Course Structure Across 8 Semesters
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisite |
|---|---|---|---|---|
| 1 | AG-101 | Introduction to Agriculture | 3-0-0-3 | - |
| 1 | AG-102 | Basic Biology and Genetics | 4-0-0-4 | - |
| 1 | AG-103 | Chemistry for Agriculture | 3-0-0-3 | - |
| 1 | AG-104 | Physics for Agricultural Sciences | 3-0-0-3 | - |
| 1 | AG-105 | Mathematics for Agriculture | 4-0-0-4 | - |
| 1 | AG-106 | Basic Farming Practices | 2-0-2-3 | - |
| 2 | AG-201 | Crop Science I | 3-0-0-3 | AG-102 |
| 2 | AG-202 | Plant Physiology | 3-0-0-3 | AG-102 |
| 2 | AG-203 | Soil Science | 3-0-0-3 | - |
| 2 | AG-204 | Entomology and Plant Pathology | 3-0-0-3 | - |
| 2 | AG-205 | Introduction to Biotechnology | 3-0-0-3 | AG-102 |
| 2 | AG-206 | Field Work I | 2-0-2-3 | - |
| 3 | AG-301 | Crop Science II | 3-0-0-3 | AG-201 |
| 3 | AG-302 | Advanced Plant Physiology | 3-0-0-3 | AG-202 |
| 3 | AG-303 | Agricultural Biotechnology | 4-0-0-4 | AG-205 |
| 3 | AG-304 | Agricultural Economics | 3-0-0-3 | - |
| 3 | AG-305 | Environmental Science | 3-0-0-3 | - |
| 3 | AG-306 | Field Work II | 2-0-2-3 | AG-206 |
| 4 | AG-401 | Precision Agriculture | 3-0-0-3 | AG-301 |
| 4 | AG-402 | Data Analytics in Agriculture | 3-0-0-3 | AG-105 |
| 4 | AG-403 | Water Resources Management | 3-0-0-3 | - |
| 4 | AG-404 | Agricultural Engineering | 3-0-0-3 | - |
| 4 | AG-405 | Food Processing Technology | 3-0-0-3 | - |
| 4 | AG-406 | Field Work III | 2-0-2-3 | AG-306 |
| 5 | AG-501 | Agricultural Entrepreneurship | 3-0-0-3 | - |
| 5 | AG-502 | Climate Change Adaptation | 3-0-0-3 | - |
| 5 | AG-503 | Animal Science | 3-0-0-3 | - |
| 5 | AG-504 | Biostatistics and Research Methodology | 3-0-0-3 | AG-105 |
| 5 | AG-505 | Advanced Soil Science | 3-0-0-3 | AG-203 |
| 5 | AG-506 | Internship I | 4-0-0-4 | - |
| 6 | AG-601 | Specialized Elective I | 3-0-0-3 | - |
| 6 | AG-602 | Specialized Elective II | 3-0-0-3 | - |
| 6 | AG-603 | Specialized Elective III | 3-0-0-3 | - |
| 6 | AG-604 | Research Project | 6-0-0-6 | AG-504 |
| 6 | AG-605 | Capstone Project | 4-0-0-4 | - |
| 7 | AG-701 | Advanced Topics in Crop Production | 3-0-0-3 | - |
| 7 | AG-702 | Agri-Tech Innovations | 3-0-0-3 | - |
| 7 | AG-703 | Sustainable Farming Systems | 3-0-0-3 | - |
| 7 | AG-704 | Agri-Business Strategy | 3-0-0-3 | - |
| 7 | AG-705 | Internship II | 4-0-0-4 | AG-506 |
| 8 | AG-801 | Final Research Thesis | 8-0-0-8 | AG-604 |
Detailed Overview of Advanced Departmental Electives
Agricultural Biotechnology: This course introduces students to the principles and applications of biotechnology in agriculture. It covers genetic engineering, molecular diagnostics, bioinformatics, and regulatory frameworks for genetically modified crops. Students gain hands-on experience with laboratory techniques such as PCR, gel electrophoresis, and DNA sequencing.
Precision Agriculture: Precision agriculture uses technology to optimize crop production by collecting and analyzing data on soil conditions, weather patterns, and plant health. This course explores GPS mapping, drone-based monitoring, sensor networks, and decision support systems for precision farming. Students learn how to use software tools like ArcGIS and FieldScout to make informed agricultural decisions.
Water Resources Management: Water scarcity is a critical issue in modern agriculture. This course examines sustainable water management practices including irrigation scheduling, watershed development, rainwater harvesting, and groundwater conservation. Students study hydrological models and learn how to design efficient irrigation systems tailored to local conditions.
Agricultural Economics: Understanding economic principles is essential for effective agricultural planning. This course covers cost-benefit analysis, market structures, price formation, subsidies, and policy impacts on farming. Students analyze real-world case studies and develop skills in financial modeling for agri-businesses.
Climate Change Adaptation: Climate change poses unprecedented challenges to agriculture worldwide. This course explores adaptation strategies such as drought-resistant crops, heat-tolerant varieties, and resilient farming systems. Students examine global climate models and learn how to develop localized adaptation plans for different agro-climatic zones.
Animal Science: This elective provides an overview of animal nutrition, breeding, health management, and livestock production systems. Students study animal physiology, feed formulation, reproductive biology, and welfare standards. The course includes practical sessions in animal handling and laboratory analysis.
Data Analytics in Agriculture: Big data is revolutionizing agriculture through predictive modeling, yield forecasting, and resource optimization. This course teaches students how to collect, clean, and analyze agricultural datasets using tools like Python, R, and SQL. Students also learn about machine learning algorithms for crop prediction and pest detection.
Food Processing Technology: Post-harvest losses can be minimized through proper processing techniques. This course covers food preservation, packaging methods, quality control, and value addition in the agri-food chain. Students gain experience with industrial equipment and learn how to develop new products that meet consumer demands.
Sustainable Farming Systems: Sustainability is key to long-term agricultural productivity. This course explores organic farming, integrated pest management, crop rotation, and agroforestry systems. Students evaluate the environmental impact of different farming practices and develop sustainable alternatives for commercial agriculture.
Agri-Tech Innovations: The future of agriculture lies in technological innovation. This course highlights emerging technologies such as vertical farming, robotics, IoT sensors, drones, and smart irrigation systems. Students learn about startup ecosystems, funding mechanisms, and the role of innovation in addressing global food challenges.
Project-Based Learning Philosophy
Mata Gujri University Kishangunj believes in experiential learning that bridges theory with real-world applications. Project-based learning is central to our program, emphasizing critical thinking, collaboration, and innovation.
Mini-projects are assigned in the second and third years, allowing students to apply classroom concepts to practical scenarios. These projects typically last 6-8 weeks and require students to work in teams, conduct research, present findings, and submit detailed reports.
The final-year thesis or capstone project is a significant component of the program, lasting 12-14 weeks. Students select a topic related to their specialization, collaborate with faculty mentors, and produce original research or an innovative solution that addresses a real-world agricultural challenge.
Faculty members play a crucial role as advisors, guiding students through each phase of the project journey. Regular progress meetings, milestone reviews, and feedback sessions ensure that projects remain on track and meet academic standards.