School of Engineering

M.Tech. in Civil Engineering is a 2-year postgraduate degree that aims to give in-depth knowledge and advanced technical skills in structural engineering, geotechnical engineering, environmental engineering, transportation engineering, and water resources. This course combines theoretical concepts with practical applications, emphasizing research, problem-solving, and the innovative use of engineering approaches to meet real-world problems. Graduates are prepared to design and manage large-scale infrastructure projects that promote sustainable development and safety. This degree is appropriate for people who want to work in specialized civil engineering professions, research, or academia and requires a B.Tech. or equivalent in Civil Engineering for admission.

An advanced 2-year PG degree that explores the design, analysis, and maintenance of structural systems is the Master of Technology (M.Tech.) in Structural Engineering. Advanced subjects like finite element analysis, seismic engineering, advanced concrete technology, and structural dynamics are covered over here. To obtain real-world experience, students work in labs, conduct research projects, and frequently take part in industrial partnerships. Advanced structural design, computational techniques, and emerging building technologies are frequently covered in the curriculum. Graduates are prepared for positions in government organizations, construction corporations, research institutes, and structural design firms. With chances for more specialization through doctoral studies or professional certificates, they can work as structural engineers, consultants, or researchers.

The 4-year undergraduate Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering degree integrates concepts of electronic systems and electrical engineering. Circuit theory, power and control systems, digital electronics, and microprocessors are just few of the topics covered over here. Through design projects, laboratory work, and frequently finishing industry internships, students obtain practical experience. Modules on cutting-edge technology like robots, IoT, and renewable energy systems are frequently included in curriculum. Graduates are equipped for jobs in various  fields, like automation, consumer electronics, telecommunications, and power generation and distribution. With an emphasis on creativity, problem-solving abilities, and sustainable practices, the program prepares students to tackle today's issues in smart grids, energy efficiency, and electronic device design.

Students who complete a 3-year program leading to a diploma in mechanical engineering gain a foundational understanding of mechanical engineering concepts and procedures. Important topics covered in the curriculum include manufacturing processes, automation, fluid mechanics, thermodynamics, material science, and mechanical design. Through lab work, workshops, and industrial training, students also obtain real-world experience that equips them for applications in a variety of sectors. The curriculum aims to give students the abilities required for jobs in quality control, production, maintenance, and mechanical design. Graduates can work in industries like manufacturing, energy, automotive, and aerospace.

 

A 3-year undergraduate curriculum called a Diploma in Civil Engineering gives students the fundamental knowledge and abilities in civil engineering concepts and procedures. Fluid mechanics, building materials, surveying, geotechnical engineering, transportation engineering, and structural analysis are among the topics covered in the program. Through laboratory work, field trips, and hands-on training, students acquire practical expertise that equips them to help in the design, construction, and maintenance of infrastructure projects such as buildings, bridges, and roads. With opportunities in both the public and commercial sectors, the curriculum is perfect for anyone looking for jobs in design engineering, construction, or project management.

The 3-year Diploma in Computer Science & Engineering program gives students a foundational understanding of computer science and engineering concepts. Programming languages (C, C++, Java), computer networks, database administration, data structures, software engineering, operating systems, and web development are among the topics covered in the curriculum. Students have practical experience in software development, debugging, and coding, preparing them for technical positions in engineering and information technology. The curriculum is intended to give students the theoretical understanding and real-world skills they need to pursue employment in a variety of areas, including software development, network administration, hardware engineering, and IT support.

M.Tech. in Electrical & Electronics Engineering is a 2 year postgraduate degree that teaches advanced topics in electrical systems, electronics, and communications. The curriculum includes topics including power systems, control systems, digital signal processing, microelectronics, renewable energy, and electromagnetic fields. Students get practical experience through laboratory work, research projects, and industrial internships, preparing them for jobs in fields such as power production, electronics, telecommunications, and automation. The curriculum is meant to provide graduates with the necessary abilities to tackle challenging technical challenges. Admission usually requires a B.Tech. in Electrical, Electronics, or a similar engineering degree.

 M.Tech. in Electronics and Communication Engineering is a 2 year postgraduate degree that aims to provide advanced knowledge of electronics and communication systems. The course is divided into four semesters and includes topics like as wireless communication, embedded systems, VLSI design, signal processing, and microwave engineering. It integrates theoretical concepts with practical applications via lab work, projects, and research possibilities. This curriculum is perfect for students who want to specialize in cutting-edge technology, preparing them for careers in research, development, and industries such as telecommunications, electronics, and automation. It also serves as a stepping stone toward PhD studies and academic positions.

The Diploma in Electronics and Communication Engineering is a 3 year program designed to provide foundational knowledge and practical skills in electronics and communication systems. The course is divided into six semesters, covering topics such as circuit design, digital electronics, microprocessors, communication systems, and instrumentation. With a focus on hands-on training through labs and projects, students gain expertise in assembling, maintaining, and troubleshooting electronic devices and communication networks. This program is ideal for those seeking entry-level positions in industries like telecommunications, consumer electronics, and automation or pursuing further studies in engineering. It equips students with the skills for a successful technical career.

 Diploma in Electrical and Electronics Engineering (DEEE) is a technical program designed to provide students with foundational knowledge in electrical circuits, electronics, power systems, and control systems. The course typically spans 3 years and includes both theoretical studies and practical training. Students learn about electrical machines, microprocessors, instrumentation, digital electronics, and automation, with an emphasis on real-world applications. The curriculum also covers subjects like power generation, transmission, and electrical safety. Graduates can pursue careers in industries such as power generation, manufacturing, telecommunications, and automation, or continue further studies in engineering. This diploma equips students with essential skills for technical roles in the field.

 M.Tech. in Construction Engineering and Management is a 2-year postgraduate program designed to equip students with advanced knowledge and skills in construction management, project planning, and execution. The course covers key areas such as construction techniques, contract management, construction economics, project risk management, and sustainable construction practices. Students will also acquire expertise in using modern tools and technologies for effective project management, including software for scheduling, cost estimation, and quality control. The program blends theoretical learning with practical experience through internships, industry projects, and case studies. Graduates of this program are well-prepared for leadership roles in the construction industry, managing large-scale projects and ensuring timely, cost-effective, and safe completion.

 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.

 B.Tech. in Computer Science & Engineering (CSE) – Lateral Entry is a specialized program designed for students who have completed a diploma in engineering or a related field. This 3-year undergraduate course allows students to directly enter the second year of the B.Tech. program, enabling them to complete their degree in a shorter time compared to the standard 4-year course. The program focuses on core subjects such as programming, data structures, algorithms, computer networks, software engineering, and artificial intelligence, preparing students for diverse roles in the tech industry. Graduates are equipped with the skills needed for roles in software development, systems analysis, and IT management, making them highly employable in both national and international job markets.

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.

M.Tech in Transportation Engineering is a 2-year postgraduate program that focuses on the design, development, and management of transportation systems. The course covers key areas such as traffic engineering, highway design, transportation planning, public transport systems, traffic management, and infrastructure development. Students also explore advanced topics like intelligent transportation systems (ITS), urban mobility, sustainable transport, and the environmental impact of transportation. The program integrates theoretical knowledge with practical application through projects, case studies, and internships, helping students develop expertise in solving real-world transportation challenges. Graduates of this program are equipped to work in government agencies, urban planning, transportation consultancy, and infrastructure development firms, or contribute to research and policy-making in the transportation sector.

The PG Diploma in Artificial Intelligence and Machine Learning is a comprehensive program designed to equip students with advanced knowledge and practical skills in AI and ML. The course duration is typically 12 months, offering an in-depth exploration of various topics such as machine learning algorithms, data analysis, deep learning, neural networks, natural language processing, and AI applications. The curriculum combines theoretical learning with hands-on projects, allowing students to apply concepts to real-world problems. Upon completion, graduates will be well-prepared for careers in AI, data science, and machine learning, with expertise in building intelligent systems and analyzing large datasets. This course is ideal for professionals looking to upskill or switch to a career in AI and ML.

 Diploma in Big Data Analytics (Lateral Entry) is an advanced program designed for individuals with prior knowledge in data science, programming, or related fields. This course, typically spanning 1 year, focuses on data mining, machine learning, cloud computing, and statistical analysis to equip students with skills for handling large datasets efficiently. It covers Python, R, Hadoop, Spark, SQL, and NoSQL databases, along with real-world applications in business intelligence and predictive analytics. The lateral entry pathway allows students to skip introductory modules, accelerating their learning process. Graduates can pursue careers as data analysts, business intelligence professionals, or big data engineers in industries like finance, healthcare, and IT, where data-driven decision-making is crucial.

Diploma in Blockchain Technology - Lateral Entry is a specialized program designed for individuals with prior academic qualifications in computer science, IT, or related fields. This course enables students to build on their existing knowledge and delve deeper into the principles, applications, and architecture of blockchain technology. The program typically spans 1- 2 years, depending on the institution and delivery mode. Topics covered include cryptography, smart contracts, decentralized applications (dApps), consensus algorithms, and blockchain security. Students will gain hands-on experience in blockchain development, enabling them to create and deploy blockchain-based solutions. Graduates can pursue careers in blockchain development, cryptocurrency technologies, cybersecurity, and supply chain management, among other fields, contributing to the rapidly evolving digital economy.

Diploma in Cloud Computing - Lateral Entry is a specialized program designed for individuals who have already completed their foundational education in technology-related fields. This course typically spans 1 - 2 years, depending on the institution and the student's prior qualifications. It focuses on the fundamentals of cloud infrastructure, cloud services, and cloud security, while also providing hands-on training in deploying and managing cloud platforms like AWS, Microsoft Azure, and Google Cloud. Students acquire expertise in cloud architecture, virtualization, storage solutions, and network management, preparing them for roles such as cloud administrators, cloud engineers, and systems architects. The program often includes practical projects, internships, and certification opportunities to enhance employability in the rapidly growing cloud computing industry.

Diploma in Cyber Security - Lateral Entry is a specialized program designed for individuals who already hold a foundational qualification in a related field. This course typically spans 1 - 2 years, depending on the institution's structure and the entry-level of the candidate. The curriculum focuses on providing in-depth knowledge and hands-on skills in areas such as network security, encryption techniques, ethical hacking, risk management, and data protection. It equips students with the expertise needed to safeguard computer systems, networks, and sensitive information from cyber threats. This diploma program is ideal for those looking to advance their career in the rapidly growing field of cybersecurity and gain practical, industry-relevant experience in defending against cyberattacks.

 Diploma in Data Science - Lateral Entry is designed for individuals who have prior qualifications in related fields and wish to further enhance their knowledge in data science. The course typically spans 1 - 2 years, depending on the institution, and is structured to build expertise in key areas such as data analysis, machine learning, artificial intelligence, statistical modeling, and data visualization. Lateral entry students can skip certain introductory modules and directly engage in advanced concepts. The curriculum often includes hands-on projects, industry-relevant tools (e.g., Python, R, SQL), and real-world case studies to ensure practical learning. Upon completion, graduates are equipped for roles in data analysis, data engineering, and machine learning development in various sectors like technology, healthcare, finance, and more.