M.E. in VLSI (Very large Scale Integration) design is a post Graduate course in the area of electronics engineering with a specialization within the field of VLSI based circuit design.  M.E. in VLSI design course is framed in such a way that students are provided with practical and analytical outlook in relation to circuit designing involving VLSI. Students are taught about the various aspects related to the VLSI design like usage of design software programs, circuit simulation, circuit design, implementation, and testing.

M.E. Blockchain Technology is a 2 year course. Blockchain is a system of recording information in a way that makes it difficult or impossible to change, hack, or cheat the system. A blockchain is essentially a digital ledger of transactions that is duplicated and distributed across the entire network of computer systems on the blockchain.

M.E. Embedded Systems is a 2 year post graduate course. M.E. Embedded systems course gives a deep insight into the mathematics of the electrical engineering, fundamental and advanced topics in the embedded system, etc. The course affords a platform for the engineers and postgraduates to pay more attention towards research and development in the field of embedded systems.

The curriculum is designed to include the subjects related to the embedded systems area under the broad categories of the hardware and software related to the embedded system technologies. By pursuing M.E. Embedded systems, the skills you have received in a specific field are recognized as pre-standards for this advanced professional degree or in the industry. Your prior knowledge and experience is improved by post graduate studies which focus on your chosen profession.

ME Big Data and Data Analytics is a 2 year course. Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. In brief, big data is the infrastructure that supports analytics. Analytics is applied mathematics. Analytics is also called data science. That said, you can use big data without using analytics, such as simply a place to store logs or media files.

ME. Cloud Computing is a 2 year course. Cloud Computing is a practice of using a network of remote servers hosted on the internet rather than a local server or a personal computer to store, manage and process data. With rapid changes in technology, Cloud computing has become the driving force of business in recent years and has impacted on nearly every aspect of the Information Technology landscape including data and analytics, information security and project management.

ME Internet of Things is a 2 year course. The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. This course will describe the market around the Internet of Things (IoT), the technology used to build these kinds of devices, how they communicate, how they store data, and the kinds of distributed systems needed to support them.

ME Healthcare Data Analytics is a 2 year course. In the context of the health care system, which is increasingly data-reliant, data analytics can help derive insights on systemic wastes of resources, can track individual practitioner performance, and can even track the health of populations and identify people at risk for chronic diseases.

M.E. Machine Learning is a 2 year course which contains topics like exploratory data analysis, statistics, communication, and visualization techniques, machine learning courses focus on teaching only the machine learning algorithms, how they work mathematically, and how to utilize them in a programming language. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

M. Sc Information Sciences is a 2 year course. Information science is an interdisciplinary science primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval and dissemination of information.