B.Tech in Mechanical Engineering (Digital Manufacturing with AI & Cyber-Physical Systems)
Bachelor of Technology in Mechanical Engineering(Honors) with a specialization in Digital Manufacturing with AI & Cyber-Physical Systems
BEST UNIVERSITY FOR B.TECH ME(HONS) DIGITAL MANUFACTURING WITH AI & CYBER-PHYSICAL SYSTEMS IN ROORKEE, UTTARAKHAND
The B.Tech in Mechanical Engineering with a specialization in Digital Manufacturing, Artificial Intelligence (AI), and Cyber-Physical Systems is a futuristic undergraduate program designed to meet the demands of Industry 4.0. This program integrates core mechanical engineering principles with emerging technologies such as automation, robotics, smart manufacturing, data analytics, and intelligent control systems. It aims to develop professionals who can design, optimize, and manage advanced manufacturing systems driven by digital innovation.
To provide a solid foundation in mechanical engineering integrated with AI, IoT, and cyber-physical technologies.
To develop competencies in advanced manufacturing, smart automation, and real-time data-driven decision-making.
To train students in the design and control of intelligent, interconnected manufacturing systems.
To encourage innovation and research in fields like robotics, machine learning, and industrial IoT.
To prepare graduates for global careers in smart factories, digital manufacturing, and industrial AI applications.
Candidates must have passed 10+2 or equivalent with Physics, Chemistry, and Mathematics from a recognized board.
A minimum of 45% aggregate marks (40% for reserved categories) in the qualifying examination is required.
Valid scores in engineering entrance examinations such as JEE Main or institute-level tests are required.
Entrance Exams for B.TECH EEE (HONS) SMART AND SUSTAINABLE POWER ENGINEERING include:
- JEE Mains/JEE Advanced
- University-Specific Exam (PUET)
- Common University Entrance Exam (CUET)
Click here for a detailed Fee Structure.
Course Highlights
Course Benefits
Career Opportunities
Collaborations
Course Highlights
Duration: 4 Years (8 Semesters)
Industry-aligned curriculum combining mechanical engineering, AI, machine learning, and cyber-physical systems
Training in CAD/CAM, CNC machining, robotics, digital twins, and IoT-enabled manufacturing
Emphasis on real-time monitoring, smart automation, and predictive maintenance
Access to advanced laboratories, simulation tools, and prototyping facilities
Internships, industry projects, and collaboration with manufacturing and tech firms
Course Benefits
Equips students with cross-disciplinary skills in engineering and digital technologies
Enhances job readiness for Industry 4.0 and smart manufacturing environments
Offers hands-on experience in intelligent systems, robotics, and automation
Builds innovation and design thinking for solving real-world industrial challenges
Provides a platform for higher studies and research in digital manufacturing and AI
Career Opportunities
Graduates of this specialization can pursue diverse roles across traditional and advanced technology sectors, such as:
Digital Manufacturing Engineer
AI Integration Specialist
Robotics Engineer
Smart Factory Analyst
Industrial IoT Engineer
Mechatronics Engineer
Cyber-Physical Systems Developer
Predictive Maintenance Engineer
Automation and Control Engineer
R&D Engineer in Smart Manufacturing
Collaborations
Tab Content
PLACEMENT
CAREER PROSPECTS
With the rise of Industry 4.0, there is a growing demand for professionals who can bridge mechanical systems with digital intelligence. This program opens doors to careers in automotive, aerospace, electronics, heavy machinery, robotics, defense, and tech startups focused on manufacturing solutions. Graduates can also pursue postgraduate studies in fields like Artificial Intelligence, Robotics, Industrial Automation, or Cyber-Physical Systems and take up research roles in top R&D centers or academia.
FAQs
The course is a 4-year full-time undergraduate program divided into eight semesters.
While traditional Mechanical Engineering focuses on core mechanical systems, this specialization integrates modern technologies such as AI, IoT, and cyber-physical systems for smart and automated manufacturing.
Yes, internships and real-world industry projects are integral to the curriculum to ensure practical exposure and skill development.
Students learn to work with tools such as AutoCAD, SolidWorks, MATLAB, Python, ROS (Robot Operating System), PLCs, and simulation software for cyber-physical systems.
Yes, graduates can opt for M.Tech, MS, or research programs in Mechanical Engineering, Robotics, AI, Automation, or Cyber-Physical Systems.
Industries such as automotive, aerospace, electronics manufacturing, robotics, smart infrastructure, defense, and IT-based manufacturing solutions hire graduates.
Yes, the curriculum is designed to align with Industry 4.0 principles, incorporating AI, machine learning, smart sensors, and intelligent control in manufacturing systems.