Offering both undergraduate (B-Tech) and postgraduate (M.Tech and PhD) programs, the Department of Chemical Engineering aims to provide students with the extensive knowledge they need to be a part of the Energy Sector in the Indian Industrial space. The courses provided are a balanced mix of traditional areas—reaction engineering, thermodynamics, process control, etc.—and emerging areas—waste management, renewable energy, machine learning, nanoscience, etc.—of chemical engineering. Students are given hands-on experience with various simulation software (MATLAB, Aspen, Fluent), along with access to laboratories which have the latest equipment and machinery. The department faculty are involved in industrial consultancy and various sponsored involved in various research projects, particularly interdisciplinary ones, in collaboration with industry. The focus areas of this research in the department include distribution networks, energy storage, surface and plasma engineering, water treatment, machine learning, and pollution abatement, to name a few. With support from Indian PSUs in the oil and natural gas sectors (Hindustan Petroleum Corporation Limited (HPCL), Indian Oil Corporation Limited (IOCL), Oil and Natural Gas Corporation (ONGC), Gas Authority of India Ltd. (GAIL), etc.), the Department of Chemical Engineering continually strives to create an environment wherein students can not only learn, but also experience and implement; to become highly motivated individuals with the skill and knowledge required to make a difference in the Chemical Industry.

The goal of the program is to cultivate skilled Mechanical Engineers who possess specialized Skills and knowledge required for energy industry. The program aims to provide students with a strong foundation in basic and applied Mechanical Engineering principles while fostering innovative thinking to address energy and environmental challenges. By participating in this program, students will develop the skills necessary to thrive in a rapidly evolving field that encounters various technological advancements. Throughout the course, significant emphasis will be placed on enhancing students' abilities to tackle complex technical problems in diverse interdisciplinary contexts

In recent years, several ground-breaking mathematical developments have emerged with far-reaching implications for our daily lives. These advancements span diverse areas—from mathematical modelling and large-scale optimization to data-driven solutions for partial differential equations (PDEs), and even efforts to replicate neural processing in the human brain. With immense potential for real-world applications, these foundational topics have naturally become the focal point of interest for researchers across scientific domains. They have played a crucial role in the development of transformative technologies such as ChatGPT, high-precision medical imaging, and physics-aware neural processing. At the core of these innovations lie advanced mathematical, computational, and data-analytic tools, which serve as the bedrock of rapidly evolving fields like Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Data Science (DS).

Recognizing the growing demand for skilled professionals capable of advancing these fields, the Indian Institute of Petroleum and Energy (IIPE), Visakhapatnam, proposes the introduction of a 4-year B.Tech. programme in Mathematics and Computing with a strong emphasis on AI and ML. This visionary programme is designed to attract some of the brightest minds in the country through the JEE Advanced examination, offering a robust blend of Mathematics and Computer Science. The curriculum focuses on areas where Mathematics and Computing intersect most deeply, providing a solid foundation for students interested in core analytical and mathematical disciplines, along with specializations in AI, ML, DS, and Energy. Ultimately, the programme aims to cultivate future leaders who will drive research, development, and innovation in cutting-edge disciplines and next-generation technologies grounded in strong mathematical and computational expertise.