Why Modern Engineers Need to Understand Both Machines and Electronics

A car that brakes automatically, a factory machine that predicts a fault, or a robot that adjusts its movement in real time cannot be built with mechanical knowledge alone. Modern products increasingly combine physical systems with sensors, processors, communication networks and software. Engineers who understand how these parts interact can solve problems beyond the boundaries of a single discipline. This interdisciplinary thinking is especially relevant for students exploring a bachelor of electronics and communication engineering.

Machines are becoming smarter

Traditional mechanical engineering focuses on areas such as design, manufacturing, materials, thermodynamics and machine systems. These foundations still matter, but many machines now contain electronic intelligence.

Consider an industrial robotic arm. Its mechanical structure determines how it moves and handles loads. Sensors measure position, speed or force. Electronic controllers process these signals, while software determines the robot's next action.

An engineer working on such a system benefits from understanding what happens beyond their own component. A mechanical engineer does not need to become a communication engineer, but knowing how sensors, controllers and electronic systems interact can lead to better design decisions.

Electronics now interacts with the physical world

Electronics engineers face the opposite challenge. Their work increasingly connects with machines that move, generate heat or operate under physical constraints.

Communication systems, embedded devices, control systems and IoT technologies are often integrated into cars, robots, manufacturing equipment and medical devices. Engineers need to understand the physical environment in which their electronics will operate. This makes interdisciplinary exposure increasingly useful for students pursuing a bachelor of technology in mechanical engineering.

Electric vehicles show why both fields matter

Electric vehicles are a clear example of engineering convergence.

Mechanical knowledge is needed for vehicle dynamics, structural design, cooling, manufacturing and thermal management. Electronics knowledge supports sensing, communication, control systems and other electronic functions.

The vehicle only works effectively when these systems operate together. A technically strong component can still create problems if it does not integrate properly with the rest of the vehicle.

For students, EVs provide a useful lesson: engineering problems rarely arrive neatly separated by academic department.

Robotics and automation require systems thinking

Robotics pushes this idea even further. A robot can involve mechanical design, motors, sensors, electronics, control systems, computer vision and artificial intelligence.

Modern engineering education is responding to this overlap. K J Somaiya School of Engineering, for example, lists minors for Electronics and Telecommunication students in areas including Electric Vehicle, Robotics & AI, Mechatronics, Robotics and Automation, and Drone Technology. Its Electronics and Telecommunication curriculum also includes areas such as control systems, machine learning, IoT, AI and computer vision.

This type of exposure helps students understand an entire system instead of seeing each component in isolation.

Smart manufacturing is another point of convergence

Factories increasingly use sensors and connected equipment to monitor machines and production processes. Data from a machine can help teams identify unusual behaviour, schedule maintenance or improve performance.

Mechanical engineers understand how equipment behaves physically. Electronics and communication engineers understand sensing, signal processing, connectivity and control. When these perspectives come together, teams can diagnose problems more effectively.

What should engineering students learn?

Students do not need to master two complete engineering disciplines. They need enough cross-disciplinary knowledge to communicate with other engineers and understand how their decisions affect a larger system.

Projects are one of the best ways to develop this ability. Building a robot, EV component, automated mechanism or IoT-enabled machine forces students to connect theory with hardware and real constraints.

Conclusion

The future of engineering belongs increasingly to connected systems where machines, electronics, data and software work together. Strong fundamentals in one discipline remain essential, but understanding neighbouring fields can help engineers collaborate and solve multidisciplinary problems.

Students exploring engineering at Somaiya Vidyavihar University can consider the programmes offered through K J Somaiya School of Engineering. Its B.Tech. in Electronics & Telecommunication Engineering combines core areas such as electronic circuits, communication systems, microcontrollers and signal processing with exposure to emerging technologies and interdisciplinary minors. Its B.Tech. in Mechanical Engineering develops expertise in design, manufacturing and thermal sciences, while multidisciplinary mega-projects provide hands-on experience with tools and machines. Together, these learning opportunities reflect how modern engineering increasingly crosses traditional disciplinary boundaries.