School of Engineering

M.E. in Computer Science & Engineering normally takes 2 years to complete and focuses on advanced topics in computing, software, and systems engineering. Core courses include Advanced Algorithms, Computer Networks, Machine Learning, Artificial Intelligence, Data Structures, Database Management Systems, Operating Systems, and Cybersecurity. The program focuses on research, problem solving, and hands-on experience through projects and internships. Students gain competence in fields such as software development, data analytics, and network security. Graduates may pursue professions in software engineering, data science, artificial intelligence, IT consulting, or cybersecurity. A thesis or capstone project is frequently required for completion, which encourages actual application of taught principles.

M.E. in Artificial Intelligence & Machine Learning is a 2-year postgraduate program that provides advanced knowledge and practical skills in AI and ML technologies. The course covers topics such as neural networks, deep learning, natural language processing, computer vision, reinforcement learning, and data science. Students learn to develop algorithms, models, and systems capable of solving complex real-world problems across various domains, including healthcare, finance, robotics, and autonomous systems. The program combines theoretical lectures with hands-on training, research projects, and internships, preparing students for careers in AI development, data analytics, and machine learning engineering. Graduates can work as AI/ML engineers, data scientists, research scientists, or pursue further academic opportunities in AI and related fields, contributing to the ongoing technological advancements in AI and automation.

B.E. in Data Science is a 4-year undergraduate program designed to equip students with the skills needed to analyze and interpret complex data sets. The course covers foundational topics such as statistics, machine learning, data mining, data visualization, programming languages (Python, R), and big data technologies. Students also learn about artificial intelligence, cloud computing, and database management systems. The curriculum combines theoretical knowledge with practical experience, including hands-on projects, internships, and research. This interdisciplinary program prepares students for careers in various industries such as finance, healthcare, marketing, and technology, where data-driven decision-making is crucial. Graduates can work as data scientists, analysts, machine learning engineers, or pursue further studies in advanced data analytics or related fields.

M.E. in Structural Engineering is a 2-year postgraduate program that focuses on the design, analysis, and construction of buildings, bridges, and other infrastructure. The course covers advanced topics such as structural dynamics, concrete and steel design, earthquake-resistant structures, and computational methods in structural analysis. Students gain in-depth knowledge of materials, load-bearing systems, and construction techniques, while also developing skills in the use of software tools for structural modeling and analysis. The program includes practical learning through lab work, design projects, and internships with engineering firms. Graduates are prepared to take on leadership roles in construction projects, research, and design in civil engineering firms, government agencies, and academic institutions, or to pursue further research in the field of structural engineering.

M.Tech. in Molecular Medicine is a specialized postgraduate program designed to train students in the application of molecular biology techniques to understand human diseases and develop therapeutic strategies. The course typically spans 2 years and offers in-depth study in molecular genetics, cell biology, genomics, and biochemistry. Students gain a strong foundation in molecular diagnostics, drug development, and personalized medicine. The curriculum combines theoretical knowledge with practical laboratory skills, preparing graduates for roles in medical research, pharmaceutical industries, or healthcare settings. The program also focuses on the ethical implications of medical research and the role of molecular medicine in modern healthcare. Graduates are equipped to contribute to advancements in molecular diagnostics and precision medicine.

 M.Tech. in Bio-Material Science & Engineering is a postgraduate program that typically spans 2 years (four semesters). It focuses on the study of materials that interact with biological systems, aiming to develop and improve materials used in medical applications, such as implants, prosthetics, and drug delivery systems. The course covers a wide range of topics including biomaterials, biocompatibility, tissue engineering, nanotechnology, and fabrication. Students also explore the principles of material science, molecular biology, and biomechanics as they apply to medical devices and regenerative medicine. The program combines theoretical knowledge with practical lab work, fostering the development of advanced skills necessary for designing, testing, and evaluating biomaterials for various healthcare applications.

 B.Tech. in Dental Technology is a specialized undergraduate program that focuses on the design, creation, and maintenance of dental prosthetics, devices, and equipment. The course typically spans 4 years and is divided into eight semesters, covering both theoretical knowledge and practical skills in areas such as dental materials, prosthodontics, dental radiology, and orthodontics. Students are trained to assist dental professionals in fabricating crowns, bridges, dentures, and other dental appliances. The program also involves exposure to the latest dental technologies, including CAD/CAM systems and 3D printing. Upon completion, graduates are equipped to work in dental laboratories, hospitals, or private practice, contributing to the overall dental healthcare sector by ensuring the precision and quality of dental restorations.

 Bachelor of Engineering (B.E.) in Bioinformatics is a 4-year undergraduate program designed to integrate principles of biology, computer science, and information technology. The course aims to equip students with the skills to analyze and interpret biological data, using computational tools and techniques to solve complex problems in biotechnology, genetics, and medicine. The curriculum typically includes subjects like molecular biology, algorithms, data structures, programming, statistics, database management, and bioinformatics tools. Practical training and project work are integral to the program, ensuring students are prepared for research, development, or clinical applications. Graduates can pursue careers in pharmaceutical companies, healthcare, academic research, or technology firms, contributing to the development of new medical treatments and innovations in biotechnology.

 Bachelor of Engineering (B.E.) in Computer Science and Engineering with a specialization in Cyber Security is a 4-year undergraduate program designed to provide students with a comprehensive understanding of computer systems, networks, and the protection of data from cyber threats. The curriculum covers key areas such as network security, cryptography, ethical hacking, digital forensics, cyber laws, and risk management. Students are trained to identify, analyze, and defend against a variety of cyber threats, ensuring the integrity and safety of information systems. The program emphasizes practical skills through labs, projects, and internships, enabling graduates to work as cybersecurity analysts, penetration testers, and security engineers. Upon completion, graduates are equipped with the expertise to tackle emerging cyber challenges in various industries.

Bachelor of Engineering (B.E.) in Computer Science and Engineering with a specialization in Artificial Intelligence (AI) is a 4-year undergraduate program designed to provide students with a comprehensive understanding of AI techniques, machine learning, data science, and advanced computational technologies. The curriculum includes core courses in programming, algorithms, data structures, computer networks, and software engineering, along with specialized subjects like neural networks, natural language processing, robotics, and AI ethics. Students acquire hands-on experience through labs, projects, and internships, preparing them for careers in AI-driven industries such as healthcare, finance, robotics, and autonomous systems. This program equips graduates with the technical expertise to design, develop, and implement AI-based solutions, making them highly sought after in the rapidly evolving tech landscape.