B. Tech. in Chemical Engineering
The B. Tech., program in Chemical Engineering offered by SSN School of Engineering is structured to provide students with a strong foundation in traditional chemical engineering principles, while simultaneously equipping them with advanced computational skills. The curriculum places a distinct emphasis on sustainability and green technologies, ensuring that graduates are well-prepared to address the evolving challenges of the industry. Students build a solid foundation in:
- thermodynamics,
- transport phenomena,
- mass and heat transfer,
- reaction engineering,
- process design,
- alongside training in computational modelling, simulation, and optimization.
The program emphasizes sustainable process development, preparing graduates to design and operate energy-efficient, low-carbon, and environmentally responsible chemical plants. With training in ANSYS Fluent/CFD, ASPEN Plus/HYSYS, MATLAB, Python, and exposure to machine learning and data analytics, students learn to optimize processes for resource efficiency, waste minimization, and clean energy integration. By combining traditional chemical engineering with computational intelligence and sustainability, graduates are equipped to lead the digital and green transformation of process industries.
Build Strong Chemical Engineering Foundations
Gain in-depth knowledge of core areas such as thermodynamics, transport phenomena, reaction engineering, and process control to solve complex process challenges.
Develop Computational and Analytical Expertise
Apply advanced modeling, simulation, optimization, and predictive analytics to design, analyze, and improve chemical processes.
Integrate Sustainability into Process Design
Create energy-efficient, eco-friendly, and low-carbon solutions with a focus on environmental responsibility and sustainable industrial practices.
Drive Innovation in Smart and Sustainable Manufacturing
Harness computational engineering, Industry 4.0 tools, and research-driven approaches to deliver innovative solutions in energy, environment, and materials.
Strong Core in Chemical Engineering:
Comprehensive learning in thermodynamics, heat and mass transfer, fluid mechanics, reaction engineering, and process design.
Computational Specialization with Industry-Standard Tools:
Advanced training in modeling, simulation, and optimization using ANSYS Fluent/CFD, ASPEN Plus/HYSYS, MATLAB, and Python, supported by state-of-the-art laboratories and simulation facilities.
Machine Learning, Data Science & Industry 4.0 Integration:
Application of AI/ML, IoT, automation, and digital twin technologies for predictive modeling, smart process control, and digitalized manufacturing.
Sustainability & Green Engineering Practices:
Emphasis on renewable energy, carbon capture, pollution prevention, circular economy concepts, and eco-friendly industrial operations.
Experiential Learning through Projects & Internships:
Real-world problem-solving with industry collaborations, focusing on environmental compliance, energy efficiency, and sustainable process innovation.
