MECHANICAL ENGINEERING (BTECH)
Overview
The B.Tech Program in Mechanical Engineering – Robotics & Automation at Marwadi University is designed to prepare engineers for the future and facilitate their success in the era of Industry 4.0. This innovative program integrates traditional mechanical engineering concepts with contemporary technologies such as Artificial Intelligence (AI), Machine Learning, Industrial Internet of Things (IoT), and Cyber-Physical Systems.
Students get extensive knowledge regarding robot kinematics, control systems, autonomous machinery, and human-robot interaction. This enables them to devise and construct intelligent automation systems for service robotics and smart manufacturing facilities. Innovation laboratories, centers of excellence, and incubator facilities on campus enhance the curriculum by providing students with practical training, research-oriented learning, and robust connections to the industry.
The curriculum equips graduates with the competencies necessary to become innovators, technopreneurs, and ethical leaders in the rapidly evolving domain of Next-Gen AI and intelligent robotics. This aligns with national initiatives such as Make in India, Digital India, and Skill India.
The program equips graduates to become innovators, technopreneurs, and ethical leaders in the rapidly changing domains of Next-Gen AI and intelligent robotics through interdisciplinary learning and practical problem-solving, in alignment with national initiatives such as Make in India, Digital India, and Skill India.
Students get extensive knowledge regarding robot kinematics, control systems, autonomous machinery, and human-robot interaction. This enables them to devise and construct intelligent automation systems for service robotics and smart manufacturing facilities. Innovation laboratories, centers of excellence, and incubator facilities on campus enhance the curriculum by providing students with practical training, research-oriented learning, and robust connections to the industry.
The curriculum equips graduates with the competencies necessary to become innovators, technopreneurs, and ethical leaders in the rapidly evolving domain of Next-Gen AI and intelligent robotics. This aligns with national initiatives such as Make in India, Digital India, and Skill India.
The program equips graduates to become innovators, technopreneurs, and ethical leaders in the rapidly changing domains of Next-Gen AI and intelligent robotics through interdisciplinary learning and practical problem-solving, in alignment with national initiatives such as Make in India, Digital India, and Skill India.
Vision
To emerge as a leading department providing competent mechanical engineers to fulfill ever changing needs of industry and society.
MISSION
To deliver quality education to the students and empower them to compete at national and global level To train students on current and advanced technologies through academic and industrial engagements To promote research and innovation through academic, infrastructural, and financial support To make students understand the impact of their work on society and practice ethical values To motivate and prepare students for higher education, employment, and entrepreneurship Program Educational Objectives (PEOS)
PEO 1: To prepare graduates for successful careers in robotics, automation, and intelligent systems by equipping them with strong technical foundations and problem-solving abilities aligned with Industry 4.0.
PEO 2: To foster innovation and research capabilities among students, enabling them to contribute to technological advancements and entrepreneurship in automation, AI, and smart manufacturing ecosystems.
PEO 3: To develop graduates who are ethically responsible, environmentally conscious, and committed to lifelong learning and societal contribution in a globalized technological landscape.
PEO 4: To enable graduates to pursue higher studies, professional certifications, or leadership roles in industry, academia, or startups by instilling effective communication, collaboration, and project management skills.
Program Specific Outcomes
PSO 1: Apply the principles of robotics, automation, control systems, and artificial intelligence to design, model, and optimize intelligent, autonomous, and collaborative systems in smart industrial environments.
PSO 2: Demonstrate the ability to integrate sensors, actuators, embedded systems, and machine learning algorithms to build real-time, cyber-physical systems using tools and technologies relevant to Industry 4.0.
Eligibility Criteria
| For Indian and International Students | ||
|---|---|---|
| As per ACPC Guidelines |
Admission Process
Through Admission Committee for Professional Courses (ACPC)
Once you generate the PIN from the bank through an online or offline process,
Once you generate the PIN from the bank through an online or offline process,
Register yourself on
Fill the Application Details
Choice Filling
Mock Rounds
(1, 2, 3..)
(1, 2, 3..)
You’re on the path to DISCOVER yourself
Reporting at College
Actual Admission and Token Fee Payment
Admission Process
Through Admission Committee for Professional Courses (ACPC) Once you generate the PIN from the bank through an online or offline process,
Register
yourself on
yourself on
Fill the
Application
Details
Application
Details
Choice
Filling
Filling
Mock
Rounds
(1, 2, 3..)
Rounds
(1, 2, 3..)
Actual
Admission
and Token
Fee Payment
Admission
and Token
Fee Payment
Reporting at
College
College
You’re on the
path to DISCOVER
yourself
path to DISCOVER
yourself
Duration and Fees Structure
The Bachelors of Technology in Mechanical Engineering with Robotics & Automation is a 4 year course comprising eight semesters
| For Indian Student (INR) | ||
|---|---|---|
| Mechanical Engineering Robotics & Automation | 4 Years | 55000/- (Per Sem) |
| For International Student (USD) | ||
|---|---|---|
| Mechanical Engineering Robotics & Automation | 4 Years | 1600/- (Annual) |
Curriculum
Mechanical Engineering with Specialization in Robotics & Automation
Sem 1
Sem 2
Sem 3
Sem 4
Sem 5
Sem 6
Sem 7
Sem 8
Sem 1
| B. Tech. Year I, Sem I | Evaluation Scheme | |||||||||||
| Subject code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 01MA2101 | Differential and Integral Calculus | BSC | 3 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01CE0101 | Computer Programming | ESC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ME1101 | Elements of Mechanical Engineering | ESC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01SL1104 | Professional Communication | HSMC | 2 | 0 | 0 | 2 | 50 | 30 | 20 | 0 | 0 | 100 |
| 01GS2101 | Engineering Physics | BSC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01EN1101 | Basics of Environmental Studies | ESC | 2 | 0 | 0 | 0 | 50 | 30 | 20 | 0 | 0 | 100 |
| 01CR1103 | Value Education | HSMC | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 50 | 100 |
| 01CR0105 | Verbal Ability-1 | HSMC | 1 | 0 | 0 | 0 | 50 | 0 | 0 | 0 | 50 | 100 |
| 01GS0103 | Indian Constitution | HSMC | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 29 | 21 | 2 | 6 | 20 | 350 | 180 | 120 | 175 | 225 | 1000 | |
Sem 2
| B. Tech. Year I, Sem II | Evaluation Scheme | |||||||||||
| Subject code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 01MA0103 | Matrix Algebra and Vector Calculus | BSC | 3 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ML0101 | Python Programming | ESC | 0 | 0 | 4 | 2 | 0 | 0 | 0 | 50 | 50 | 100 |
| 01ME1102 | Engineering Graphics | ESC | 3 | 0 | 4 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01EE2101 | Basics of Electrical and Electronics Engineering | ESC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ME1104 | Mechanical Workshop | ESC | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 50 | 50 | 100 |
| 01CR0106 | Verbal Ability – 2 | HSMC | 1 | 0 | 0 | 0 | 50 | 0 | 0 | 0 | 50 | 100 |
| 01ML0202 | Fundamental of AI & ML | ESC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| Total | 29 | 13 | 2 | 14 | 21 | 250 | 120 | 80 | 200 | 250 | 900 | |
Sem 3
| B. Tech. Year II, Semester III | Evaluation Scheme | |||||||||||
| Subject code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 01ME1305 | Fundamental of Machine Design | ESC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01MA1301 | Applied Differential Equations | BSC | 3 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01MR0301 | Thermo-Fluids Engineering | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01MR0302 | Kinematics and Dynamics of Robots | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ML0301 | Manufacturing Technolgy | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01CR0302 | Quantitative & Logical Ability – 1 | HSMC | 1 | 0 | 0 | 1 | 50 | 0 | 0 | 0 | 50 | 100 |
| 01MR0302 | Fundamentals of Robotics and Drives | PCC | 2 | 0 | 2 | 3 | 50 | 30 | 20 | 25 | 25 | 150 |
| Total | 30 | 18 | 2 | 10 | 25 | 350 | 180 | 120 | 150 | 200 | 1000 | |
Sem 4
| B. Tech. Year II, Semester IV | Evaluation Scheme | |||||||||||
| Subject code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 01MA1401 | Complex Variable & Numerical Analysis | BSC | 3 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ML2401 | Machine Design & Industrial Drafting | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ME2403 | Material Science and Metallurgy | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ME0406 | Creativity, Problem Solving and Innovation | HSMC | 0 | 0 | 2 | 1 | 0 | 30 | 20 | 0 | 0 | 50 |
| 01CR0402 | Quantitative & Logical Ability – 2 | HSMC | 0 | 0 | 2 | 1 | 50 | 0 | 0 | 0 | 50 | 100 |
| 01MR0401 | Intsrumentation and Measurement | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01MR0402 | Microcontrollers and Embedded Systems | Skill | 0 | 0 | 4 | 2 | 0 | 0 | 0 | 50 | 50 | 100 |
| Total | 28 | 12 | 2 | 14 | 21 | 250 | 150 | 100 | 150 | 200 | 850 | |
Sem 5
| B. Tech. Year III, Semester V | Evaluation Scheme | ||||||||||||
| Subject code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | ||||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||||
| 01MR0501 | Design and Analysis of Robotic Elements | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01MR0502 | Industry 4.0 | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01CR0503 | Quantitative & Logical Ability -3 | HSMC | 1 | 0 | 0 | 1 | 50 | 0 | 0 | 0 | 50 | 100 | |
| 01ML0504 | Automation & Control System | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 50 | 50 | 200 | |
| 01MR051* | Programme Elective-I | PEC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01MR0503 | Pneumatics and Hydraulics Controls | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 50 | 50 | 100 | |
| 01MR0504 | Sensors and Signal Processing | Skill | 0 | 0 | 4 | 2 | 0 | 0 | 0 | 50 | 50 | 100 | |
| Total | 30 | 16 | 0 | 14 | 23 | 300 | 150 | 100 | 225 | 175 | 1000 | ||
| Programme Elective – I | |||||||||||||
Sem 6
| B. Tech. Year III, Semester VI | Evaluation Scheme | ||||||||||||
| Subject code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | ||||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||||
| 01MR0601 | Robotics Programming | PCC | 2 | 0 | 4 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01MR0602 | CAD and 3D Printing | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01MR0603 | Digital Twin for Robotics | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01MR062* | Programme Elective – II | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01MR0604 | Minor Project | PROJ | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 50 | 50 | 100 | |
| 01CR0602 | Quantitative Aptitude and Verbal Ability | HSMC | 1 | 0 | 0 | 1 | 50 | 0 | 0 | 0 | 50 | 100 | |
| Total | 28 | 12 | 0 | 16 | 20 | 250 | 120 | 80 | 150 | 200 | 800 | ||
| Programme Elective – II | |||||||||||||
Sem 7
| B. Tech. Year IV, Semester VII | Evaluation Scheme | ||||||||||||
| Subject code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | ||||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||||
| 01MR0701 | Introduction to Deep and Reinforcement Learning | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01ML0702 | Computer Integrated Manufacturing | PCC | 3 | 0 | 4 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01MR0703 | Machine Vision for Robotics | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01MR073* | Programme Elective – III | PEC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01MR074* | Programme Elective – IV | PEC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| Total | 27 | 15 | 0 | 12 | 21 | 250 | 150 | 100 | 125 | 125 | 750 | ||
Programme Electives – III
| |||||||||||||
Programme Electives – IV
| |||||||||||||
Sem 8
| B. Tech. Year IV, Semester VIII | Evaluation Scheme | |||||||||||
| Subject code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | |||||
| Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | |||||
| 01MR0801 | Internship/Major Project | Project | 0 | 0 | 30 | 15 | 0 | 0 | 0 | 100 | 100 | 200 |
| Total | 30 | 0 | 0 | 30 | 15 | 0 | 0 | 0 | 100 | 100 | 200 | |
Career Opportunities
Graduates of this specialization are well-positioned to shape the future of automated industries, contributing to areas such as:
Smart Manufacturing & Industrial Automation
Autonomous Vehicles and Drones
Robotics in Healthcare and Rehabilitation
Artificial Intelligence for Mechanical Systems
IoT-enabled Mechatronic Systems
R&D in Robotics Startups and National Innovation Labs
Design Engineer (CAD/CAE in Automation)
Smart Manufacturing & Industrial Automation Autonomous Vehicles and Drones Robotics in Healthcare and Rehabilitation Artificial Intelligence for Mechanical Systems IoT-enabled Mechatronic Systems R&D in Robotics Startups and National Innovation Labs Design Engineer (CAD/CAE in Automation)Career Options
Graduates of Mechanical Engineering with specialization in Artificial Intelligence and Machine Learning are prepared for a wide range of dynamic and high-impact roles across industries. Potential career paths include:
Systems Engineer
Solutions Specialist
Product Engineer
Technical Designer
Software QA Analyst
Programmer Analyst
System Architect
Data Analytics Professional
IoT-Based Solutions Developer
Software Engineer
Embedded
Hardware/
Software Engineer
Cybersecurity Analyst
AI/ML Engineer
Database Technology Specialist
Wireless and Sensor Networks Engineer
Image and Video Processing Engineer
VLSI Systems Designer
Student Outcomes
Graduates will demonstrate:
Proficiency in mechanical and robotic system design
Integration of sensors, actuators, and controllers
Teamwork in multidisciplinary settings
Competence in modern tools (CAD, CAM, MATLAB, Python, ROS, PLC, SCADA)
Ethical decision-making and sustainability awareness
Ability to conduct experiments and interpret real-time data
Communication skills across technical and non-technical domains
Preparedness for lifelong learning and higher education
Proficiency in mechanical and robotic system design Integration of sensors, actuators, and controllers Teamwork in multidisciplinary settings Competence in modern tools (CAD, CAM, MATLAB, Python, ROS, PLC, SCADA) Ethical decision-making and sustainability awareness Ability to conduct experiments and interpret real-time data Communication skills across technical and non-technical domains Preparedness for lifelong learning and higher educationFacilities
Lab
Marwadi University is creating professionals and innovators for the future through exclusively sourced equipment available only at other top universities of India.
With reference to the Final assessment of Marwadi University Material Testing Laboratory in the disciplines of Mechanical Testing conducted by National Accreditation Board for Laboratories (NABL) in June 2017, NABL has evaluated the assessment report and decided grant of accreditation in accordance with ISO/IEC 17025:2005 in the disciplines of Mechanical Testing as per the scope and authorized signatories recommended by the assessment team. With this accreditation, Marwadi University becomes the 1st university in Gujarat, to have a NABL accredited Civil Engineering Material Testing Laboratory which are very few in the country
Fluid Mechanics
Refrigeration & Air-conditioning
Heat Transfer
Fluid Power Engineering
I. C. Engine
Dynamics of Machines
Material Science & Metallurgy
Metrology
Element of Mechanical Engineering
Mechanical workshop
Advanced Laboratories
Computer Aided Manufacturing
Computer Aided Design
With reference to the Final assessment of Marwadi University Material Testing Laboratory in the disciplines of Mechanical Testing conducted by National Accreditation Board for Laboratories (NABL) in June 2017, NABL has evaluated the assessment report and decided grant of accreditation in accordance with ISO/IEC 17025:2005 in the disciplines of Mechanical Testing as per the scope and authorized signatories recommended by the assessment team. With this accreditation, Marwadi University becomes the 1st university in Gujarat, to have a NABL accredited Civil Engineering Material Testing Laboratory which are very few in the country
Fluid Mechanics Refrigeration & Air-conditioning Heat Transfer Fluid Power Engineering I. C. Engine Dynamics of Machines Material Science & Metallurgy Metrology Element of Mechanical Engineering Mechanical workshopAdvanced Laboratories
Computer Aided Manufacturing Computer Aided Design 
Software
PTC’s Creo for Design MATLAB/Simulink for Modeling and Simulation Python & ROS for Robotics Programming PLC Programming for Automation ANSYS for System AnalysisAdvanced Lab for Research, Innovation & Training
Smart Foundry supported by DST, Govt. of India Bosch Rexroth Center of Excellence in Automation Rapid Prototyping Lab Automation Training with Jyoti CNC Automation Pvt. Ltd. Advance Robotics Lab 
Campus Facilities
Impressive Infrastructure IT Enabled Infrastructure Sports Infrastructure State-of-the-art Classrooms Hostels with Gymnasium Library with 50000+ Books Academic & Cultural Events Industry Association
Membership of Professional Bodies
HOD's Message
Prof. (Dr.) Ramesh Bhoraniya
HoD, Department of Mechanical Engineering
HoD, Department of Mechanical Engineering
Prof. (Dr.) Ramesh Bhoraniya, the Head of the Department of Mechanical Engineering, articulates a clear and progressive vision for the department. His message emphasizes the dedication to cultivating engineering talents that contribute significantly to both industry and the broader community. The faculty comprises a diverse group of top-tier researchers with expertise spanning various engineering domains, many of whom are globally recognized for their pioneering work and innovation across interdisciplinary clusters.
The curriculum is meticulously crafted to encompass emerging fields that are highly relevant to modern mechanical engineering and its specializations. These include the Internet of Things (IoT), Artificial Intelligence (AI), Advanced Welding Technology, Advanced Robotics, Additive Manufacturing, Advanced Combustion, Cyber Manufacturing, Advanced Internal Combustion, Biofuels & Hybrid Fuel Systems, Advanced Materials such as composites, Computational Mechanics, Sustainable Infrastructure, and Bio-nano materials. This comprehensive integration of contemporary and future-oriented topics demonstrates a proactive approach to curriculum development.
The department’s unwavering focus revolves around three key pillars: fostering the success of its students, upholding research excellence, and making substantial contributions to economic growth and development. The department prioritizes sustained progress by investing in campus resources, promoting entrepreneurial initiatives, fostering strong ties with industry partners, and driving innovation. The university has consistently excelled in advancing these pillars, delivering a significant return on investment to both the nation and the global community.
Professor Bhoraniya recognizes the opportune era for engineering to assume a more central role, especially in conjunction with the unfolding opportunities in India. The department acknowledges its responsibility to address global challenges and nurture leaders who can harness the advantages of technological advancements for the betterment of humanity and the planet. This collective endeavor strives to create a future where engineering solutions drive positive change on a global scale.
The curriculum is meticulously crafted to encompass emerging fields that are highly relevant to modern mechanical engineering and its specializations. These include the Internet of Things (IoT), Artificial Intelligence (AI), Advanced Welding Technology, Advanced Robotics, Additive Manufacturing, Advanced Combustion, Cyber Manufacturing, Advanced Internal Combustion, Biofuels & Hybrid Fuel Systems, Advanced Materials such as composites, Computational Mechanics, Sustainable Infrastructure, and Bio-nano materials. This comprehensive integration of contemporary and future-oriented topics demonstrates a proactive approach to curriculum development.
The department’s unwavering focus revolves around three key pillars: fostering the success of its students, upholding research excellence, and making substantial contributions to economic growth and development. The department prioritizes sustained progress by investing in campus resources, promoting entrepreneurial initiatives, fostering strong ties with industry partners, and driving innovation. The university has consistently excelled in advancing these pillars, delivering a significant return on investment to both the nation and the global community.
Professor Bhoraniya recognizes the opportune era for engineering to assume a more central role, especially in conjunction with the unfolding opportunities in India. The department acknowledges its responsibility to address global challenges and nurture leaders who can harness the advantages of technological advancements for the betterment of humanity and the planet. This collective endeavor strives to create a future where engineering solutions drive positive change on a global scale.
Faculties of Mechanical Engineering
Dr. Rameshkumar Bhoraniya
Professor, HoD
Dr. Amit Sata
Professor
Dr. Nikunj Rachchh
Professor
Dr. Pinak Patel
Associate Professor
Dr. Bhavesh Kanabar
Associate Professor
Dr. Nikhil Chotai
Associate Professor
Dr. Gaurang Joshi
Associate Professor
Dr. Parag Rajpara
Associate Professor
Dr. Karan Motwani
Associate Professor
Dr Jomy Joseph
Associate Professor
Mr. JIGNESH JANI
Assistant Professor
Mr. Chandreshkumar Vyas
Assistant Professor
Mr. Puneet Mathur
Assistant Professor
Mr. PRASHANT UJENIYA
Assistant Professor
Mr. Dhaiwat Trivedi
Assistant Professor
Mr. Dhaval Anadkat
Assistant Professor
Dr. MIT SHETH
Assistant Professor
Mr. NIKUNJ MASHRU
Assistant Professor
Mr. MUKHTAR SAMA
Assistant Professor
Mr. Kartik Pipalia
Assistant Professor
Dr Shalok Bharti
Assistant Professor
Mr. BHAVIK VAGHASIA
Assistant Professor
Mr. Mayank Thummar
Assistant Professor
MR. BHAVIK VAGHASIA
Lab Assistant
Mechanical Department Placement
Department Newsletter
December 2024
June 2024
December 2023
June 2023
December 2022
June 2022
December 2021
December 2024
June 2024
December 2023
June 2023
December 2022
June 2022
December 2021
Key Highlights
State-of-the-Art Facilities and Hands-on Learning Integration of Industry 4.0 and Emerging Technologies Quality Assurance through Accreditation Robust Industry Partnerships and Research Collaborations Curriculum Focused on Advanced Fields Comprehensive Student Outcomes Active Student Engagement Industry Internships at Bosch, Jyoti CNC, and Adani Robotics Competitions & Club Activities (e.g., ASME, IEEE) Holistic skill development: from Design to DeploymentFaculties
Successful
Alumni
Our Recruiters
Events
Teaching and Learning
The faculty members of the Mechanical Engineering Department at Marwadi University are trained and certified in Teaching-Learning Pedagogy through various platforms, including MOOCs, Faculty Development Programs, workshops, and initiatives by IUCEE (Indo Universal Collaboration for Engineering Education). These certification programs expose participants to diverse pedagogical methods and learning styles. The department implements an activity-based curriculum designed to simplify and effectively teach complex concepts. This curriculum emphasizes imparting skills and knowledge to students through interactive tasks and activities.
The faculty of the Department of Mechanical Engineering at Marwadi University employs various active learning strategies, which can be broadly classified as follows:
Project Based Learning Flipped Classroom Experimental Learning Peer Group Learning Technological Learning Skill Oriented Learning Case Studies Group Projects Collaborative Learning Support for Slow Learners Project Based Learning
Experimental Learning
Simulation Based Learning
Flipped Classroom
Virtual Lab
Virtual Lab
FAQ
Q. Is there any Loan Facility Available ?
There are various kinds of scholarships and financial aid available at MU. Marwadi University has made special arrangements with State Bank of India, Bank of India, Central Bank of India, HDFC Bank and other private Banks for speedy sanctioning and dispersal of Educational and Student Loan to students taking admission.
https://mcuniversity.in/student-loan/
https://mcuniversity.in/student-loan/
Q. Is there any Scholarship Available ?
A student can avail various scholarships and financial aids at MU. There are International Scholarships, GATE Scholarship, Vidhyalaxmi Yojana, GPAT Scholarship, and alike. You can contact the University and get all the guidance related to Student Loan.
https://mcuniversity.in/student-loan/
https://mcuniversity.in/student-loan/
Q. How is the Placement at Marwadi University ?
Marwadi University provides 100% Placement Assistance and Opportunities. So much so that in the previous academic year, we hosted more than 480 companies for placement. If the students are dedicated enough with regular work and follow-ups, they are sure to receive placement in well-known companies with a worthy package. You can contact the Placement and Corporate Relations Department and go through Placement News to know more about it.
Q. How to Reach MU ?
Marwadi University is located on Rajkot-Morbi Road. You can take a city bus to Madhapar Chowk and from there, a Rickshaw Ride will drop you to Marwadi University which is a landmark known by all local drivers. It is 10 km from Bus Station, 12 km from Airport, and 10 km from Railway Station. You can easily find it on Google Maps if you want to self-drive to the University.
Q. Is there a Hostel Facility available at Marwadi University ?
Yes, Marwadi University has 6 hostels with a capacity of more than 3500 students. Many National and International students stay here and feel at home. There are ample facilities available at MU hostel. You can inquire about the hostel when you take admission and get accommodated in your new home.
Q. What is the Fee Structure of Degree Programmes at Marwadi University ?
Fee Structure at Marwadi University is different across various courses at UG and PG level. You can contact the Admission Department for knowing the Fees Structure of various courses offered at MU.
Q. How to Apply for Admission at Marwadi University? What form to fill ?
You can apply online by filling the Application form to start your admission process. If you do not want to fill the application online, you can visit the University for walk-in admissions anytime.
Q. Is Marwadi University recognised by the Government ?
Marwadi University is UGC (University Grants Commission) approved/listed. You can find the name of Marwadi University under the list of UGC approved Universities. MU is also the only institute that is given the NAAC A+ grade in Gujarat.
Q. What all Documents are necessary to bring in while joining the University ?
While you come for admissions, you need to carry your HSC and SSC results, school leaving certificate, JEE score card & registration slip (ACPC). We advise you to keep originals along with photocopies of the same. If you are taking admissions for a Master’s degree, you need to also keep the Bachelor’s Degree Certificate and Marksheet, and any other examination’s scorecard if applicable along with the previously mentioned documents. (GATE score, CMAT, CAT score, GPAT score)
Q. Is there any Medical Facility provided ?
Yes, first-aid medical kits and assistance are available on campus. There is also an ambulance available 24/7 to take students off campus for any kind of emergency.
International Airport 
Railway Station 
GSRTC Bus Port 
