Bachelor of Technology in Electrical and Electronics Engineering with Specialization in Renewable Energy Systems

at Sharda University India

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.

M.Sc. in Computer Science is a two-year post-graduate programme with the objective to develop human resources with core competence in various thrust areas of Computer Science. The programme includes software engineering, system development, natural computation, mathematical foundations and artificial intelligence. Other modules include programming, data analytics, software development, applied communications, network architecture, and database design. The coursework of the programme focus on preparing students for innovation within major tech companies or entrepreneurship within startup ventures. 

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.

M.Tech. in Civil Engineering with specialization in Structural Engineering is a two-year postgraduate programme that involves the analysis and design of steel and concrete structures and analysis of structures for dynamic forces and study of advanced materials. It requires knowledge and competence in the areas of materials, response of individual structural components, and the behavior of entire structural systems. This programme trains individuals in advanced concepts of structural engineering by in-depth coursework, hands-on modeling projects and dissertation work. Students undergo coursework during the first year on various aspects of structural engineering and apply these constructs to a major research project during the second year. Students are imparted advanced learning in Analysis and Design of Structures, Structural Dynamics and Earthquake Resistant Design of Structures, Repair and Rehabilitation of Structures and Advanced Materials. The students are exposed to practical learning by working on real-world projects in the Structure Design lab integrated with latest design software and construction material lab. The practical lab sessions require students to apply theoretical knowledge to realize their value through implementation. The objective of the program is to produce structural engineers who integrate and build on the Program's core curricular concepts in the pursuit of professional leadership, teamwork, life-long learning, and career advancement.  

Company analytics (BA) refers to the skills, technology, tools, and procedures used to continuously explore and investigate historical business performance in order to generate insight and drive business orchestration for increased profits. Business analytics is concerned with gaining preliminary insights and knowledge of a company's performance based on available data and statistical approaches.

Quantifying the Business World, Predictive Modeling and Analytics, Marketing Analytics, and more courses are included.

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.

B.Tech in Computer Science in IOT & application imparts firm foundation in computer science wireless communication and computer networks. The programme aims to train students with systematic professional knowledge and strong practical skills in the fields of computer technology communications networks and IT that provides a wide range of applications in the Internet of Things. 

The programme equips students with strong skill for sensor network design and network planning for IoT. The topics include- Introduction to IoT Understanding IoT in Market perspective Data and Knowledge Management and use of Devices in IoT Technology Understanding IoT Architecture and the application of IOT in various technologies.

This programme aims to train students to be equipped with a solid theoretical foundation systematic professional knowledge and strong practical skills in the fields of computer technology communications networks and IT that provides a wide range of applications in the Internet of Things. 

Under the 4-year B.Tech in Information Technology Programme, the IT academicians prepare students to learn to programme in a higher-level language, work effectively with a client and members of a software development team to analyse specify design implement test and document software that meets the client s needs. It also prepares students to acquire new computer-related skills independently as technologies evolve communicate technical concepts to non-technical persons, develop a plan to integrate hardware and software into a particular environment and conduct themselves in an ethical and professional manner.
 
Students who wish to continue studies after completion of their B.Tech. in IT degree can pursue M.Tech. Degree in Information Technology, PG Diploma in Information Technology, M.Sc. in Information Technology, a Certification course in embedded technology, VLSI, robotics, ethical hacking, etc.   

The course teaches the fundamentals of banking, insurance, and finance. The course covers the fundamentals of banking, finance, insurance, banking law, and accounting, among other topics.

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.

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.

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.