Maharishi Markandeshwar University
B.Tech in ME (Robotics, Machine Learning, and Artificial Intelligence) at MMU
Maharishi Markandeshwar University (MMU) is a prominent educational institution that has been at the forefront of delivering high-quality education in various fields of engineering, technology, and applied sciences. The B.Tech in Mechanical Engineering (with Specialization in Robotics, Machine Learning, and Artificial Intelligence is an innovative program designed to equip students with the technical skills and knowledge required to thrive in the rapidly evolving world of robotics, AI, and machine learning.
B.Tech in ME (Robotics, Machine Learning, and Artificial Intelligence) Course Details
Maharishi Markandeshwar University
Course Name:
B.Tech Mechanical Engineering (with Specialization in Robotics, Machine Learning, and Artificial Intelligence)
Duration:
4 Years
Annual Course Fee:
105,000 per year
Eligibility Criteria for B.Tech in ME (Robotics, Machine Learning, and Artificial Intelligence)
Admission to the B.Tech Mechanical Engineering (with Specialization in Robotics, Machine Learning & Artificial Intelligence) program at Maharishi Markandeshwar University is subject to the following eligibility requirements:
| Criteria | Details |
|---|---|
| Academic Qualifications | - 10+2 with Physics, Mathematics, Chemistry/Biology/Biotechnology/Computer Science, and English with at least 60% marks (40% for SC/ST). |
| - Diploma in related disciplines with 60% marks or more. | |
| Entrance Exam | - Valid score in JEE Main or equivalent entrance exam. |
| Additional Qualifications | - Diploma or B.Sc. in a related discipline with 60% marks (40% for SC/ST). |
Candidates who meet the eligibility criteria will be invited for the admission process, which includes counseling and document verification. The final selection is based on the candidate's academic performance and entrance exam score.
B.Tech in Mechanical Engineering with Specialization in Robotics, ML, and AI Course Outline
The B.Tech Mechanical Engineering program with a specialization in Robotics, Machine Learning, and Artificial Intelligence is divided into 8 semesters, with each semester offering a mixture of core subjects, elective courses, and practical laboratory sessions. Below is the detailed breakdown of the course structure:
Semester Breakdown
| Semester | Core Courses | Specialization Subjects | Electives & Practical Labs |
|---|---|---|---|
| 1st Semester | - Engineering Mechanics - Basic Electrical Engineering - Engineering Mathematics I - Engineering Chemistry - Engineering Physics - Computer Programming and Data Structures | - Introduction to Robotics - Mechanics of Materials | - Workshop Practice - Computer Lab |
| 2nd Semester | - Engineering Mathematics II - Basic Civil Engineering - Applied Thermodynamics - Electrical Machines | - Introduction to Machine Learning - Introduction to Artificial Intelligence | - Workshop Practice - Computer Lab |
| 3rd Semester | - Strength of Materials - Dynamics of Machinery - Thermodynamics - Fluid Mechanics - Control Systems | - Advanced Robotics Techniques - AI Algorithms for Robotics | - Robotics Lab - Machine Learning Lab |
| 4th Semester | - Manufacturing Processes - Heat Transfer - Mechanics of Machines - Material Science - Mechatronics | - Machine Vision - Robotics and Automation | - Robotics Lab - Machine Learning Lab |
| 5th Semester | - Instrumentation and Measurement - Applied Fluid Mechanics - Advanced Manufacturing Processes | - Autonomous Robotics Systems - Machine Learning in Robotics | - Advanced Robotics Lab - AI Simulation Lab |
| 6th Semester | - Finite Element Analysis - Design of Mechanical Elements - Control Theory | - Deep Learning for Robotics - Natural Language Processing for Robotics | - Robotics & AI Integration Lab - Research Project |
| 7th Semester | - Control Systems Engineering - Industrial Engineering - Vibration Analysis - Engineering Design | - Advanced Machine Learning - Robotic Process Automation | - Industrial Training - Research Project |
| 8th Semester | - Project Work - Engineering Economics - Environmental Engineering | - Robotics in Healthcare - AI-based Robotics Applications | - Industrial Training - Capstone Project |
Note: The elective subjects in the later semesters allow students to delve deeper into their areas of interest, such as AI-based robotics applications, natural language processing for robotics, and more.
Career Opportunities after B.Tech in ME (Robotics, Machine Learning, and Artificial Intelligence)
Graduates of the B.Tech Mechanical Engineering (with Specialization in Robotics, Machine Learning & Artificial Intelligence) program will be well-equipped for a wide range of career opportunities in various industries. Some of the prominent sectors that employ engineers in robotics, machine learning, and AI include:
- Robotics and Automation: Robotics engineers design and develop automated systems for manufacturing, healthcare, defense, and more.
- Artificial Intelligence: AI engineers work on creating intelligent systems for applications like self-driving cars, healthcare diagnostics, and business automation.
- Machine Learning: Machine learning engineers design algorithms to help systems learn and improve from data without explicit programming.
- Manufacturing and Production: Mechanical engineers with knowledge of robotics and AI contribute to the optimization of manufacturing processes and production systems.
- Research and Development: Graduates may also opt for R&D positions in academia or industry, working on groundbreaking advancements in robotics, AI, and machine learning.
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