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    Scholarships & exams

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

    Duration

    4 Years

    Bachelor of Mechanical Engineering

    Prashanti Institute of Technology and Science
    Duration
    4 Years
    Bachelor of Mechanical Engineering UG OFFLINE

    Duration

    4 Years

    Bachelor of Mechanical Engineering

    Prashanti Institute of Technology and Science
    Duration
    Apply

    Fees

    ₹8,18,000

    Placement

    92.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹15,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Bachelor of Mechanical Engineering
    UG
    OFFLINE

    Fees

    ₹8,18,000

    Placement

    92.0%

    Avg Package

    ₹7,50,000

    Highest Package

    ₹15,00,000

    Seats

    350

    Students

    350

    ApplyCollege

    Seats

    350

    Students

    350

    Curriculum

    Curriculum

    The curriculum of the Bachelor of Mechanical Engineering program at Prashanti Institute of Technology and Science is meticulously structured over eight semesters to ensure a progressive and comprehensive understanding of mechanical engineering principles and practices.

    Semester Course Code Course Title Credits (L-T-P-C) Pre-requisites
    I MATH101 Calculus and Differential Equations 4-0-0-4 None
    I PHYS101 Physics for Engineers 3-0-0-3 None
    I CHM101 Chemistry for Engineers 3-0-0-3 None
    I CPROG101 Computer Programming in C 2-0-2-4 None
    I EG101 Engineering Graphics and Design 2-0-2-4 None
    I MECH101 Introduction to Mechanical Engineering 2-0-0-2 None
    I MATH102 Linear Algebra and Vector Calculus 3-0-0-3 MATH101
    I PHYS102 Thermodynamics and Statistical Mechanics 3-0-0-3 PHYS101
    I MECH102 Mechanics of Solids 3-0-0-3 MECH101
    I CHM102 Materials Science and Engineering 3-0-0-3 CHM101
    I CPROG102 Object-Oriented Programming in C++ 2-0-2-4 CPROG101
    I EG102 Computer Aided Drafting (CAD) 2-0-2-4 EG101
    II MATH201 Probability and Statistics 3-0-0-3 MATH102
    II PHYS201 Fluid Mechanics and Hydraulic Machines 3-0-0-3 PHYS102
    II MECH201 Mechanics of Machines 3-0-0-3 MECH102
    II MECH202 Manufacturing Processes 3-0-0-3 MECH101
    II CPROG201 Data Structures and Algorithms 3-0-2-5 CPROG102
    II MECH203 Strength of Materials 3-0-0-3 MECH102
    II EG201 Engineering Economics and Management 2-0-0-2 None
    II MECH204 Heat Transfer 3-0-0-3 PHYS201
    II MECH205 Control Systems 3-0-0-3 MATH201
    III MECH301 Thermodynamics and Heat Transfer 3-0-0-3 MECH204
    III MECH302 Mechatronics and Automation 3-0-0-3 MECH205
    III MECH303 Advanced Manufacturing Techniques 3-0-0-3 MECH202
    III MECH304 Numerical Methods and Computational Techniques 3-0-0-3 MATH201
    III MECH305 Robotics and Control Systems 3-0-0-3 MECH205
    III MECH306 Advanced Materials and Composites 3-0-0-3 CHM102
    III MECH307 Machine Design 3-0-0-3 MECH203
    IV MECH401 Renewable Energy Systems 3-0-0-3 MECH301
    IV MECH402 Automotive Engineering 3-0-0-3 MECH201
    IV MECH403 Computational Fluid Dynamics (CFD) 3-0-0-3 PHYS201
    IV MECH404 Smart Materials and Devices 3-0-0-3 MECH306
    IV MECH405 Biomechanics and Medical Devices 3-0-0-3 MECH201
    IV MECH406 Energy Storage Systems 3-0-0-3 MECH301
    V MECH501 Finite Element Analysis (FEA) 3-0-0-3 MECH307
    V MECH502 Advanced Control Systems 3-0-0-3 MECH205
    V MECH503 Artificial Intelligence for Mechanical Systems 3-0-0-3 MECH401
    V MECH504 Systems Integration and Modeling 3-0-0-3 MECH205
    V MECH505 Project Management and Entrepreneurship 2-0-0-2 EG201
    V MECH506 Advanced Manufacturing Processes 3-0-0-3 MECH303
    V MECH507 Research Methodology and Ethics 2-0-0-2 None
    VI MECH601 Capstone Project I 4-0-0-4 MECH507
    VI MECH602 Capstone Project II 4-0-0-4 MECH601
    VI MECH603 Internship Program 2-0-0-2 None
    VI MECH604 Elective Course I 3-0-0-3 None
    VI MECH605 Elective Course II 3-0-0-3 None
    VII MECH701 Mini Project 2-0-0-2 MECH601
    VII MECH702 Advanced Elective I 3-0-0-3 MECH604
    VII MECH703 Advanced Elective II 3-0-0-3 MECH605
    VIII MECH801 Final Year Thesis/Capstone Project 6-0-0-6 MECH701

    Advanced Departmental Elective Courses

    • Artificial Intelligence for Mechanical Systems: This course introduces students to machine learning algorithms and their applications in mechanical engineering, including predictive modeling, robotics control, and smart manufacturing systems.
    • Computational Fluid Dynamics (CFD): Students learn numerical methods for solving fluid flow problems using software tools like ANSYS Fluent and OpenFOAM. The course covers turbulence modeling, heat transfer analysis, and aerodynamic design optimization.
    • Advanced Manufacturing Techniques: This elective explores advanced manufacturing processes such as additive manufacturing (3D printing), laser cutting, electron beam welding, and micro-machining technologies used in precision engineering.
    • Smart Materials and Devices: Focuses on functional materials that respond to environmental stimuli, including shape memory alloys, piezoelectric ceramics, and electroactive polymers. Applications include sensors, actuators, and adaptive structures.
    • Biomechanics and Medical Devices: Students study the mechanical behavior of biological systems and apply engineering principles to design medical devices such as prosthetics, implants, and diagnostic tools.
    • Energy Storage Systems: Covers battery technologies, supercapacitors, fuel cells, and other energy storage solutions for renewable energy integration and electric vehicles.
    • Renewable Energy Systems: Examines solar thermal collectors, wind turbines, hydroelectric systems, and bioenergy conversion processes to develop sustainable energy solutions.
    • Automotive Engineering: Focuses on vehicle dynamics, engine performance, hybrid electric vehicles, and autonomous driving technologies in modern automotive systems.
    • Systems Integration and Modeling: Teaches modeling techniques for complex mechanical systems using tools like MATLAB/Simulink, state-space representation, and system identification methods.
    • Finite Element Analysis (FEA): Provides students with skills in finite element method (FEM) for structural analysis, thermal simulation, and dynamic response prediction using commercial software packages.

    Project-Based Learning Philosophy

    Our department places a strong emphasis on project-based learning to bridge the gap between theory and practice. Projects are integrated throughout the curriculum, starting with small-scale assignments in early semesters and progressing to large, industry-aligned capstone projects in later years.

    Mini-Projects

    Mini-projects are undertaken during the second and third years of study, typically lasting 3-4 months. These projects allow students to apply concepts learned in core courses to real-world problems. Each mini-project is supervised by a faculty member and evaluated based on design methodology, implementation, presentation, and peer review.

    Final-Year Thesis/Capstone Project

    The final-year thesis/capstone project spans the entire last semester and involves working closely with industry partners or research labs. Students select their projects in consultation with faculty advisors, ensuring alignment with current technological trends and career interests. The project culminates in a formal presentation before an expert panel.

    Project Selection Process

    Students begin selecting projects during the third year by attending project showcases, reviewing faculty research areas, and participating in interest groups. Faculty mentors are assigned based on mutual compatibility and project requirements. Students may also propose independent projects with approval from relevant departments.