at Sharda University India
Overview
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.
30
Application Processing Days
Under Graduate
Program Level
Full Time On Campus
Study Mode
36
Duration
Sharda University
Location
$92700
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
36
Duration
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.
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Master of Technology in Mechanical Engineering with Specialization in Machine Design
M. Tech (ME) Machine Design is a two-year post-graduate programme that focuses on the concepts and processes involved in the designing & manufacturing of machines and machine related items. The considerations, procedures and principles of machine design are introduced to the students along with statistical concepts, engineering materials and their mechanical properties.
The programme facilitates the study of various materials required for the design of mechanical elements. In addition, it aims to endow knowledge of the behaviour of materials and systems in both elastic and plastic ranges, failure modes and mechanisms in both static and dynamic conditions. Besides classroom learning, students also get opportunities to be involved in projects that enhance their practical knowledge of the subject and prepare them for the industry-environment.
24 month
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Students are provided with opportunities to develop and hone core competency in the field of computer science and encourage them to make a mark in the much sought after IT industry. Guest lectures, case studies and presentations are organised from time to time to give an insight into the latest development and happenings in the industry.
24 month
Duration
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In addition, it equips students with the knowledge of designing and developing new systems by exploring new areas and applications. The major role of professionals emerging from this field is to create competent, conceptual designs and rectify all the issues in advance that are likely to surface in the final implementation.
24 month
Duration
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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
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Tuition
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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.
48 month
Duration
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The curriculum is aimed to ensure that students are familiar with aspects of the FinTech domain, such as cryptocurrency, digital cash, open banking, and other important innovations in the FinTech business, have a fundamental understanding of financial subdomains such as Banking, Capital Markets, Insurance, Payments, Crowdfunding, Digital Disruption and Transformation, etc., gain extensive knowledge of different concepts that are important in the FinTech business, such as big data, intelligent automation, cyber security, and Blockchain Technologies and Distributed Systems, Distributed Ledgers, and so on, and have understanding of Blockchain Technologies and Distributed Systems, Distributed Ledgers, and so on.
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24 month
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36 month
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Duration
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48 month
Duration
$ 168683
Tuition
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