(SCORE) - PG
School of Computer Science Engineering and Information Systems (SCORE)
The school offers postgraduate programmes in M.Tech [Software Engineering] and MCA, designed to cater to the ever-changing needs and demands of the IT industry. These programmes emphasize a strong foundation in advanced software development, system design, and IT management. Students also benefit from hands-on projects and exposure to emerging technologies, preparing them for leadership roles in the tech field.
- M.Tech Software Engineering (5 Year Integrated Programme)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
This 5-year integrated postgraduate programme offers a project-rich learning experience, preparing students to solve real-life societal problems using software engineering methodologies. Students have the opportunity to select courses from a well-balanced mix of foundational subjects, skill-based training, industry verticals, and emerging technologies. The programme's faculty members emphasize guiding students in innovative projects and research, fostering a strong orientation towards cutting-edge advancements.
Foundations of Electrical and Electronics Engineering / Applied Discrete Mathematical Structures / Applications of Differential and Difference Equations/Digital Logic and Microprocessor / Database Management Systems / Computer Architecture and Organization / Theory of Computation/Programming in Java / Software Engineering / Data Structures and Algorithms / Computer Networks / Software Testing / Software Project Management / Software Construction and Maintenance / Information and System Security / Software Design and Development Project
Basic Bioinformatics / Advanced Mathematics /Graph Theory and its Applications /Optimization Techniques /.Net Programming / Digital Image Processing/ Soft Computing/ E-Governance/ Multimedia Systems/ Enterprise Resource Planning / Biometric Systems/ Natural Language Processing /Human Computer Interaction/ Android Programming /Data Mining Techniques/ Embedded Systems/ Big Data Analytics/ Software Security/Advanced Java Programming/ Advanced DBMS/Mainframe Computing/ Semantic Web Technologies /Parallel Programming/ Object Oriented Analysis and Design /Design Patterns /Software Metrics /Software Configuration Management /Software Engineering Process, Tools and Methods /Automotive Software Engineering/ Software Reuse/ Personal Software Process/ Team Software Process/ Knowledge Management System/ Software Engineering Economics/ Agile Development Process/ Reverse Engineering/Global Software Engineering/ Knowledge Engineering / Sensor Networks /Software Quality and Reliability /Advanced Software Testing / System Programming/Cloud Computing /Distributed Computing /Geographic Information Systems /Internet of Things /Real Time Systems/Storage Technologies /High Performance Computing /Linux Programming /Ruby Programming /Big Data Technologies /Web Technologies
The school takes pride in offering exceptional laboratory facilities that foster innovation, hands-on learning, and real-world applications. Each lab is outfitted with a comprehensive range of advanced systems, specialized software, and industry-standard tools tailored to meet the diverse needs of students and researchers alike. Whether mastering programming fundamentals or pushing the boundaries in areas like machine learning, IoT, or cyber security, the labs provide the perfect environment for academic growth and research excellence.
Programming Languages Lab
Programming Languages Lab stands out with its unique features. It boasts V-Propel, a custom-built interface developed by VIT, offering students a seamless programming experience in C, C++, Python, and Java. This modern, efficient setting with high performance systems and tools like GCC, Codeblocks and Dev C++ is the perfect place for students to sharpen their coding skills.
Data Science Lab
The Data Science Lab is equipped with cutting-edge tools such as Hadoop, Python, MySQL, RStudio, and MongoDB. Designed for both courses and research, this lab offers students extensive hands-on experience in addressing real-world data challenges. It prepares them to meet the demands of the data science industry with practical skills and expertise.
Software Development and Management Lab
Focused on software engineering, this lab provides students with tools like Rational Rose, Rational Software Architect, and StarUML. It equips students with the knowledge to develop high-quality software, preparing them to meet industry and societal demands.
Software Testing & Verification Lab
The Software Testing and Verification Lab is focused on providing practical, hands-on experience. Equipped to guide students through the entire process of testing and validating the software. This lab includes powerful tools such as Rational Requisite Pro, Rational Functional Tester, Load Runner and Qualnet Teaching. It’s designed to immerse students in real-world problem testing and verification practices, preparing them for industry challenges
Image Processing Lab
The Image Processing Lab is equipped with advanced workstations and a suite of industry-standard software such as WEKA and Java. It provides an ideal environment for research and development in image processing, ensuring that students gain hands-on experience with the tools and techniques used in the industry.
Web Development Lab
The Web Development Laboratory is a comprehensive environment for students interested in web development. Here, students can learn full-stack web development using modern tools such as AppServ (PHP, MySQL, Apache), Node.js, NPM, MongoDB, Apache NetBeans IDE, and Eclipse IDE. It is the perfect place for designing, building, and deploying web applications.
Networking and Information Security Lab
A state-of-the-art facility where students can explore computer networking and security, the lab is equipped with tools such as Cisco Packet Tracer, Network Simulator (NS2), Wireshark, and Java. These resources enable students to gain practical skills in network protocols and security systems.
Mobile Application Development Lab
This lab is dedicated to real-time mobile app development. Students are trained to work with tools like Android Studio, Java, Visual Studio, Python, RStudio, and Cisco Packet Tracer to design, develop, and test innovative mobile applications.
Embedded Systems and IoT Lab
Bridging academia and industry, this lab offers cutting-edge technology, including Embedded Boards like Arduino, ESP8266, Raspberry Pi, and Google Vision Kit. With a focus on IoT applications and embedded systems, students gain hands-on experience through workshops and practical projects
Operating Systems Lab
This lab offers a comprehensive environment for exploring operating systems and their programming environments. It is equipped with industry-standard tools like Java, Oracle Client, RStudio, NS2/NAM, Node.js, MongoDB, GNU Simulator 8085, and NetBeans IDE, allowing students to delve into OS concepts with confidence.
Machine Learning Lab
The Machine Learning Lab is designed for teaching and research in artificial intelligence and machine learning. Using tools like Python, MySQL, and RStudio, students can explore the latest AI and machine learning algorithms and develop models for real-world applications.
Computer Vision Lab
The Computer Vision Lab is a cutting-edge facility designed to provide students with hands-on experience in the field of computer vision and image analysis. Equipped with high-performance systems and industry-standard software such as OpenCV, MATLAB, Python, and TensorFlow, the lab enables students to explore advanced techniques in object detection, image segmentation, facial recognition, and 3D vision.
- Software Developers: Design, build, test, and maintain software applications, focusing on functionality, usability, and performance.
- Software Architects: Design the overall structure and blueprint of software systems, ensuring scalability, maintainability, and performance.
- Design Engineers: Create detailed specifications and designs for software components, ensuring they meet functional and non-functional requirements.
- Testing and QA Professionals: Develop and execute test cases to identify and resolve defects in software applications, ensuring quality and reliability.
- Project Managers: Plan, organize, and oversee software development projects, ensuring they are delivered on time, within budget, and meeting quality standards.
- Consultants: Provide expert advice and guidance to organizations on software development, IT strategy, and technology implementation.
- Solutions Developers: Create innovative software solutions tailored to specific business needs, addressing challenges and improving efficiency.
- Entrepreneurs: Launch and manage their own technology startups, developing and commercializing new software products or services
- Configuration Managers: Manage and control changes to software systems, ensuring consistency and integrity throughout the development lifecycle.
- System Analysts: Analyze business requirements and translate them into technical specifications, ensuring that software systems meet the needs of users and stakeholders.
- Researchers: Conduct original research in various areas of computer science, contributing to advancements in technology and solving complex problems.
- M.C.A. (Master of Computer Applications)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
The postgraduate programme aims to impart in-depth knowledge on both fundamental and specialized aspects of computer science and applications by exposing students to a range of theoretical and practical courses, along with industry-relevant software development tools. With a unique blend of a flexible credit system, world-class infrastructure, and a dedicated faculty team, the programme prepares students to excel in their careers as software professionals in leading IT organizations and as entrepreneurs across various software verticals in both national and international arenas.
Problem solving with Data structures and Algorithms, Data Communication and Networking, Object Oriented Programming using JAVA, Object Oriented Software Engineering, Distributed Operating Systems, Database Technologies, Data Mining and Business Intelligence.
Mobile Application Design and Development / Programming in C# / Internet and Web Programming / Soft Computing / Online Transaction using Mainframe Computing / Storage Systems and Management / Network and Information Security / Big Data Analytics / Cloud Computing / Internet of Things / Advanced Computer Architecture / Semantic Web / Advanced Software Testing / Software Process and Metrics / Accounting and Financial Management / Machine Learning / Python Programming / Digital Forensics / Game Programming
The school takes pride in offering exceptional laboratory facilities that foster innovation, hands-on learning, and real-world applications. Each lab is outfitted with a comprehensive range of advanced systems, specialized software, and industry-standard tools tailored to meet the diverse needs of students and researchers alike. Whether mastering programming fundamentals or pushing the boundaries in areas like machine learning, IoT, or cyber security, the labs provide the perfect environment for academic growth and research excellence.
Programming Languages Lab
Programming Languages Lab stands out with its unique features. It boasts V-Propel, a custom-built interface developed by VIT, offering students a seamless programming experience in C, C++, Python, and Java. This modern, efficient setting with high performance systems and tools like GCC, Codeblocks and Dev C++ is the perfect place for students to sharpen their coding skills.
Data Science Lab
The Data Science Lab is equipped with cutting-edge tools such as Hadoop, Python, MySQL, RStudio, and MongoDB. Designed for both courses and research, this lab offers students extensive hands-on experience in addressing real-world data challenges. It prepares them to meet the demands of the data science industry with practical skills and expertise.
Software Development and Management Lab
Focused on software engineering, this lab provides students with tools like Rational Rose, Rational Software Architect, and StarUML. It equips students with the knowledge to develop high-quality software, preparing them to meet industry and societal demands.
Software Testing & Verification Lab
The Software Testing and Verification Lab is focused on providing practical, hands-on experience. Equipped to guide students through the entire process of testing and validating the software. This lab includes powerful tools such as Rational Requisite Pro, Rational Functional Tester, Load Runner and Qualnet Teaching. It’s designed to immerse students in real-world problem testing and verification practices, preparing them for industry challenges
Image Processing Lab
The Image Processing Lab is equipped with advanced workstations and a suite of industry-standard software such as WEKA and Java. It provides an ideal environment for research and development in image processing, ensuring that students gain hands-on experience with the tools and techniques used in the industry.
Web Development Lab
The Web Development Laboratory is a comprehensive environment for students interested in web development. Here, students can learn full-stack web development using modern tools such as AppServ (PHP, MySQL, Apache), Node.js, NPM, MongoDB, Apache NetBeans IDE, and Eclipse IDE. It is the perfect place for designing, building, and deploying web applications.
Networking and Information Security Lab
A state-of-the-art facility where students can explore computer networking and security, the lab is equipped with tools such as Cisco Packet Tracer, Network Simulator (NS2), Wireshark, and Java. These resources enable students to gain practical skills in network protocols and security systems.
Mobile Application Development Lab
This lab is dedicated to real-time mobile app development. Students are trained to work with tools like Android Studio, Java, Visual Studio, Python, RStudio, and Cisco Packet Tracer to design, develop, and test innovative mobile applications.
Embedded Systems and IoT Lab
Bridging academia and industry, this lab offers cutting-edge technology, including Embedded Boards like Arduino, ESP8266, Raspberry Pi, and Google Vision Kit. With a focus on IoT applications and embedded systems, students gain hands-on experience through workshops and practical projects
Operating Systems Lab
This lab offers a comprehensive environment for exploring operating systems and their programming environments. It is equipped with industry-standard tools like Java, Oracle Client, RStudio, NS2/NAM, Node.js, MongoDB, GNU Simulator 8085, and NetBeans IDE, allowing students to delve into OS concepts with confidence.
Machine Learning Lab
The Machine Learning Lab is designed for teaching and research in artificial intelligence and machine learning. Using tools like Python, MySQL, and RStudio, students can explore the latest AI and machine learning algorithms and develop models for real-world applications.
Computer Vision Lab
The Computer Vision Lab is a cutting-edge facility designed to provide students with hands-on experience in the field of computer vision and image analysis. Equipped with high-performance systems and industry-standard software such as OpenCV, MATLAB, Python, and TensorFlow, the lab enables students to explore advanced techniques in object detection, image segmentation, facial recognition, and 3D vision.
- Application Programmers: Develop, test, and maintain software applications across various platforms, ensuring functionality and performance.
- Software Engineers: Design, implement, and optimize software solutions, contributing to all phases of the software development lifecycle.
- Database Administrators: Manage, configure, and maintain databases, ensuring data integrity, security, and optimal performance.
- Systems Analysts: Analyze and design IT solutions, gather and interpret business requirements, and bridge the gap between business needs and technical solutions
- Software Consultants: Provide expert advice on software solutions, implement systems, and tailor solutions to meet specific client requirements.
