at Sharda University India
Overview
B. Tech in Computer Science (Cloud Technology and Virtualization) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations in the field of cloud technologies and virtualization.
On the front of Cloud Technology, It is an on-demand technology where users utilize the IT resources over the internet platform and work on pay-per-use mechanisms instead of the previous subscription-based technologies. Where on the front of Virtualization, It gives idea about the technology to generate virtual instances of computer resources for multiple uses of the same physical resource. The Course include the fundamentals and detailed introductions of such virtualization technologies which are capable of virtualizing the resources as the server, storage, networks, and operating systems and provide them as a service on demand bases. This specialisation is designed to enable students to build/ configure the smart on demand services / software, or applications with a combination of cutting-edge technical solutions for individual and business problems as analytics and business visualisation. The main objective of the course is to prepare student as industry-ready that’s why this programme is design with strong industry linkage and offer students adequate flexibility to pursue electives and projects of their choice. To enable the students to keep pace with changing technological advances, university has industrial tie-ups with various industries for placements/ internships. Studying these courses as a part of the curriculum would provide an assured entry to the industry.
30
Application Processing Days
Under Graduate
Program Level
Full Time On Campus
Study Mode
48
Duration
Sharda University
Location
$200000
Tuition Fee
$NA
Average Cost of Living
$0
Application Fee
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30
Application Processing Days
Full Time On Campus
Program Intensity
Under Graduate
Program Level
48
Duration
B. Tech in Computer Science (Cloud Technology and Virtualization) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations in the field of cloud technologies and virtualization.
On the front of Cloud Technology, It is an on-demand technology where users utilize the IT resources over the internet platform and work on pay-per-use mechanisms instead of the previous subscription-based technologies. Where on the front of Virtualization, It gives idea about the technology to generate virtual instances of computer resources for multiple uses of the same physical resource. The Course include the fundamentals and detailed introductions of such virtualization technologies which are capable of virtualizing the resources as the server, storage, networks, and operating systems and provide them as a service on demand bases. This specialisation is designed to enable students to build/ configure the smart on demand services / software, or applications with a combination of cutting-edge technical solutions for individual and business problems as analytics and business visualisation. The main objective of the course is to prepare student as industry-ready that’s why this programme is design with strong industry linkage and offer students adequate flexibility to pursue electives and projects of their choice. To enable the students to keep pace with changing technological advances, university has industrial tie-ups with various industries for placements/ internships. Studying these courses as a part of the curriculum would provide an assured entry to the industry.
Engineering & Technology
Bachelor of Technology in Mechanical Engineering with Specialization in Digital Manufacturing
B.Tech Mechanical Engineering with specialization in Digital Manufacturing is for individuals who are willing to change the landscape of product design and its manufacturing. You will be introduced to modern systems, processes, modelling and simulation tools that creates an integrated approach to manufacturing, thereby shifting from traditional hardware-based methodologies to digital processes in the manufacturing industry.
Students who are looking to transform the way a product is manufactured across the globe and become a part of modern manufacturing systems viz. additive manufacturing, robotics, industrial IoT and Embedded technology etc. in roles such as production engineer, quality control engineer, R& D engineer etc.
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This specialized programme focuses on instilling skills related to design, development, observation, and application of Digital Communication circuits & systems.
The programme curriculum includes subjects like Digital Electronics, Modern DSP, Antenna Theory and Design, Error control and coding, Advanced Embedded System, and Advanced Computer Architecture that enable the students to gain excellent technical knowledge to solve real-world problems.
In addition, this programme also gives an overall idea of basic modulation techniques, introduction to orthogonal frequency division multiplexing and an insight into the channel coding techniques specifically taking convolution coding.
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It is a specific field of engineering dealing with alternative energy technologies, energy efficient technologies, demand-side management, facility management, power plant engineering, and environmental compliance.The programme provides the graduates with the knowledge base and the practical knowledge of how to use energy in the most environmental friendly and in an economical way.
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Few of the topics under this specialisation include Software Requirement and Estimation Software, Quality Metrics and Testing Software, Architecture and Design Patterns, IOT Agile based Software Engineering, Secure Software Engineering, and Component-Based Software Engineering.
The balanced coursework of the programme enable students to practice their learnings in the fully-equipped labs at the University. Post completion of the programme, the students can find employment in the field of research, academics, design & development in software and co-design technologies or any other closely related field.
24 month
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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.
48 month
Duration
$ 200000
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Bachelor of Technology in Electronics and Communication Engineering with Specialization in Robotics and Automation
Bachelor of Technology in Electronics with specialization in Robotics and Automation will be a four-year graduate program designed to provide students with a comprehensive and deep understanding of technology and current practices in the field of Electronics Engineering along with its specialized applications in the domain of 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.
48 month
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Bachelor of Technology in Computer Science & Engineering Specialization in Cloud Technology & Virtualization in Association with AWS
B. Tech in Computer Science (Cloud Technology and Virtualization) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations in the field of cloud technologies and virtualization.
On the front of Cloud Technology, It is an on-demand technology where users utilize the IT resources over the internet platform and work on pay-per-use mechanisms instead of the previous subscription-based technologies. Where on the front of Virtualization, It gives idea about the technology to generate virtual instances of computer resources for multiple uses of the same physical resource. The Course include the fundamentals and detailed introductions of such virtualization technologies which are capable of virtualizing the resources as the server, storage, networks, and operating systems and provide them as a service on demand bases. This specialisation is designed to enable students to build/ configure the smart on demand services / software, or applications with a combination of cutting-edge technical solutions for individual and business problems as analytics and business visualisation. The main objective of the course is to prepare student as industry-ready that’s why this programme is design with strong industry linkage and offer students adequate flexibility to pursue electives and projects of their choice. To enable the students to keep pace with changing technological advances, university has industrial tie-ups with various industries for placements/ internships. Studying these courses as a part of the curriculum would provide an assured entry to the industry.
48 month
Duration
$ 200000
Tuition
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The curriculum for this programme equips students to understand and implement the principles of soil mechanics and rock mechanics for investigation and study of subsurface materials & conditions. Post completion of this programme, students will be able to identify, generate and interpret data, apply numerical methods for modelling, and analyse problems, evaluate the quality of data through testing and measurement equipment and test critical hypotheses using logical and consistent quantitative or qualitative arguments.
24 month
Duration
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Tuition
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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.
48 month
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