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    Scholarships & exams

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

    Duration

    4 Years

    Bachelor of Technology in Engineering

    G L A University Mathura
    Duration
    4 Years
     Engineering UG OFFLINE

    Duration

    4 Years

    Bachelor of Technology in Engineering

    G L A University Mathura
    Duration
    Apply

    Fees

    ₹8,00,000

    Placement

    94.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹12,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Engineering
    UG
    OFFLINE

    Fees

    ₹8,00,000

    Placement

    94.0%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹12,00,000

    Seats

    600

    Students

    1,200

    ApplyCollege

    Seats

    600

    Students

    1,200

    Curriculum

    Course Structure Overview

    The engineering curriculum at G L A University Mathura is designed to provide a balanced mix of foundational knowledge, core technical skills, and specialized electives. The program spans eight semesters, with each semester structured to build upon the previous one. Students are required to complete a minimum of 160 credits over the course duration.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    IENG101Engineering Mathematics I3-1-0-4-
    IENG102Physics for Engineers3-1-0-4-
    IENG103Chemistry for Engineers3-1-0-4-
    IENG104Computer Programming2-1-2-5-
    IENG105Engineering Graphics2-1-2-5-
    IENG106English for Engineers3-0-0-3-
    IIENG201Engineering Mathematics II3-1-0-4ENG101
    IIENG202Electrical Circuits and Networks3-1-0-4-
    IIENG203Mechanics of Materials3-1-0-4-
    IIENG204Signals and Systems3-1-0-4ENG101
    IIENG205Introduction to Programming2-1-2-5ENG104
    IIIENG301Thermodynamics3-1-0-4ENG201
    IIIENG302Fluid Mechanics3-1-0-4-
    IIIENG303Digital Logic Design3-1-0-4ENG205
    IIIENG304Probability and Statistics3-1-0-4ENG101
    IIIENG305Data Structures and Algorithms3-1-0-4ENG205
    IVENG401Control Systems3-1-0-4ENG204
    IVENG402Electromagnetic Fields3-1-0-4ENG202
    IVENG403Manufacturing Processes3-1-0-4-
    IVENG404Computer Architecture3-1-0-4ENG303
    VENG501Embedded Systems3-1-0-4ENG404
    VENG502Machine Learning3-1-0-4ENG304
    VENG503Power Systems3-1-0-4ENG202
    VENG504Advanced Mathematics3-1-0-4ENG201
    VENG505Project Management3-1-0-4-
    VIENG601Advanced Control Systems3-1-0-4ENG401
    VIENG602Neural Networks3-1-0-4ENG502
    VIENG603Power Electronics3-1-0-4ENG503
    VIENG604Research Methodology3-1-0-4-
    VIIENG701Capstone Project I2-0-4-6-
    VIIIENG801Capstone Project II2-0-4-6ENG701

    Advanced Departmental Electives

    The department offers a wide range of advanced elective courses that allow students to explore specialized areas of interest and gain deeper insights into their chosen fields:

    • Deep Learning and Neural Networks: This course delves into the architecture of deep neural networks, including convolutional networks, recurrent networks, and transformers. Students learn to implement models using frameworks like TensorFlow and PyTorch.
    • Internet of Things (IoT) and Embedded Systems: Focused on designing and developing IoT applications, this course covers sensor integration, wireless communication protocols, and real-time data processing techniques.
    • Renewable Energy Technologies: Students study solar energy systems, wind turbines, and energy storage solutions, with hands-on projects involving renewable energy installation and efficiency analysis.
    • Cybersecurity Fundamentals: This course explores cryptographic algorithms, network security, and digital forensics. It prepares students to protect critical infrastructure from cyber threats.
    • Robotics and Automation: Covering robot kinematics, control systems, and sensor integration, this course enables students to design autonomous robots for industrial applications.
    • Advanced Manufacturing Processes: This course focuses on additive manufacturing, precision machining, and automation in production environments.
    • Transportation Systems Engineering: Students analyze traffic flow models, transportation planning, and infrastructure design using simulation tools.
    • Biomedical Instrumentation: Combines engineering principles with medical applications to design diagnostic devices and monitoring systems.

    Project-Based Learning Philosophy

    The philosophy of project-based learning at G L A University Mathura emphasizes experiential education, where students are encouraged to apply theoretical knowledge in practical scenarios. Projects are assigned based on real-world challenges and industry requirements, ensuring relevance and impact.

    Mini-projects are conducted throughout the program, typically lasting 4–6 weeks, allowing students to work on small-scale applications or research problems. These projects are evaluated based on innovation, technical execution, teamwork, and presentation skills.

    The final-year thesis/capstone project is a major component of the curriculum, requiring students to undertake an in-depth study or design a significant solution to a complex problem. Students select their projects in consultation with faculty mentors who guide them through the research process, from literature review to prototype development and final presentation.