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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Bachelor of Technology in Engineering

    Rayat Bahra University, Mohali
    Duration
    4 Years
    Engineering UG OFFLINE

    Duration

    4 Years

    Bachelor of Technology in Engineering

    Rayat Bahra University, Mohali
    Duration
    Apply

    Fees

    ₹8,00,000

    Placement

    94.0%

    Avg Package

    ₹6,00,000

    Highest Package

    ₹12,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Engineering
    UG
    OFFLINE

    Fees

    ₹8,00,000

    Placement

    94.0%

    Avg Package

    ₹6,00,000

    Highest Package

    ₹12,00,000

    Seats

    250

    Students

    2,500

    ApplyCollege

    Seats

    250

    Students

    2,500

    Curriculum

    Comprehensive Course Structure

    The engineering program at Rayat Bahra University Mohali is structured over eight semesters, with each semester comprising a carefully curated mix of core courses, departmental electives, science electives, and laboratory sessions. The curriculum is designed to provide students with a strong foundation in engineering principles while allowing flexibility for specialization and personal interest exploration.

    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
    1ENG104Introduction to Engineering Design2-0-2-3None
    1ENG105Programming and Problem Solving2-0-2-3None
    1ENG106Engineering Graphics2-0-2-3None
    2ENG201Engineering Mathematics II3-1-0-4ENG101
    2ENG202Electrical Circuits and Networks3-1-0-4ENG102
    2ENG203Thermodynamics3-1-0-4ENG102
    2ENG204Fluid Mechanics3-1-0-4ENG102
    2ENG205Materials Science3-1-0-4ENG103
    2ENG206Engineering Mechanics3-1-0-4ENG101
    3ENG301Signals and Systems3-1-0-4ENG201
    3ENG302Control Systems3-1-0-4ENG202
    3ENG303Computer Architecture3-1-0-4ENG105
    3ENG304Probability and Statistics3-1-0-4ENG201
    3ENG305Design and Analysis of Algorithms3-1-0-4ENG105
    3ENG306Engineering Economics3-1-0-4ENG201
    4ENG401Advanced Mathematics3-1-0-4ENG201
    4ENG402Power Electronics3-1-0-4ENG202
    4ENG403Heat Transfer3-1-0-4ENG203
    4ENG404Manufacturing Processes3-1-0-4ENG205
    4ENG405Database Management Systems3-1-0-4ENG105
    4ENG406Project Management3-1-0-4ENG306
    5ENG501Machine Learning3-1-0-4ENG304
    5ENG502Network Security3-1-0-4ENG202
    5ENG503Renewable Energy Systems3-1-0-4ENG203
    5ENG504Biomedical Instrumentation3-1-0-4ENG202
    5ENG505Structural Analysis3-1-0-4ENG206
    5ENG506Software Engineering3-1-0-4ENG305
    6ENG601Advanced Control Systems3-1-0-4ENG302
    6ENG602Embedded Systems3-1-0-4ENG303
    6ENG603Smart Grid Technologies3-1-0-4ENG402
    6ENG604Advanced Manufacturing3-1-0-4ENG404
    6ENG605Data Mining and Analytics3-1-0-4ENG304
    6ENG606Entrepreneurship3-1-0-4ENG406
    7ENG701Research Methodology2-0-2-3ENG606
    7ENG702Advanced Topics in AI3-1-0-4ENG501
    7ENG703Cybersecurity Research3-1-0-4ENG502
    7ENG704Energy Storage Systems3-1-0-4ENG503
    7ENG705Medical Device Design3-1-0-4ENG504
    7ENG706Structural Dynamics3-1-0-4ENG505
    8ENG801Final Year Project2-0-6-6ENG701
    8ENG802Capstone Project2-0-6-6ENG702
    8ENG803Industry Internship0-0-0-6ENG801
    8ENG804Professional Ethics2-0-2-3ENG706
    8ENG805Advanced Electives3-1-0-4ENG702

    Advanced Departmental Elective Courses

    The department offers several advanced departmental elective courses that allow students to explore specialized areas within engineering. These courses are designed to provide in-depth knowledge and practical skills that align with industry trends and research needs.

    Machine Learning is a core elective that explores advanced algorithms and applications in artificial intelligence. Students learn about neural networks, deep learning frameworks, and natural language processing techniques. The course emphasizes hands-on implementation using Python and TensorFlow, preparing students for careers in AI research and development.

    Network Security is a critical elective that covers modern cybersecurity threats and defense mechanisms. Students study encryption techniques, intrusion detection systems, and secure network design. The course includes practical exercises using industry-standard tools such as Wireshark, Metasploit, and Nmap.

    Renewable Energy Systems introduces students to solar, wind, and hydroelectric power generation technologies. The course covers energy storage systems, smart grid integration, and environmental impact assessment. Students gain practical experience through laboratory experiments and case studies of real-world projects.

    Biomedical Instrumentation focuses on the design and application of medical devices and diagnostic equipment. Students study bio-sensors, signal processing, and medical imaging systems. The course includes laboratory sessions where students build and test biomedical prototypes.

    Structural Analysis provides in-depth knowledge of building and infrastructure design. Students learn about load analysis, structural modeling, and seismic design principles. The course emphasizes practical applications through software-based simulations and physical testing.

    Software Engineering covers the entire software development lifecycle, from requirements analysis to deployment. Students study agile methodologies, software architecture, and testing strategies. The course includes group projects where students develop full-scale applications using industry-standard tools.

    Advanced Control Systems explores modern control theory and applications in robotics and automation. Students study state-space representation, optimal control, and adaptive control systems. The course includes laboratory sessions with real-time control systems and simulation software.

    Embedded Systems introduces students to microcontroller programming and real-time system design. Students learn about ARM processors, real-time operating systems, and IoT applications. The course includes practical projects involving hardware-software integration.

    Smart Grid Technologies covers the integration of renewable energy sources into electrical power systems. Students study grid stability, power quality, and energy management systems. The course includes case studies of smart grid implementations in various countries.

    Advanced Manufacturing explores modern manufacturing technologies such as 3D printing, CNC machining, and automation systems. Students study process optimization, quality control, and lean manufacturing principles. The course includes hands-on experience with advanced manufacturing equipment.

    Data Mining and Analytics focuses on extracting insights from large datasets using statistical and machine learning techniques. Students learn about clustering, classification, and regression methods. The course includes practical applications using Python libraries such as scikit-learn and pandas.

    Entrepreneurship provides students with the skills and mindset needed to start and grow engineering ventures. The course covers business model development, funding strategies, and innovation management. Students work on individual projects to develop their own business ideas.

    Project-Based Learning Philosophy

    The department's philosophy on project-based learning is rooted in the belief that practical experience is essential for developing competent engineers. Projects are designed to mirror real-world challenges and require students to apply theoretical knowledge in creative and innovative ways.

    Mini-projects are assigned during the second and third years of the program. These projects typically last 4-6 weeks and involve small teams of 3-5 students. Students are required to select projects from a list provided by faculty members or propose their own ideas with faculty approval. The projects are evaluated based on technical execution, innovation, presentation quality, and team collaboration.

    The final-year thesis/capstone project is a comprehensive endeavor that spans the entire final semester. Students work individually or in teams on projects that are either industry-sponsored or research-oriented. The projects are supervised by faculty members with expertise in the relevant domain. Students must submit a detailed project report and present their work to a panel of faculty members and industry experts.

    Project selection involves a rigorous process that considers student interests, faculty expertise, and industry relevance. Students are encouraged to explore interdisciplinary projects that combine multiple engineering disciplines. The department also facilitates connections with industry partners to provide students with real-world project opportunities.

    Evaluation criteria for projects include technical merit, innovation, feasibility, documentation quality, and presentation skills. Students receive feedback throughout the project process to ensure continuous improvement and learning. The department also hosts annual project exhibitions where students showcase their work to faculty, industry professionals, and the general public.