Master of Technology in Electrical & Electronics Engineering - Instrumentation & Control

at Sharda University India

M. Tech (Biotech) Animal Biotechnology is a two-year post-graduate programme that combines both biological sciences and engineering with relevant lab sessions to offer students in-depth knowledge of the subject. The purpose of the proposed programme is to make the aspirants learn biotechnology-oriented basic and applied research programmes for improving animal productivity.

The programme intends to help the students develop innovative dairy processes for producing superior quality, safe and wholesome dairy products. Under this programme, students will also learn the animal reproductive processes to develop methods for improved animal health and regulated production. In addition, they will be exposed to monitor animal nutritional plans and feed combinations.

B.Tech. in Mechanical Engineering with specialization in Mechatronics Engineering course is a 4 years full time graduate course which is divided into 8 semesters. This course is an amalgamation of Mechanical and Electronics engineering which prepares the students to comprehend and solve complex problems related to system design computer electronic mechanical and control engineering. The objective of the course is to make students ready for a future that will have automation and robotics as the primary drivers of the technological world.

B. Tech in Computer Science & Engineering is a four-year undergraduate programme that provides the students an ability to design a hardware/software system, component, or process to meet desired needs within realistic constraints. 

After the successful completion of the programme, a student will be able to function on multi-disciplinary teams, formulate, and solve engineering problems and designing & comparing solutions, algorithms, and protocols. The programme lays emphasis on Digital Transformation Technologies that focus on building the mathematical and algorithmic concepts of the students. 

The curriculum includes knowledge of the operating system, programming language, database, Networking, Software Testing, Software Development, Frontend, Software Development backend, Network Design, Network Management, Database Administrator, Data Analytics, Software Testing and Maintenance, and System Software Development etc. 

The programme is designed with strong industry linkage to make students industry-ready and offer students adequate flexibility to pursue electives and projects of their choice.

M.Sc. Big Data and Analytics is a postgraduate programme in the field of information science. The duration of the M.Sc Big Data and Analytics program is two years and consists of four semesters of study. The course covers Big Data, Analytics, Statistics, Forecasting, and Mathematics, among other topics.

M.Sc. Big Data and Analytics is a course that focuses on producing marketable talents in the Data Science industry by generating a professional sense of analytical and technical abilities for people with quantitative aptitude who are interested in Data Science and Big Data Analytics.

B.Tech. in Mechanical Engineering with specialization in Automobile Engineering is a 4 years full time graduate course which is divided into 8 semesters. This course is designed and taught primarily to impart hands on experience to the students in the field of automobile engineering with the basis as mechanical engineering. The students are made familiar with modern technologies involved in fabrication and working of all types of automobiles and auto components. The primary focus is to provide the students with the skills for their growth in the automobile sector.

B. Tech in Computer Science with specialisation in Data Science & Analytics is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. The programme encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems.

The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems. The programme imparts a confluence of skills in three major areas of mathematical expertise, technology hacking skills and business strategy and acumen. 

The core of this programme is the ultimate use of enormous data in creative ways to generate business value. Hidden insights are brought to the fore to enable companies to make smarter business decisions. Data Science programme orients on practical classes and self-study during the preparation of datasets and programming of data analysis tasks.

Bachelor of Technology in Block Chain Technology is a four-year undergraduate programme that familiarises students with the functional and operational aspects of the cryptocurrency ecosystem. During the tenure of this programme, students develop an understanding of the emerging abstract models for Blockchain Technology.

The primary objective of this course is to identify significant research challenges and technical gaps existing between theory and practice in cryptocurrency domain and to quickly configure a new development platform to understand the applications of blockchain in cybersecurity, the integrity of information, E-Governance and other contract enforcement mechanisms.

M. Tech. Electronics & Communication Engineering (VLSI Technology) is a two-year post-graduate programme encompassing the advanced study of modern Electronics and Communication techniques. This specialized programme focuses on instilling skills related to design, development, observation, and application of VLSI Technology.

The VLSI Technology program will cover the fundamentals and engineering aspect of designing and developing IC based systems. Traditionally, VLSI technology has emerged out as a successful collection of two streams: namely material science and electrical engineering.

The state of the art VLSI technology requires research in physical devices as well as novel design and development of electrical circuits. The program will focus on developing hands-on skill of designing semiconductor devices and circuits, architecting systems using embedded components such as, CPU, memory and peripherals.

Students will be trained in several topics that cut across different domain, starting from lowermost level of physical devices to the top level of application development. The programme also enhances research and development skills of the students and helps them to incorporate significant learning through practical sessions. Candidates looking for more exposure in this field can enroll for higher studies.

Bachelor of Science in Electronics with a Specialization in Robotics and Automation is a three-year graduate program designed to provide students with a comprehensive and deep understanding of technology and current practices in electronic engineering along with its applications in robotics, including digital systems and control systems.
 
This program helps students develop advanced integrated engineering knowledge, essential for success in the robotics industry and deals with the design, construction, operation and use of robots along with the computer systems for their control, information processing, and sensory feedback.
 
During this program, individuals learn how to manage robotic control systems, understand mechanics, applied electronics and machinery. Advanced mathematics is also an essential component of the degree.

B. Tech in Computer Science (Artificial Learning and Machine Learning) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence. 

This specialisation is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualisation technologies. The main goal of artificial intelligence (AI) and machine learning is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including systems that analyze past sales data to predict customer behaviour (financial management), recognize faces or spoken speech, optimize robot behaviour so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. 

This programme discusses AI methods based in different fields, including neural networks, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions.