    120

    Students

    250

    Curriculum

    Comprehensive Course Listing Across 8 Semesters

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    1BIO-101Introduction to Biology3-0-0-3-
    1CHEM-102General Chemistry3-0-0-3-
    1MATH-101Calculus and Differential Equations3-0-0-3-
    1BIO-LAB-101Biology Lab0-0-2-1-
    1CHEM-LAB-101Chemistry Lab0-0-2-1-
    2BIO-201Molecular Biology3-0-0-3BIO-101, CHEM-102
    2CHEM-201Organic Chemistry3-0-0-3CHEM-102
    2MATH-201Statistics and Probability3-0-0-3MATH-101
    2BIO-LAB-201Molecular Biology Lab0-0-2-1BIO-101
    2CHEM-LAB-201Organic Chemistry Lab0-0-2-1CHEM-102
    3BIO-301Genetics and Genomics3-0-0-3BIO-201, MATH-201
    3CHEM-301Physical Chemistry3-0-0-3CHEM-201
    3BIO-302Biophysics3-0-0-3BIO-201, MATH-201
    3BIO-LAB-301Genetics Lab0-0-2-1BIO-201
    3CHEM-LAB-301Physical Chemistry Lab0-0-2-1CHEM-201
    4BIO-401Biotechnology Principles3-0-0-3BIO-301, CHEM-301
    4BIO-402Recombinant DNA Technology3-0-0-3BIO-301, BIO-302
    4BIO-403Fermentation Technology3-0-0-3BIO-401, CHEM-301
    4BIO-LAB-401Biotechnology Lab0-0-2-1BIO-401
    4BIO-LAB-402Fermentation Lab0-0-2-1BIO-403
    5BIO-501Bioprocess Engineering3-0-0-3BIO-401, BIO-403
    5BIO-502Environmental Biotechnology3-0-0-3BIO-401
    5BIO-503Pharmaceutical Biotechnology3-0-0-3BIO-402
    5BIO-LAB-501Bioprocess Lab0-0-2-1BIO-501
    5BIO-LAB-502Environmental Biotech Lab0-0-2-1BIO-502
    6BIO-601Advanced Bioinformatics3-0-0-3BIO-503, MATH-201
    6BIO-602Stem Cell Biology3-0-0-3BIO-501
    6BIO-603Plant Biotechnology3-0-0-3BIO-502
    6BIO-LAB-601Advanced Bioinformatics Lab0-0-2-1BIO-601
    6BIO-LAB-602Plant Biotech Lab0-0-2-1BIO-603
    7BIO-701Capstone Project I0-0-4-4All previous courses
    7BIO-702Mini Project0-0-4-2All previous courses
    8BIO-801Capstone Project II0-0-6-6All previous courses

    Detailed Course Descriptions for Departmental Electives

    The department offers a rich variety of advanced elective courses designed to enhance students' expertise in specialized areas of biotechnology. These courses are taught by experienced faculty members who are actively involved in research and industry collaborations.

    One such course is 'Advanced Bioinformatics', which delves into genomic data analysis, sequence alignment algorithms, and machine learning techniques applied to biological problems. Students learn to use tools like BLAST, NCBI, and Galaxy platforms to analyze large datasets and build predictive models for gene function prediction and protein structure modeling.

    'Stem Cell Biology' explores the molecular mechanisms underlying stem cell differentiation and pluripotency. Students study the role of transcription factors, signaling pathways, and epigenetic modifications in regulating stem cell fate. The course includes lab sessions on cell culture techniques, flow cytometry, and immunohistochemistry.

    'Plant Biotechnology' focuses on genetic modification of crops for improved yield, disease resistance, and nutritional value. Students learn to perform gene transformation using Agrobacterium-mediated methods, analyze transgenic plants, and evaluate their agronomic performance. The course also covers the ethical and regulatory aspects of genetically modified organisms.

    'Bioprocess Engineering' introduces students to the principles of bioreactor design, fermentation optimization, and downstream processing. Topics include mass transfer, heat transfer, sterilization, and scale-up strategies for industrial applications. Students engage in practical experiments using bench-scale bioreactors to optimize production parameters.

    'Environmental Biotechnology' addresses environmental challenges through bioremediation, waste management, and sustainable resource utilization. Students study microbial degradation of pollutants, biofilm formation, and bioelectrochemical systems. The course includes field visits to wastewater treatment plants and research labs working on environmental applications.

    'Pharmaceutical Biotechnology' covers drug discovery, development, and manufacturing processes using recombinant DNA technology. Students learn about protein expression systems, purification techniques, formulation design, and regulatory compliance. The course includes case studies of successful drug development programs and visits to pharmaceutical companies.

    'Marine Biotechnology' investigates marine organisms for biotechnological applications such as bioactive compounds and pharmaceuticals. Students study marine ecosystems, biodiversity, and the potential of marine-derived products in drug discovery and industrial applications. Laboratory sessions involve extraction and characterization of marine natural products.

    'Synthetic Biology' introduces students to the design and construction of biological systems using engineering principles. Topics include genetic circuit design, metabolic pathway engineering, and biocontainment strategies. Students work on designing synthetic constructs for specific functions such as biosensors or biocatalysts.

    'Protein Engineering' focuses on modifying proteins to enhance their stability, activity, or specificity. Students learn about site-directed mutagenesis, directed evolution, and computational protein design. The course includes hands-on experiments in protein expression and purification.

    'Computational Genomics' explores the application of computational methods to study genomes and proteomes. Students use bioinformatics tools to analyze genetic variation, evolutionary relationships, and functional genomics data. The course emphasizes practical skills in genome assembly, annotation, and comparative genomics.

    Project-Based Learning Philosophy

    The department's philosophy on project-based learning emphasizes experiential education that bridges the gap between theory and practice. Students are introduced to real-world problems early in their academic journey, allowing them to apply learned concepts to tangible situations.

    Mini-projects are conducted during the seventh semester, involving small groups of students working on specific research topics under faculty supervision. These projects typically last 12 weeks and culminate in a written report and oral presentation. The mini-project serves as a stepping stone towards the final-year thesis.

    The final-year capstone project, undertaken in the eighth semester, is a comprehensive endeavor that integrates knowledge from all previous semesters. Students select a research topic aligned with their interests and career goals, often inspired by industry needs or current scientific challenges. They work closely with faculty mentors throughout the process, receiving guidance on experimental design, data analysis, and scientific writing.

    Evaluation criteria for projects include originality of approach, technical proficiency, clarity of presentation, and contribution to the field. Students are assessed through peer reviews, faculty evaluations, and final presentations at an annual symposium where industry experts provide feedback.

    The department encourages interdisciplinary collaboration by facilitating joint projects with other departments such as Computer Science, Chemical Engineering, and Environmental Science. This approach ensures that students develop a holistic understanding of complex problems and learn to work effectively in multidisciplinary teams.