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

    Bachelor of Technology in Engineering

    Shri Kallaji Vedic Vishvavidyalaya Chittorgarh
    Duration
    4 Years
    Engineering UG OFFLINE

    Duration

    4 Years

    Bachelor of Technology in Engineering

    Shri Kallaji Vedic Vishvavidyalaya Chittorgarh
    Duration
    Apply

    Fees

    ₹12,00,000

    Placement

    94.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹12,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Engineering
    UG
    OFFLINE

    Fees

    ₹12,00,000

    Placement

    94.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹12,00,000

    Seats

    200

    Students

    800

    ApplyCollege

    Seats

    200

    Students

    800

    Curriculum

    Comprehensive Course Structure

    The engineering curriculum at Shri Kallaji Vedic Vishvavidyalaya Chittorgarh is designed to provide a strong foundation in core engineering principles while offering flexibility to explore specialized areas. The program spans eight semesters, with each semester carefully structured to build upon previous knowledge and prepare students for advanced studies and industry roles.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    1ENG101Engineering Mathematics I3-1-0-4None
    1ENG102Physics for Engineers3-1-0-4None
    1ENG103Chemistry for Engineers3-1-0-4None
    1ENG104Basic Electrical Engineering3-1-0-4None
    1ENG105Engineering Drawing2-1-0-3None
    1ENG106Computer Programming2-1-0-3None
    1ENG107Workshop Practice0-0-2-2None
    2ENG201Engineering Mathematics II3-1-0-4ENG101
    2ENG202Materials Science3-1-0-4ENG102
    2ENG203Electronics Devices3-1-0-4ENG104
    2ENG204Thermodynamics3-1-0-4ENG102
    2ENG205Engineering Mechanics3-1-0-4ENG101
    2ENG206Engineering Graphics2-1-0-3ENG105
    2ENG207Programming in C++2-1-0-3ENG106
    3ENG301Control Systems3-1-0-4ENG201
    3ENG302Signals and Systems3-1-0-4ENG201
    3ENG303Electrical Machines3-1-0-4ENG104
    3ENG304Fluid Mechanics3-1-0-4ENG204
    3ENG305Strength of Materials3-1-0-4ENG205
    3ENG306Engineering Economics3-1-0-4ENG201
    3ENG307Computer Architecture3-1-0-4ENG207
    4ENG401Machine Design3-1-0-4ENG305
    4ENG402Power Plant Engineering3-1-0-4ENG204
    4ENG403Industrial Engineering3-1-0-4ENG306
    4ENG404Operations Research3-1-0-4ENG201
    4ENG405Advanced Mathematics3-1-0-4ENG201
    4ENG406Software Engineering3-1-0-4ENG207
    4ENG407Project Management3-1-0-4ENG306
    5ENG501Advanced Control Systems3-1-0-4ENG301
    5ENG502Power Electronics3-1-0-4ENG303
    5ENG503Heat Transfer3-1-0-4ENG204
    5ENG504Advanced Fluid Mechanics3-1-0-4ENG204
    5ENG505Structural Analysis3-1-0-4ENG305
    5ENG506Environmental Engineering3-1-0-4ENG204
    5ENG507Computer Networks3-1-0-4ENG207
    6ENG601Renewable Energy Systems3-1-0-4ENG204
    6ENG602Robotics and Automation3-1-0-4ENG301
    6ENG603Biomedical Engineering3-1-0-4ENG202
    6ENG604Chemical Process Design3-1-0-4ENG204
    6ENG605Transportation Systems3-1-0-4ENG305
    6ENG606Data Science and Analytics3-1-0-4ENG201
    6ENG607Artificial Intelligence3-1-0-4ENG207
    7ENG701Advanced Machine Learning3-1-0-4ENG607
    7ENG702Cybersecurity3-1-0-4ENG607
    7ENG703Advanced Structural Design3-1-0-4ENG505
    7ENG704Advanced Materials3-1-0-4ENG202
    7ENG705Project Management3-1-0-4ENG407
    7ENG706Research Methodology3-1-0-4ENG201
    7ENG707Capstone Project0-0-6-6ENG705
    8ENG801Advanced Research Project0-0-6-6ENG706
    8ENG802Entrepreneurship3-1-0-4ENG407
    8ENG803Internship0-0-0-6ENG707

    Advanced Departmental Electives

    Students can choose from a range of advanced departmental electives that align with their interests and career goals. These courses are designed to provide in-depth knowledge and practical skills in specialized areas:

    • Advanced Machine Learning – This course explores advanced algorithms and architectures used in modern AI systems, including deep learning, reinforcement learning, and natural language processing.
    • Cybersecurity – Students will learn about network security, cryptography, and risk management, preparing them for roles in cybersecurity and digital forensics.
    • Advanced Structural Design – This course focuses on the design of complex structures under various load conditions, incorporating modern computational tools and methods.
    • Advanced Materials – Students will study the properties and applications of advanced materials, including nanomaterials, composites, and smart materials.
    • Project Management – This course provides a comprehensive overview of project management methodologies, including planning, execution, monitoring, and closure.
    • Research Methodology – Students will learn how to design and conduct research, analyze data, and present findings effectively.
    • Capstone Project – This course integrates all aspects of the engineering curriculum into a comprehensive project that addresses a real-world problem.
    • Advanced Research Project – Students will conduct independent research under faculty supervision, culminating in a thesis or publication.
    • Entrepreneurship – This course focuses on innovation, business development, and creating startups in engineering fields.
    • Internship – Students will gain hands-on experience in industry through a structured internship program.

    Project-Based Learning Philosophy

    Our program emphasizes project-based learning as a core component of education. This approach allows students to apply theoretical knowledge to real-world problems, fostering innovation and creativity. Projects are structured to include planning, execution, and evaluation phases, with regular feedback from faculty mentors.

    Mini-projects are undertaken in the early semesters, providing students with foundational experience in problem-solving and teamwork. These projects are typically completed in groups and involve a combination of theoretical analysis and practical implementation.

    The final-year thesis/capstone project is a significant component of the program, requiring students to tackle a complex engineering challenge from concept to completion. Students select projects in consultation with faculty mentors, ensuring that their work is both academically rigorous and practically relevant.