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    Scholarships & exams

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

    Duration

    3 Years

    Diploma in Engineering

    Bishamber Sahai Diploma Engineering College
    Duration
    3 Years
    Engineering DIPLOMA OFFLINE

    Duration

    3 Years

    Diploma in Engineering

    Bishamber Sahai Diploma Engineering College
    Duration
    Apply

    Fees

    ₹1,20,000

    Placement

    92.0%

    Avg Package

    ₹3,50,000

    Highest Package

    ₹6,50,000

    OverviewAdmissionsCurriculumFeesPlacements
    3 Years
    Engineering
    DIPLOMA
    OFFLINE

    Fees

    ₹1,20,000

    Placement

    92.0%

    Avg Package

    ₹3,50,000

    Highest Package

    ₹6,50,000

    Seats

    180

    Students

    1,800

    ApplyCollege

    Seats

    180

    Students

    1,800

    Curriculum

    Comprehensive Course Structure

    The Diploma in Engineering program at Bishamber Sahai Diploma Engineering College is structured over six semesters with a carefully designed curriculum that ensures comprehensive coverage of both foundational and advanced engineering concepts. Each semester includes core courses, departmental electives, science electives, and laboratory sessions to provide students with a well-rounded educational experience.

    SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
    1st SemesterENG101English Communication Skills3-0-0-3None
    1st SemesterMAT101Mathematics I4-0-0-4None
    1st SemesterPHY101Physics I3-0-0-3None
    1st SemesterCHM101Chemistry I3-0-0-3None
    1st SemesterEG101Engineering Graphics2-0-0-2None
    1st SemesterCE101Computer Programming3-0-0-3None
    1st SemesterLAB101Basic Engineering Lab0-0-4-2None
    2nd SemesterMAT102Mathematics II4-0-0-4MAT101
    2nd SemesterPHY102Physics II3-0-0-3PHY101
    2nd SemesterCHM102Chemistry II3-0-0-3CHM101
    2nd SemesterEG102Engineering Mechanics3-0-0-3None
    2nd SemesterEC101Basic Electrical Engineering3-0-0-3None
    2nd SemesterCE102Data Structures & Algorithms3-0-0-3CE101
    2nd SemesterLAB102Basic Electrical Lab0-0-4-2None
    3rd SemesterMAT201Mathematics III4-0-0-4MAT102
    3rd SemesterMECH201Strength of Materials3-0-0-3EG102
    3rd SemesterFLUID201Fluid Mechanics3-0-0-3None
    3rd SemesterTHERM201Thermodynamics3-0-0-3MAT201
    3rd SemesterMAT202Materials Science3-0-0-3CHM102
    3rd SemesterCS201Database Management Systems3-0-0-3CE102
    3rd SemesterLAB201Mechanical Engineering Lab0-0-4-2None
    4th SemesterMAT203Mathematics IV4-0-0-4MAT201
    4th SemesterELEC201Electrical Circuits & Networks3-0-0-3EC101
    4th SemesterMECH202Manufacturing Processes3-0-0-3MECH201
    4th SemesterCIVIL201Structural Analysis3-0-0-3MAT202
    4th SemesterCS202Operating Systems3-0-0-3CS201
    4th SemesterLAB202Electrical Engineering Lab0-0-4-2ELEC201
    5th SemesterCS301Computer Architecture3-0-0-3CS202
    5th SemesterMECH301Automotive Engineering3-0-0-3MECH202
    5th SemesterELEC301Control Systems3-0-0-3ELEC201
    5th SemesterCIVIL301Transportation Engineering3-0-0-3CIVIL201
    5th SemesterCHM301Chemical Reaction Engineering3-0-0-3MAT202
    5th SemesterLAB301Advanced Engineering Lab0-0-4-2None
    6th SemesterCS401Machine Learning & AI3-0-0-3CS301
    6th SemesterMECH401Robotics & Automation3-0-0-3MECH301
    6th SemesterELEC401Power Systems3-0-0-3ELEC301
    6th SemesterCIVIL401Environmental Engineering3-0-0-3CIVIL301
    6th SemesterCHM401Biochemical Engineering3-0-0-3CHM301
    6th SemesterLAB401Capstone Project Lab0-0-4-2None

    Detailed Course Descriptions for Advanced Departmental Electives

    The department offers a variety of advanced departmental elective courses that allow students to explore specialized areas within their chosen engineering discipline. These courses are designed to provide in-depth knowledge and practical skills that align with current industry trends and future technological developments.

    Advanced topics in Computer Science Engineering include Machine Learning & AI, which explores neural networks, deep learning architectures, and artificial intelligence applications. Students engage in hands-on projects involving image recognition, natural language processing, and predictive modeling using frameworks like TensorFlow and PyTorch. The course emphasizes both theoretical foundations and practical implementation, preparing students for careers in data science, robotics, and AI research.

    In Electrical Engineering, courses such as Power Systems provide comprehensive coverage of electrical power generation, transmission, and distribution systems. Students learn about load flow analysis, stability studies, protection schemes, and renewable energy integration. The course includes laboratory sessions with simulation software like MATLAB/Simulink, enabling students to model and analyze complex power systems under various operating conditions.

    Advanced topics in Mechanical Engineering include Robotics & Automation, which covers robot kinematics, control systems, sensor integration, and industrial automation. Students work on building and programming robotic systems for specific applications such as manufacturing, healthcare, and exploration. The course emphasizes design thinking, system integration, and real-world problem-solving skills that are highly valued by industry employers.

    Civil Engineering electives focus on specialized areas such as Transportation Engineering, which explores traffic flow theory, highway design, urban transportation planning, and intelligent transportation systems. Students study modern techniques for traffic analysis, pavement design, and public transit system optimization using software tools like VISSIM and ArcGIS.

    Chemical Engineering advanced courses cover Biochemical Engineering, which integrates principles of biology and chemistry to develop innovative solutions in pharmaceuticals, biotechnology, and environmental applications. Students explore enzyme kinetics, fermentation processes, bioreactor design, and downstream processing techniques used in modern biomanufacturing facilities.

    Biomedical Engineering electives include Medical Device Design, where students learn about regulatory requirements, risk assessment, and prototyping of medical equipment. The course emphasizes human factors engineering, materials selection for biomedical applications, and compliance with FDA standards and international regulations.

    Industrial Engineering courses focus on Optimization Techniques and Supply Chain Management, providing students with tools for analyzing and improving industrial processes. Topics include linear programming, queuing theory, simulation modeling, and lean manufacturing principles that are essential for operations management roles in various industries.

    Environmental Engineering electives such as Water Treatment Technologies cover advanced techniques for water purification, wastewater treatment, and environmental monitoring systems. Students study membrane filtration, advanced oxidation processes, and sustainable water management practices while working with laboratory equipment and field sampling techniques.

    Project-Based Learning Philosophy

    The department's philosophy on project-based learning is centered around the concept of experiential education that bridges theoretical knowledge with practical application. This approach ensures that students develop critical thinking skills, teamwork abilities, and professional competencies essential for success in their careers.

    Mini-projects are introduced in the second year as part of departmental elective courses. These projects typically last 8-12 weeks and require students to apply concepts learned in class to solve real-world problems. Students work in teams of 3-5 members, with each member taking on specific roles such as project manager, technical lead, or documentation specialist.

    Project selection begins with faculty advisors presenting potential topics aligned with current industry needs and research interests. Students then choose their preferred projects based on their individual interests and career aspirations. The selection process includes a proposal submission phase where students must demonstrate feasibility, relevance, and expected outcomes of their chosen topic.

    Faculty mentors are assigned to each project group, providing guidance throughout the development process. These mentors help students navigate technical challenges, ensure project milestones are met, and provide feedback on presentations and deliverables. Regular meetings with faculty advisors ensure that projects stay on track and meet academic standards.

    The final-year thesis/capstone project represents the culmination of the student's learning experience. Students work on comprehensive projects that address significant engineering challenges or propose innovative solutions to existing problems. The project requires extensive research, design, implementation, testing, and documentation phases.

    Students are encouraged to collaborate with industry partners for their capstone projects, providing them with exposure to real-world constraints and expectations. This collaboration often leads to internship opportunities, job offers, or even startup ventures based on successful project outcomes. The final presentation includes both technical demonstration and business case development, preparing students for professional environments where engineering solutions must be economically viable and technically sound.