School of Engineering

The M.Tech. in Cyber Security is a 2-year postgraduate program that emphasizes advanced topics in information security, cryptography, network defense, and digital forensics. The program includes topics including ethical hacking, cloud security, IoT security, and security analytics. Students acquire practical experience through lab sessions and industrial assignments, acquiring competence in creating and executing robust cybersecurity solutions. The program of study prepares graduates for leadership roles in cybersecurity, including security analysts, penetration testers, security architects, and information security managers in a variety of sectors, as well as research and development positions in information security.

B.Tech. in Information Technology is a 4-year undergraduate degree program that integrates computer science, software engineering, and information systems. The curriculum encompasses topics such as programming, data structures, algorithms, computer networks, database administration, and emerging technologies. Graduates acquire the necessary technical skills and problem-solving ability to design, implement, and maintain information systems and software applications. The curriculum prepares students for a variety of IT jobs, such as software development, web development, system management, and data analysis.

M.Tech. in Information Technology is an advanced postgraduate degree that normally lasts 2 years and is intended for students and professionals looking to expand their IT knowledge. The program includes cutting-edge areas like artificial intelligence, data science, cybersecurity, cloud computing, and software engineering. Coursework frequently combines academic and practical components, with a focus on research and industry-relevant projects. Students engage in advanced labs, seminars, and a final dissertation or capstone project. This degree equips graduates with specific knowledge and skills, equipping them for leadership positions in IT, research, or a doctorate study. Many colleges provide flexible learning options, such as part-time and online courses, to accommodate working people.

M.Tech. in Mechanical Engineering is an advanced postgraduate degree typically completed in 2 years. The program deepens students' understanding of mechanical engineering principles and applications, covering subjects like advanced thermodynamics, robotics, finite element analysis, and advanced manufacturing processes. Students engage in coursework, laboratory experiments, and a research thesis or project. The curriculum often includes electives allowing specialization in areas such as automotive engineering, aerospace systems, or energy systems. This degree enhances career prospects in industries like automotive, aerospace, energy, and manufacturing, preparing graduates for roles in research and development, design engineering, or advanced technical management positions.

 B.Tech. in Chemical Engineering is a 4-year undergraduate program that equips students with the knowledge and skills to design, develop, and optimize chemical processes and products. The curriculum typically covers subjects such as thermodynamics, fluid mechanics, heat transfer, mass transfer, reaction engineering, and process control. Students also study mathematics, physics, and chemistry as foundational courses. Throughout the program, practical laboratory work and industrial internships provide hands-on experience. Graduates are prepared for careers in various industries, including petrochemicals, pharmaceuticals, food processing, and environmental engineering. The degree emphasizes problem-solving, critical thinking, and innovation, enabling students to address complex challenges in chemical manufacturing and sustainable technologies.

B.Tech. in Mechatronics is a 4-year undergraduate program that integrates mechanical, electrical, and computer engineering disciplines. This interdisciplinary field focuses on designing and developing intelligent systems and automated devices. Students learn about robotics, control systems, sensors, actuators, and embedded systems. The curriculum typically includes courses in mechanical design, electronics, programming, and system integration. Practical projects and laboratory work are essential components, allowing students to apply theoretical knowledge to real-world problems. Graduates are well-equipped for careers in industries such as automation, robotics, aerospace, and manufacturing, where they can design and maintain complex electromechanical systems. The program prepares students for roles in research, development, and innovation across various technological sectors.

B.Tech. in Machine Learning is a 4-year undergraduate program that teaches students fundamental computer science principles as well as specialized abilities in machine learning algorithms, data analysis, and artificial intelligence (AI). The curriculum usually incorporates programming, data structures, mathematics, and fundamental machine learning concepts like supervised and unsupervised learning, neural networks, and deep learning. Labs, projects, and internships provide students with practical knowledge as they prepare for careers in data science, AI development, robotics, and other fields. Graduates are well-prepared to work in industries such as banking, healthcare, and technology, or to pursue additional studies in AI and machine learning.

 

Bachelor of Technology (B.Tech.) in Data Science is a 4-year undergraduate program that equips students with skills in data analysis, machine learning, artificial intelligence, and big data management. This course combines technical and analytical training, including programming languages like Python and R, statistical methods, and data visualization techniques to prepare graduates for the growing demand in data-driven industries. Throughout the program, students learn to process, analyze, and interpret complex data sets, turning raw data into actionable insights. Graduates find career opportunities as data scientists, data engineers, and business analysts across various sectors, including technology, finance, and healthcare.

M.Tech. in Chemical Engineering is a 2 year postgraduate degree that focuses on providing advanced knowledge and skills in chemical processes and engineering. The curriculum includes topics such as process design, response engineering, transportation phenomena, process control, and environmental engineering. Students participate in research projects, case studies, and hands-on training to prepare for careers in areas such as petrochemicals, pharmaceuticals, energy, and environmental management. The program also stresses using chemical engineering principles to tackle real-world challenges. Admission normally needs a B.Tech. in Chemical Engineering or a related discipline, with an emphasis on both theoretical and practical knowledge.
 

 M.Tech. in Data Science is a 2-year postgraduate program designed to equip students with advanced knowledge and skills in data analytics, machine learning, and big data technologies. This course covers various aspects such as data mining, statistical analysis, data visualization, and artificial intelligence, preparing students for roles in industries like IT, finance, healthcare, and e-commerce. The curriculum includes a blend of theoretical knowledge and practical experience, with hands-on training on industry tools and techniques. Students also work on real-time projects and case studies to develop problem-solving abilities. Upon completion, graduates can pursue career opportunities as data scientists, analysts, engineers, or researchers, contributing to data-driven decision-making processes in organizations.

 M.Tech. in Artificial Intelligence (AI) is a postgraduate program designed to equip students with advanced knowledge and skills in AI technologies. Typically spanning 2 years, this course covers a wide range of topics including machine learning, deep learning, natural language processing, computer vision, robotics, and data science. Students engage in both theoretical studies and practical applications, preparing them for careers in AI research, development, and implementation across various industries such as healthcare, finance, and technology. The curriculum includes core subjects, electives, and hands-on projects, fostering problem-solving abilities and innovation. By the end of the program, graduates are ready to tackle complex challenges in AI and contribute to the rapidly evolving field.

 M.Tech. in Mechatronics is a multidisciplinary postgraduate program that integrates principles from mechanical engineering, electronics, computer science, and control systems. Designed for a duration of 2 years, this course equips students with advanced knowledge and skills in robotics, automation, microprocessors, and intelligent systems. It emphasizes practical learning through laboratory experiments, projects, and industry internships, preparing graduates to solve complex engineering challenges. With applications in industries such as automotive, aerospace, manufacturing, and healthcare, mechatronics professionals are in high demand globally. The curriculum includes modules on advanced robotics, embedded systems, sensor technology, and artificial intelligence, fostering innovation and research capabilities. Graduates can pursue careers as robotics engineers, automation specialists, or researchers in cutting-edge technological domains.

M.Tech. in Machine Learning is a specialized postgraduate program designed to equip students with advanced skills in machine learning, artificial intelligence, and data science. Typically spanning 2 years, the course covers core subjects such as statistical learning, deep learning, reinforcement learning, natural language processing, and algorithm design. Students gain hands-on experience in building models, data analysis, and implementing machine learning algorithms across various domains like healthcare, finance, and robotics. The program is ideal for individuals aiming for careers as data scientists, AI researchers, or machine learning engineers. Admission requirements usually include a background in computer science or related fields, and graduates are well-prepared to tackle complex problems in industries increasingly driven by AI and automation.

B.Tech. in Biochemical Engineering is a 4-year undergraduate program that combines principles of chemical engineering with biological sciences to design processes for the production of biochemicals, pharmaceuticals, food, and biofuels. The course covers subjects like bioprocess engineering, molecular biology, fermentation technology, biochemical reaction engineering, and bioinformatics. Students learn to design, optimize, and scale up bioprocesses while gaining practical skills in laboratory work, bioreactor operations, and biochemical product development. The curriculum integrates theoretical knowledge with hands-on experience, often through projects, internships, and industrial visits. Graduates are equipped to work in industries such as biotechnology, pharmaceuticals, food processing, and environmental management, or pursue research and development in the field of biochemical and bioengineering.

M.Tech. in Biochemical Engineering is a 2-year postgraduate program that integrates principles of chemical engineering with biological sciences to address challenges in biotechnology, pharmaceuticals, food processing, and environmental engineering. The course covers a variety of topics, including bioprocess engineering, fermentation technology, bioinformatics, enzyme technology, and bioreactor design. Students gain in-depth knowledge of the production and optimization of bioproducts, as well as the processes used in the manufacture of biological products. The program also emphasizes research, analytical techniques, and the development of sustainable, eco-friendly technologies. Through a combination of theoretical coursework, laboratory work, and industry internships, graduates are prepared for careers in biotechnology companies, pharmaceuticals, research institutions, and government agencies, or may continue with doctoral studies in biochemical engineering or related fields.