Sharda University

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.

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. 

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.

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.