Industry Driven Mechanical Design

This course builds foundational skills in 3D modeling, parametric design, assemblies, and engineering drawing standards. Students learn industry practices for product development, design validation, and manufacturability considerations.

Model-Based Systems Engineering (MBSE)

Hands-on experience in developing system architecture, tracing requirements, creating functional models, and integrating systems. The course covers structured methods for designing complex engineering systems.

Take away: Ability to model and manage complex multi-domain systems.

Applied Structural 

Simulation

Learn and experience industry simulation-driven engineering using structural validation techniques. Students perform stress, deformation, and load analysis to ensure product reliability before building physical prototypes.

Take Away: Practical understanding of simulation-based product validation.

Civil Engineering Design for Fabrication

Experimental learning on design practices for fabrication. It covers structural modeling, detailing, and digital workflows for civil and industrial infrastructure projects. 

Take Away: Industry-ready design skills for fabrication and infrastructure development.

Industrial Communication & Automation

Empower learners with the fundamentals of industrial control systems, communication protocols, and automation logic used in modern manufacturing plants.

Takeaway: Understanding of Industry 4.0 communication frameworks and basics of plant automation.

Visual Experience 

Creator

Ignites the learning to spark creativity to create interactive 3D visual experiences for engineering communication, product visualization, and immersive presentations.

Take away: Skills in immersive visualization and digital experience creation.

Electrical Wiring & 

Harness

Empower learners to develop electrical system routing, wiring design, harness development, and electrical integration within mechanical assemblies. 

Take away: Capability to integrate electrical and mechanical systems.

Applied AI for Product Lifecycle

Educate the learner on new technology trends by introducing data analytics, machine learning fundamentals, and AI concepts relevant to engineering and manufacturing.

 Take away: Data-driven engineering mindset relevant to smart manufacturing.

Automotive Body-in-White

Experience the actual design workflow in the automotive industry through BIW design principles, sheet metal engineering, structural integrity considerations, and manufacturing constraints.

Takeaway: Specialized knowledge in automotive structural design.

Automotive Chassis

Understanding chassis system architecture, suspension design fundamentals, load distribution, and structural integration is crucial for optimizing vehicle performance and safety.

Take away: Ability to design and analyze automotive underbody systems.

Aerospace Structure Design

Gain experience in aerospace design workflows and conceptual cycles by learning about lightweight structural design, aerospace materials, and validating structural integrity in accordance with aerospace standards.

 Take away: Skills aligned with aerospace-grade structural engineering.

Aerospace Sub-system Modeling & Simulation

Enlighten learners by creating hands-on models and simulating aerospace subsystems, integrating mechanical, electrical, and control systems into unified architectures.

 Take away: System-level understanding of aerospace subsystem integration.

Smart Manufacturing

Experience digital factory planning, process simulation, production optimization, and modeling manufacturing systems.

 Take away: Expertise in manufacturing engineering ready for industry best practices

Electric Vehicle Sub-system Modeling & Simulation

Learners explore the EV architecture, battery management systems, power electronics integration, and modeling subsystem performance.

Take away: Specialized skills in EV engineering and system integration.

Industrial Automation & Robotics

Experience automation by introducing robotic systems, digitalizing workflows, digital commissioning, and techniques for integrating smart factories.

Take away: Practical understanding of automation-driven manufacturing systems.

Virtual Twin for Manufacturing

Hands-on experience in creating and using virtual twins of manufacturing systems for validation, optimization, and performance improvement before physical implementation.

Take away: Advanced skills in digital transformation of manufacturing workflows.