The B.Tech. Aerospace Engineering Program at Chandigarh University, Uttar Pradesh, is North India’s premier aerospace engineering program that provides AI-driven education embedded across aircraft structures, aerodynamics, propulsion, space systems, and flight dynamics.
In line with the ever-evolving tech landscape, the program ensures that students receive futuristic education combined with simulation-first pedagogy and real-world datasets. The advanced curriculum encompasses the application of cutting-edge technologies such as machine learning, deep learning, and digital twins to predict aerodynamic performance and optimise aircraft configurations in real simulation environments.
Moreover, students also develop analytical and critical aptitude during their coursework by gaining access to state-of-the-art infrastructure and high-end labs. The salient features, such as experiential learning and industry exposure via internships, capstone projects, and workshops, keep students ahead of the competition in this tech-powered world.
According to Industry Research, the global aerospace industry is projected to reach USD 108.85 billion by 2035, with a CAGR of 6.3% for the period of 2026 to 2035. This shows expansion in the industry that will create more rewarding opportunities for the aspirants.
The curriculum is infused with 30 percent AI across various domains such as aircraft structures, aerodynamics, propulsion, space systems, and flight dynamics, ensuring unprecedented learning opportunities for the students.
Students engage in 50 percent experiential learning through internships, workshops, and field exposure at ISRO, DRDO, HAL, along with leading private aerospace firms.
The application of cutting-edge technologies such as machine learning, deep learning, and digital twins to predict aerodynamic performance and optimise aircraft configurations with real simulation environments for students.
Students get practical training with reinforcement learning, UAV manoeuvring, obstacle avoidance, and AI-supported flight controllers inside dedicated UAV and flight testing labs.
Access to high-end labs, including Aerodynamics, Propulsion, Structures, UAV, and CFD labs, mirrors the industry-grade environments to make the students job-ready.
Training on MATLAB, Simulink, CATIA, ANSYS Fluent, OpenFOAM, and allied platforms enhances the simulation-first and analysis-driven engineering skills.
ML-based navigation, predictive communication models, and AI-assisted air traffic control systems prepare students for multi-aircraft coordination.
Exposure to AI-driven fault detection, failure prediction, and automated inspection using drones and robotic systems facilitates the learner's acquisition of aircraft monitoring skills.
Students get the opportunity to explore AI-assisted spacecraft navigation, orbital analytics, debris tracking, robotic autonomy, and mission planning through applied projects.
The capstone projects in UAV design, propulsion modelling, CFD, aerostructures, and sustainability, supported by progressive research and global certifications in MATLAB, CATIA, and aerodynamics domains in the final year, backed by groundbreaking research, provide an edge to the students in the ever-evolving aerodynamics landscape.
Aerodynamics, propulsion, structures, and flight mechanics integrated with machine learning, optimisation, and neural networks.
1Virtual testing, real-time validation, and system level modelling for aircraft and aerospace systems.
2Intelligent flight control, navigation, obstacle avoidance, and cooperative unmanned systems.
3Smart cockpit systems, adaptive guidance, predictive communication, and ATC intelligence.
4Industry 4.0 practices, intelligent production systems, and quality optimisation for aerospace applications.
5Reliability engineering, condition monitoring, failure prediction, and automated inspection systems.
6
Autonomous flight safety, system reliability, and risk-aware intelligence.
AI-driven optimisation of aircraft performance, efficiency, and constraints.
Bias reduction and equitable decision-making in air traffic systems.
Advanced simulation platforms for real-time analysis and validation.
AI-enabled signal processing and resilient aerospace
AI-driven forecasting of environmental impact and sustainability outcomes
Graduates get hired in NTPC, DRDO, BHEL, Siemens, ABB, Adani, Deloitte, Ericsson Global, GE Health Care, GMR Energy, JSW Steel, L&T, L&T-ECC, Philips Electronics, Schneider Electricals, TCE, Tesco, Wipro VLSI, WS Atkins, Tata Motors, Reliance, Toshiba, Accenture, HCL, IBM, TCS, Wipro and Infosys with Electrical Engineering degree at Chandigarh University, Uttar Pradesh.
Join our B.Tech-CE program to lead in the development of intelligent systems. Our curriculum is crafted to enhance your technical expertise and innovation skills, empowering you to create solutions that define the future of technology.
Join the Futuristic Campus with Experiential Education Model to turn your dreams into Reality
A transformative learning experience that encourages critical thinking and innovation, equipping you with future-ready skills and career competence.
The power of AI is harnessed to its full potential to enhance traditional learning pedagogy for you and create a futuristic model of education.
The campus harmoniously brings together eco-friendly initiatives, energy-efficient building, and green spaces, making it a testament to sustainability.
