Search and navigate to colleges and courses
Apply
Scholarships & exams
Fees
₹6,50,000
Placement
93.0%
Avg Package
₹5,50,000
Highest Package
₹12,00,000
Fees
₹6,50,000
Placement
93.0%
Avg Package
₹5,50,000
Highest Package
₹12,00,000
Seats
140
Students
280
Seats
140
Students
280
The curriculum for the B.Tech in Agriculture at Dbs Global University Dehradun is meticulously designed to ensure comprehensive academic exposure and practical skill development. It integrates foundational knowledge with specialized electives, laboratory experiments, field studies, and industry-aligned projects.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | AG101 | Introduction to Agriculture | 3-0-0-3 | - |
| 1 | AG102 | General Biology | 4-0-0-4 | - |
| 1 | AG103 | Chemistry for Agriculture | 3-0-0-3 | - |
| 1 | AG104 | Physics for Agriculture | 3-0-0-3 | - |
| 1 | AG105 | Mathematics for Agricultural Sciences | 4-0-0-4 | - |
| 1 | AG106 | Introduction to Crop Science | 3-0-0-3 | - |
| 1 | AG107 | Laboratory Practice I | 0-0-3-1 | - |
| 2 | AG201 | Crop Physiology | 3-0-0-3 | AG106 |
| 2 | AG202 | Soil Science | 3-0-0-3 | - |
| 2 | AG203 | Plant Pathology | 3-0-0-3 | - |
| 2 | AG204 | Entomology | 3-0-0-3 | - |
| 2 | AG205 | Agronomy | 3-0-0-3 | - |
| 2 | AG206 | Laboratory Practice II | 0-0-3-1 | - |
| 3 | AG301 | Agricultural Biotechnology | 3-0-0-3 | AG202 |
| 3 | AG302 | Irrigation & Water Management | 3-0-0-3 | - |
| 3 | AG303 | Agricultural Economics | 3-0-0-3 | - |
| 3 | AG304 | Environmental Science | 3-0-0-3 | - |
| 3 | AG305 | Agro-Industry | 3-0-0-3 | - |
| 3 | AG306 | Laboratory Practice III | 0-0-3-1 | - |
| 4 | AG401 | Smart Farming & Precision Agriculture | 3-0-0-3 | AG301 |
| 4 | AG402 | Climate Resilient Agriculture | 3-0-0-3 | - |
| 4 | AG403 | Post-Harvest Technology | 3-0-0-3 | - |
| 4 | AG404 | Data Analytics in Agriculture | 3-0-0-3 | - |
| 4 | AG405 | Laboratory Practice IV | 0-0-3-1 | - |
| 5 | AG501 | Advanced Plant Biotechnology | 3-0-0-3 | AG301 |
| 5 | AG502 | Genomics & Proteomics | 3-0-0-3 | - |
| 5 | AG503 | Bioinformatics Applications | 3-0-0-3 | - |
| 5 | AG504 | Nanobiotechnology in Crop Production | 3-0-0-3 | - |
| 5 | AG505 | Laboratory Practice V | 0-0-3-1 | - |
| 6 | AG601 | Agricultural Informatics | 3-0-0-3 | - |
| 6 | AG602 | Remote Sensing & GIS Applications | 3-0-0-3 | - |
| 6 | AG603 | Smart Irrigation Systems | 3-0-0-3 | - |
| 6 | AG604 | Data Analytics for Agriculture | 3-0-0-3 | - |
| 6 | AG605 | Laboratory Practice VI | 0-0-3-1 | - |
| 7 | AG701 | Agro-Industrial Engineering | 3-0-0-3 | - |
| 7 | AG702 | Agricultural Machinery Design | 3-0-0-3 | - |
| 7 | AG703 | Post-Harvest Technology | 3-0-0-3 | - |
| 7 | AG704 | Food Processing Equipment | 3-0-0-3 | - |
| 7 | AG705 | Laboratory Practice VII | 0-0-3-1 | - |
| 8 | AG801 | Capstone Project | 0-0-6-6 | All previous semesters |
| 8 | AG802 | Final Year Thesis | 0-0-3-3 | All previous semesters |
The department offers a range of advanced elective courses that allow students to specialize in areas such as biotechnology, data analytics, environmental management, and industrial engineering. These courses are designed to provide in-depth knowledge and practical skills required for research and industry applications.
This course explores molecular techniques used in plant breeding and genetic modification. Students study gene editing methods, transgenic crop development, and biotechnology commercialization strategies. The course includes laboratory sessions on DNA extraction, PCR amplification, and CRISPR-Cas9 gene editing.
This elective introduces students to genomics and proteomics technologies used in agriculture. Topics include genome sequencing, functional genomics, protein structure analysis, and bioinformatics tools. Laboratory sessions involve data analysis using specialized software and interpretation of genomic datasets.
This course focuses on applying computational methods to biological problems in agriculture. Students learn about sequence alignment, phylogenetic analysis, and genome annotation. Practical applications include identifying disease resistance genes and analyzing crop diversity patterns.
This advanced elective covers the use of nanomaterials in agriculture for improved crop productivity and environmental sustainability. Students study nano-fertilizers, nano-pesticides, and targeted delivery systems. Laboratory experiments involve synthesis and characterization of nanoparticles.
This course explores how information technology can be applied to agricultural practices. Topics include database management, data visualization, and decision support systems for farm management. Students gain hands-on experience with agricultural software and mobile apps.
This elective teaches the principles and applications of remote sensing and geographic information systems in agriculture. Students learn about satellite imagery interpretation, land cover mapping, and precision farming techniques. Practical sessions involve using GIS tools for spatial analysis.
This course focuses on modern irrigation technologies including drip irrigation, sprinkler systems, and smart controllers. Students study water efficiency, system design, and automation in irrigation management. Laboratory experiments include designing and testing irrigation setups.
This advanced elective provides students with skills in data analysis and interpretation in agricultural contexts. Topics include statistical modeling, predictive analytics, and machine learning applications. Students work on real datasets from agricultural fields to derive actionable insights.
The department emphasizes project-based learning as a core component of the educational experience. Mini-projects are integrated throughout the curriculum to encourage hands-on experimentation and critical thinking. The final-year capstone project allows students to tackle real-world problems under faculty supervision, fostering innovation and collaboration.
Mini-projects are assigned in each semester starting from the second year. These projects focus on specific aspects of agriculture such as soil analysis, pest identification, or crop yield optimization. Students work in teams to design experiments, collect data, and present findings to faculty mentors.
The final-year capstone project is a significant component of the program. Students select a research topic relevant to current agricultural challenges and develop a comprehensive solution. Projects may involve field trials, laboratory research, or computational modeling. Faculty mentors guide students through the research process from proposal development to presentation.
Students are encouraged to choose projects aligned with their interests and career goals. The department facilitates mentorship through a structured system that matches students with faculty members based on expertise and availability. Regular progress meetings ensure timely completion of projects and academic support.
