B.E. Civil Engineering is a 4-year full-time undergraduate engineering course deals with the construction, design, and maintenance of structures and works like tunnels, bridges, buildings, canals, waterworks, airports, sewage systems, waterways and canals, highways and railroads, dams and powerhouses, sewage disposal system, water treatment, ports, harbours, docks, etc. B.E. Civil Engineering course introduces the elements of surveying with construction on applications for the construction process.

B.E.  Electronics and Telecommunications or Telecom Engineering is a 4 year undergraduate engineering course, deals with core areas such as analog & digital transmission, video, voice and data reception, electronics, micro-processors, satellite communication and analog integrated circuits. Subjects studied under this degree are digital systems, digital Signal processing, Fuzzy logic and neural networks, VHDL and VLSI, digital communication, embedded system, Microprocessors & micro controllers and microwaves.

B.E. Electrical & Electronics Engineering (EEE) is 4-year undergraduate degree course that deals with all the areas of electronics and electrical engineering. Those areas include circuits, machines, Power systems, instruments etc. Electrical Engineering is responsible for generating, transferring and conversion of electric power. Electronic engineering is an engineering field that deals with transmission of information using radio signals. The main objective of this course is to make the students more productive and professionally more innovative in the field of electronics and electrical industry.

B.E. Mechanical Engineering is a 4-year undergraduate Engineering course, deals with the study of mechanics, kinetics, statistics, material science, thermodynamics, and structural dynamics used in development, designing, production, construction, operation, installation, and maintenance of machines, tools, and various other mechanical equipment. B.E. Mechanical Engineering course introduces fundamental concepts of machine design system and machine operation. In this course, candidates learn the physical properties of motion, force, stress, and principles of equilibrium, elasticity, compatibility and the behaviour of machines.

B.E. Information Science and Engineering is an Under Graduate 4 year course with a specialization in the field of computer science and Information Technology related aspects. The aim of the course is to provide students sufficient knowledge and skills that would be required to channelize their learning in a practical sense when they enter the job market. Information Science Engineers have a wide range of opportunities to choose from in terms of job opportunities such as Software engineer, IT Manager, Software Tester, Application developer, Web designer etc.

B.E. Computer Science is a 4 year undergraduate engineering course deals with the construction, design, maintenance, operation of computer software and hardware. This course introduces the software and hardware aspects of both computer applications and computer design. The course explores the interaction between modern computer science and related technologies that have evolved design principles of engineering and mathematical into the developmental of modern computing systems.

B.E. Electronics and Communication Engineering (ECE) is a 4 year undergraduate degree program, deals with the investigation and study of design, installation, manufacture, and operation of electronic tools a, d equipment, telecommunication systems, systems and machinery, radio, computers, and TVs used in the computer industry, hospitals, entertainment media, defence forces and in numerous other areas. The program provides a sound establishment for people wishing to seek a career in Electronics & Communication engineering, control systems, communications, sensor systems and robotics through an assorted scope of practical experience and theoretical skills, exhibited with regards to real applications and design expertise and experience.

The Doctor of Philosophy (PhD) degree is intended primarily for students who desire a career in research, advanced development or teaching. PhD programs are designed to give students a broad background in mathematics and engineering sciences, together with intensive study and research experience in a specialized area. Doctor of Philosophy in Mechanical Engineering train students to use and advance their engineering skills to contribute to applied industry-focused mechanical and manufacturing research projects. Areas of research includes aerodynamics, fluid mechanics, turbulence, structural mechanics, aerospace engineering, composites, heat transfer, micro/nano fluid and solid mechanics and many more. We have experienced supervisors and extensive and advanced research facilities to support your individual research projects.

Ph.D. Electrical & Electronics Engineering (EEE) is a 3-year Doctoral level program in Electronic Engineering. The course comprises of in-depth research work and is subjective in nature, wherein the students are required to submit their research thesis at the end of the program to be rewarded the doctorate title. Course integrates the study of electrical field combining it with an in-depth research work. Students are introduced to the workings of electricity, electromagnetism, and electronics. Students after gaining a deeper perspective of the subject are made eligible to conduct research work and thereby generate thesis on their topic of interest.

The PhD programme in Electronics and Communication Engineering (ECE) is a research-based programme. The research can be in any of the broad areas in ECE. The core strength of the institute is currently in the following core areas: signal/speech /image processing, VLSI and embedded systems, robotics, and communications. The main emphasis of this programme is on a thesis. Work towards the thesis requires a good understanding the state of art in an area, problem formulation, original contributions based on analysis with sufficient mathematical rigour and validation. The research is expected to be of sufficient quality to be publishable in leading international journals and top conferences pertaining to an area of research.

Ph.D in Computer Science and Engineering is a 3 year course. Student should have cleared a bachelor’s degree with Computer Science as a subject or equivalent to this degree from a recognised University. The study aims to develop a dynamic researcher which enables them to adapt according to the ever changing needs in the field of computer science in the years to come. Research activity spans a broad spectrum of Computer Science and Engineering subjects which include Algorithm Design ,Artificial Intelligence , Big Data ,Cloud Computing ,Computer Architecture ,Computer Graphics, Vision & Game Sciences ,Human Machine Interaction (HMI) ,Machine Learning ,Semantic Interoperation using Ontology’s etc..

Artificial Intelligence and Machine Learning are the terms of computer science. ... Machine Learning : Machine Learning is the learning in which machine can learn by its own without being explicitly programmed. It is an application of AI that provide system the ability to automatically learn and improve from experience. Artificial Intelligence and Machine Learning is designed to inculcate technically sound knowledge in advanced learning systems that are based on algorithms of Artificial Intelligence and Machine Learning. AI is changing the way we work and live. AI is already creating tremendous amounts of value into the software industry and in sectors such as retail, travel, transportation, automotive, materials, manufacturing and so on. Understanding AI and knowing how to create AI powered applications gives you an edge in your career. AI is about teaching the machines to learn, act and think as humans. It is the application of computing to solve problems in an intelligent way using algorithms. AI systems typically demonstrate behaviours associated with human intelligence such as planning, learning, reasoning, problem-solving, knowledge representation, perception, psychology, manipulation, social intelligence and creativity. Machine learning is a subset of AI that uses computer algorithms to analyze data and make intelligent decisions based on what it has learned, without being explicitly programmed. Machine learning algorithms are trained with large sets of data and programmed to learn from examples. Machines do not follow rule-based algorithms. Machine learning is what enables machines to solve problems on their own and make accurate predictions using the provided data.

M. Tech in Machine Design is a 2- year post graduate program covering the essential concepts and processes involved in the design and manufacture of machines and machine- related items. The program is an offshoot of Mechanical Engineering, focussing on machine design using analytical, numerical and experimental approaches The course essentially focuses on areas like Theory of Elasticity and Plasticity, Theory of Plates and Shells, Advanced Vibrations, Finite Element Analysis, Kinematics Design, Tribology and Bearing Design, Fracture Mechanics, Experimental Stress Analysis, etc. enrolled students have the opportunity to work in the areas of design and analysis in association with faculty members on on-going research projects.

M. Tech Computer Science & Engineering is a 2 year postgraduate degree course gives the student in-depth knowledge and skills required in the computer science field. The course covers areas such as safe and secure systems, system integration, distributed and embedded systems, networks, software engineering, algorithms and logic, system on chip and digital systems. Pursuing M. Tech in Computer Science gives students an edge and prepares them for the industry.

Master of Computer Applications (MCA) is a 3 year postgraduate courses various aspects of computer applications. The course includes study related to computer languages, application of computer science in IT field, Data Structures, Mathematics involved in computer science, and alike.  MCA curriculum is inclined more towards Application Development and thus it has more emphasis on latest programming languages and tools. MCA course includes various aspects of computational theory, programming, algorithm design and optimization, network and database management, mobile technologies, electronics, mathematics, probability, statistics etc. BCA makes a base while MCA adds a specialized touch within the subjects studied in BCA.