Collegese

Welcome to Collegese! Sign in →

Collegese

    Search colleges and courses

    Search and navigate to colleges and courses

    Start your journey

    Ready to find your dream college?

    Join thousands of students making smarter education decisions.

    Watch How It WorksGet Started

    Discover

    Browse & filter colleges

    Compare

    Side-by-side analysis

    Explore

    Detailed course info

    Collegese

    India's education marketplace helping students discover the right colleges, compare courses, and build careers they deserve.

    © 2026 Collegese. All rights reserved. A product of Nxthub Consulting Pvt. Ltd.

    Apply

    Scholarships & exams

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

    Duration

    4 Years

    Agriculture

    NIIT University Alwar
    Duration
    4 Years
    Agriculture UG OFFLINE

    Duration

    4 Years

    Agriculture

    NIIT University Alwar
    Duration
    Apply

    Fees

    ₹8,00,000

    Placement

    92.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹18,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Agriculture
    UG
    OFFLINE

    Fees

    ₹8,00,000

    Placement

    92.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹18,00,000

    Seats

    150

    Students

    300

    ApplyCollege

    Seats

    150

    Students

    300

    Curriculum

    Course Structure Overview

    The B.Tech Agriculture program at Niit University Alwar is designed to provide a comprehensive and progressive academic experience over four years. The curriculum is divided into eight semesters, with each semester carrying specific credit structures and course requirements that align with industry standards and global best practices in agricultural education.

    SemesterCourse CodeFull Course TitleCredit Structure (L-T-P-C)Prerequisites
    IAG101Introduction to Agriculture3-0-0-3-
    IAG102Chemistry for Agriculture3-0-0-3-
    IAG103Physics for Agriculture3-0-0-3-
    IAG104Biology for Agriculture3-0-0-3-
    IAG105Mathematics I3-0-0-3-
    IAG106Basic Soil Science3-0-0-3-
    IAG107Introduction to Crop Production3-0-0-3-
    IAG108Practical Skills in Agriculture0-0-6-2-
    IIAG201Plant Physiology3-0-0-3AG104
    IIAG202Genetics and Breeding3-0-0-3AG104
    IIAG203Entomology and Pathology3-0-0-3AG104
    IIAG204Agricultural Economics3-0-0-3-
    IIAG205Mathematics II3-0-0-3AG105
    IIAG206Agricultural Statistics3-0-0-3AG205
    IIAG207Soil Fertility and Nutrient Management3-0-0-3AG106
    IIAG208Field Work I0-0-6-2-
    IIIAG301Precision Agriculture3-0-0-3AG201, AG207
    IIIAG302Climate Change Adaptation3-0-0-3-
    IIIAG303Sustainable Farming Systems3-0-0-3-
    IIIAG304Agro-Ecosystem Modeling3-0-0-3AG206
    IIIAG305Water Management in Agriculture3-0-0-3-
    IIIAG306Biotechnology in Agriculture3-0-0-3AG202
    IIIAG307Agricultural Policy and Governance3-0-0-3-
    IIIAG308Field Work II0-0-6-2-
    IVAG401Smart Farming Systems3-0-0-3AG301
    IVAG402Agricultural Biotechnology3-0-0-3AG306
    IVAG403Post-Harvest Engineering3-0-0-3-
    IVAG404Food Processing and Safety3-0-0-3-
    IVAG405Agricultural Economics and Finance3-0-0-3AG204
    IVAG406Research Methodology3-0-0-3-
    IVAG407Entrepreneurship in Agriculture3-0-0-3-
    IVAG408Field Work III0-0-6-2-
    VAG501Specialized Elective I3-0-0-3-
    VAG502Specialized Elective II3-0-0-3-
    VAG503Agro-Information Systems3-0-0-3-
    VAG504Renewable Energy in Agriculture3-0-0-3-
    VAG505Advanced Crop Science3-0-0-3-
    VAG506Agri-Finance and Risk Management3-0-0-3-
    VAG507Advanced Soil Science3-0-0-3AG106
    VAG508Internship I0-0-0-6-
    VIAG601Specialized Elective III3-0-0-3-
    VIAG602Specialized Elective IV3-0-0-3-
    VIAG603Agri-Tech Innovation Lab0-0-6-2-
    VIAG604Data Analytics in Agriculture3-0-0-3AG206
    VIAG605Agri-Entrepreneurship Project3-0-0-3-
    VIAG606Advanced Biotechnology3-0-0-3AG402
    VIAG607Climate Resilient Farming3-0-0-3-
    VIAG608Internship II0-0-0-6-
    VIIAG701Final Year Project I0-0-12-6-
    VIIAG702Specialized Elective V3-0-0-3-
    VIIAG703Specialized Elective VI3-0-0-3-
    VIIAG704Agri-Finance and Investment3-0-0-3-
    VIIAG705Environmental Impact Assessment3-0-0-3-
    VIIAG706Research Paper Writing3-0-0-3-
    VIIAG707Capstone Thesis0-0-12-6-
    VIIAG708Professional Internship0-0-0-6-
    VIIIAG801Final Year Project II0-0-12-6-
    VIIIAG802Specialized Elective VII3-0-0-3-
    VIIIAG803Specialized Elective VIII3-0-0-3-
    VIIIAG804Final Thesis Defense0-0-0-6-
    VIIIAG805Capstone Presentation0-0-0-3-
    VIIIAG806Graduation Project0-0-12-6-

    Advanced Departmental Elective Courses

    The advanced departmental elective courses offered in the B.Tech Agriculture program at Niit University Alwar are designed to provide students with specialized knowledge and skills in cutting-edge areas of agriculture. These courses are taught by leading experts and researchers, ensuring that students receive the most up-to-date information and insights.

    Precision Agriculture

    This course explores the integration of technology in farming practices, focusing on GPS mapping, drone-based crop monitoring, sensor networks for real-time data collection, and machine learning algorithms for yield prediction. Students learn to apply these technologies to optimize irrigation, fertilization, and pest control strategies.

    Climate Change Adaptation

    This course examines the impact of climate change on agricultural productivity and develops strategies for adaptation. Topics include drought-resistant crop varieties, water conservation techniques, carbon footprint analysis, and policy frameworks for sustainable agriculture in a changing climate.

    Sustainable Farming Systems

    The focus of this course is on developing farming practices that are economically viable, environmentally sustainable, and socially responsible. Students study organic farming methods, integrated pest management, agroforestry, and soil health improvement techniques.

    Agro-Ecosystem Modeling

    This course introduces students to computational modeling techniques used in agricultural systems. Through this course, students learn how to build models that predict ecosystem dynamics, assess biodiversity impacts, and simulate long-term sustainability of farming practices.

    Water Management in Agriculture

    This course covers the principles and practices of efficient water use in agriculture, including rainwater harvesting, drip irrigation systems, groundwater management, and climate-resilient irrigation technologies.

    Biotechnology in Agriculture

    This advanced course focuses on the application of biotechnology in crop improvement, disease resistance, and biofertilizer development. Students study genetic engineering, gene editing techniques, transgenic crops, and regulatory aspects of biotechnology in agriculture.

    Agricultural Economics and Finance

    This course provides an understanding of financial concepts relevant to agriculture, including risk assessment, investment analysis, agricultural loans, insurance products, and market dynamics. Students gain practical skills in financial planning for agri-business ventures.

    Post-Harvest Engineering

    The objective of this course is to teach students about food processing techniques, packaging technologies, storage systems, and quality control measures. Students learn how to reduce post-harvest losses through proper handling, preservation, and packaging.

    Food Processing and Safety

    This course covers the principles of food safety, hygiene standards, food preservation methods, and regulatory compliance in food processing industries. Students also learn about food microbiology, chemical contamination, and quality assurance practices.

    Entrepreneurship in Agriculture

    This course prepares students to start and manage agricultural businesses. Topics include business planning, market analysis, financing options, innovation management, and leadership skills needed for agri-entrepreneurship.

    Agro-Information Systems

    This course introduces students to information technology applications in agriculture, including database management, GIS mapping, mobile apps for farmers, and digital platforms for agricultural data sharing.

    Renewable Energy in Agriculture

    The course explores the use of renewable energy sources such as solar, wind, and biogas in agricultural operations. Students learn about energy efficiency, off-grid power systems, and sustainable energy solutions for rural farming communities.

    Advanced Crop Science

    This advanced course delves into modern crop science topics such as stress physiology, biochemistry of plant growth, molecular markers, and advanced breeding techniques. Students gain in-depth knowledge about genetic diversity and crop improvement strategies.

    Agri-Finance and Risk Management

    This course focuses on financial tools and risk management strategies for agricultural enterprises. Topics include crop insurance, futures markets, hedging strategies, and financial planning for smallholder farmers.

    Advanced Soil Science

    The course covers advanced topics in soil science including soil chemistry, mineralogy, nutrient cycling, soil degradation, and remediation techniques. Students learn how to assess soil quality and develop sustainable soil management practices.

    Data Analytics in Agriculture

    This course introduces students to data analytics tools and techniques used in agriculture. Topics include big data processing, predictive modeling, machine learning algorithms, and data visualization for decision-making in farming systems.

    Project-Based Learning Philosophy

    The B.Tech Agriculture program at Niit University Alwar places a strong emphasis on project-based learning as a means of enhancing student engagement, critical thinking, and practical application of knowledge. The curriculum is structured to integrate project work throughout all four years, ensuring that students develop hands-on skills from the beginning of their academic journey.

    Mini-projects are introduced in the second year, allowing students to apply foundational concepts learned in core courses. These projects typically last 4-6 weeks and require students to work in small teams on specific agricultural challenges such as soil testing, crop yield analysis, or pest identification. The evaluation criteria for these mini-projects include technical accuracy, teamwork, presentation skills, and documentation quality.

    As students progress into the third year, they are introduced to more complex projects that require a deeper understanding of advanced concepts. These projects often involve fieldwork, data collection, and collaboration with industry partners or research institutions. Students are expected to present their findings at departmental symposiums and receive feedback from faculty members and external experts.

    The final-year thesis or capstone project is the most significant component of the program's project-based learning approach. Students select a topic related to their area of specialization, conduct independent research under the guidance of a faculty mentor, and produce a comprehensive report that demonstrates their ability to solve real-world agricultural problems. The evaluation criteria for these projects include originality, depth of analysis, methodology, contribution to the field, and presentation quality.

    Throughout the program, students are encouraged to seek out research opportunities, collaborate with peers, and engage with industry professionals. The university supports these endeavors by providing access to modern laboratories, research funding, and mentorship from experienced faculty members. This approach ensures that graduates are not only academically prepared but also practically skilled and ready to contribute meaningfully to the agricultural sector immediately upon graduation.