Master of Computer Application

at Sharda University India

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.

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.

M.Tech in Civil Engineering with specialisation in Environmental Engineering is a two-year post-graduate programme focused on management of water resources land and air pollution. The programme imbibes key scientific mathematical and computational concepts for solving the traditional and emerging environmental issues in different geographical settings.

The main objective of the programme is to develop technocrats that can work towards minimising the adverse effects of anthropogenic activities on the environment and ensuring the provision of a safe and healthy environment for human beings. The programme also enlightens individuals to devise ways to restore soil, air and water quality at already contaminated sites.

An adequate number of elective courses are available in the areas of Sustainable Development, Renewable Energy, Green Buildings, and Environmental Auditing to enable a deeper understanding of contemporary and emerging sub-disciplines. It is an interdisciplinary programme preparing students for careers in industrial research and academia.

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.

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.

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.

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.

Cryptology and cyber security program aims to be on the forefront and has to necessarily have a good balance between theoretical and practical aspects, analytical methods and system architectures, academic ideas and industry practices. It gives significant thrust to technology, practice, management, and policy issues.

This M. Tech program is of four semesters. It will be providing necessary theoretical background, insight into general and technical aspects of Cryptology and Cyber Security, analytical methods and management practices in the field of Cyber Security and related areas for moldings the student into an Information/cyber security professional.

The entire program will focus on cryptology and communication security, Streaming data analytics over networks, Data Center Security, Cryptanalysis through linguistics, heuristics, statistical learning, machine learning, and analysis of hardware and embedded systems security. These courses will also focuses on theory and practice of authentication, authorization, and access control techniques.       

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.

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.