Master of Technology in Mechanical Engineering with Specialization in Thermal & Fluid Engineering

at Sharda University India

B.Tech. in Stem Cell & Tissue Engineering is a four-year undergraduate programme that provides extensive training in the science and practice of tissue engineering in all aspects from theoretical, to testing and clinical application. The programme targets those students that wish to pursue a career in biomedical or life sciences. 
 
The curriculum of this programme is designed in such a way so that students get deep insights into the theoretical as well as experimental aspects of the stem cell and tissue engineering with the help of industry experts and potential employers. Additionally, the students also learn about laboratory management programs and various ethical issues that concern stem cell and tissue engineering research. 
 
The aim of this programme is to prepare students to build up their research acumen by doing individualised projects using different types of stem cell experimental approaches so that they can readily integrate into the scientific workforce in stem cell industry and meet the needs of highly qualified technical and managerial personnel.

After completion of the course, students can opt their careers as research scientists and corporate professionals in universities, hospitals etc.

M. Tech (Electrical & Electronics Engineering) Instrumentation & Control is a two-year post-graduate programme intended to equip students with knowledge of measurement and control of process variables in a production procedure. The coursework of the programme includes concepts related to electronics and pneumatics instrumentation, measurements of flow, level, temperature and pressure, control loops, and more.

Under this programme, students are trained for the designing, construction and maintenance of the entire instrumentation systems of any industrial undertaking. In addition, the aspirants also gain skills to manage projects within cost and time constrained environments. Graduates from this programme can find employment in manufacturing, power generation, aerospace and process industries.

Master of Computer Applications is a three-year post-graduate programme with curriculum primarily based on the development of application software in diverse areas. The entire programme is aimed to develop students foundational skills of various technologies focused on the conceptual framework.   The programme provides the latest industrial elective courses and project work.

The programme is designed to meet the growing demand for qualified professionals in the field of Information Technology. It is inclined more towards Application Development and, thus, lays more emphasis on the latest programming language and tools to develop better and faster applications. This programme equips students with the knowledge of the development of application software for diverse fields to solve specific problems for the end users or clients.

In addition, the programme also emphasises upon planning, designing and building of complex commercial application software and system software. The financial security, freedom to relocate and the lifelong prospect of learning make this programme an ideal career for computer science enthusiasts.

A four-year undergraduate programme in Electronics and Communication with a Specialization in Embedded Systems will concentrate on using technology and applied mathematics to solve practical problems in the field of communications. In general, the curriculum aims to instil a thorough understanding of signals, circuits, and how to use differential equations techniques to produce exceptional products.

The curriculum begins with an introduction to the fundamentals of Embedded Systems, Electronics Engineering, Digital Signal Processing, Computer Networks, Analog Electronics, and Network Theory for students. The curriculum progresses through topics such as digital communication, computer architecture, and technical skill enhancement.

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 & 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.

Department of Biotechnology started with a vision to impart in-depth knowledge of biotechnology to create a pool of scientific personnel with expertise in biological engineering. Since then the department has endeavoured to educate and train its students to develop proficiency in each sector of biotechnology. The scheme of courses has been designed keeping in the demand trend in mind. A conscious effort has been made so that curriculum of each programme integrates courses of biological sciences and engineering together with relevant laboratory programs and a compulsory research project of variable duration. The university has recognized the significant role being played by biotechnologists in industrial development and has sought to implement an integrated approach towards education and research. The department strongly believes a teacher has to be involved in active research to be in touch with the recent development in the subject so as to deliver the latest know-how. The department has a strong interdisciplinary research and teaching base in biological sciences and engineering which prepares the student for industry as well as research programs. 

All the basic infrastructural facilities needed for conducting teaching and research programmes in different areas of Biotechnology have been developed in the department. The department is housed in a newly constructed building consisting of classrooms with audio-visual facilities well-equipped students laboratories research laboratories special lab for molecular biology genetic engineering plant tissue culture Microbial technology nano biotechnology and bioinformatics. the students undergo project training in modern biotechnology viz bioinformatics genomics nano biotechnology cancer cell signaling plant and animal Biotechnology structure base drug design neuro biology etc.

M.Tech CSE Networking & Cyber Security is a two-year post-graduate programme that deals with the study of network computing, troubleshoot, cryptography and laws. The objective of the programme is to provide expertise in overseeing and keeping up the security and system structure. This programme is useful to learn how to actively monitor and defend the network and, furthermore, make fundamental security approach and methods.

This programme helps students to utilise cybersecurity measures to protect the data and manage the personal conduct in relation to protecting the data and information. In addition, this post-graduate programme train students to scale up the demand from multiple industrial areas on the cyber world to promote effective methods practices and tools to counter the cybercrime.  

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 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.