(SCORE) - UG
SCORE offers B.Tech Information Technology, B.Tech – Computer Science and Engineering (Artificial Intelligence and Data Engineering), B.Tech – Computer Science and Engineering (Cyber Security), BCA, and B.Sc. programmes. Each programme is designed to acquire in-depth knowledge in the specialization. It enables students to get more exposure in terms of industry and application. The curriculum is regularly updated to reflect the latest technological advancements and industry needs.
Programmes Offered in Vellore Campus:
1. B.Tech. Information Technology
2. B.Tech – Computer Science and Engineering (Artificial Intelligence and Data Engineering)
3. B.Tech – Computer Science and Engineering (Cyber Security)
4. B.C.A. (Bachelor of Computer Applications)
5. B.Sc. Computer Science
- B.Tech. Information Technology
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
The program imparts comprehensive knowledge in Information Technology and Engineering through both theoretical and practical sessions. It covers diverse areas such as Artificial Intelligence, Soft Computing, Blockchain Technology, Cyber Systems, Data Science, and Expert Systems. Students acquire essential hands-on experience under the guidance of their chosen faculty members, preparing them for advanced research and making them industry-ready in various IT fields.
Java Programming / Digital Logic and Microprocessor / Web Technologies / Database Management Systems / Data Structures and Algorithms / Software Engineering - Principles and Practices / Theory of Computation / Computer Architecture and Organization / Operating Systems / Data Communication and Computer Networks / Network and Information Security
Object Oriented Analysis and Design / Open Source programming / Digital Image Processing/ Computer Graphics / Human Computer Interaction / Soft Computing / Mobile Application Development / Transformation Techniques / Principles and Practices of Communication / System Software Testing / Advanced Java Programming / Data Mining Techniques / Storage Technologies / Artificial Intelligence / Machine Learning / .Net Programming / Big Data Analytics / Software Project Management / Information System Audit / Embedded Systems / Parallel Processing / Distributed Systems / Information Coding Theory / Cloud Computing and Virtualization / Information Retrieval / Network Management Systems / Internet of Things / Wireless Mobile Networking / Network Programming, Protocols and Standards
Infrastructure for Cutting-Edge Learning and Research
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 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.
Graduates with a B.Tech in Information Technology (IT) have a broad scope of employment opportunities across various industries. These roles are relevant across various sectors, including technology, finance, healthcare, education, and government. Here are some key areas they might explore:
- Software Developer/Engineer: Designing, developing, and maintaining software applications and systems.
- Web Developer: Creating and managing websites and web applications, including front-end and back-end development.
- Network Administrator: Managing and configuring network systems to ensure reliable and secure connectivity.
- System Analyst: Analyzing and improving IT systems and processes to meet organizational needs.
- Database Administrator: Overseeing database management, ensuring data integrity, security, and efficient retrieval.
- IT Support Specialist: Providing technical support for hardware and software issues and troubleshooting.
- Cybersecurity Analyst: Protecting IT systems and networks from security threats and breaches.
- Data Analyst/Scientist: Analyzing data to extract meaningful insights and support decision-making processes.
- Business Analyst: Evaluating business processes and IT systems to recommend improvements and solutions.
- Project Manager: Leading IT projects, managing teams, and ensuring project delivery within scope, time, and budget constraints.
- Systems Engineer: Designing and implementing complex IT systems and infrastructure.
- Technical Consultant: Advising organizations on IT strategy, implementation, and optimization.
- Cloud Solutions Architect: Designing and managing cloud-based infrastructure and services.
- IT Entrepreneur: Starting and running technology-based businesses or consulting firms
- B.Tech - Computer Science and Engineering (Artificial Intelligence and Data Engineering)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
The programme imparts in-depth knowledge of Computer Science and Engineering (AI & Data Engineering) theory and practice sessions by exposing them to various fields like Foundations of Data Engineering, Data Visualization and Analytics, Cloud Platforms and Services, Time Series Analysis and Forecasting Techniques theory, Machine Learning, Deep Learning techniques, Natural Language Processing, Generative AI and Large Language Models, Explainable AI, Computer Vision. In this programme, undergraduates will gain invaluable hands-on practical experience under the mentorship of the faculty of their choice, and undergraduates will be prepared for postgraduate research studies and industry-ready in versatile fields of the CSE (AI & DE) domain.
Data Structures and Algorithms, Web Programming, Design and Analysis of Algorithms, Computer Architecture and Organization, Software Engineering, Database Systems, Operating Systems, Theory of Computation, Embedded Systems, Artificial Intelligence, Computer Networks, Cryptography and Network Security, Data Engineering, Fundamentals
Compiler Design, Deep Learning, Computer Vision, Natural Language Processing, Explainable Artificial Intelligence, Cloud Platforms and Services, Generative Artificial Intelligence and Large Language Models, Time Series Analysis and Forecasting Techniques, Data Visualization and Analytics
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 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.
Graduates with a B.Tech in Computer Science and Engineering (AI and Data Engineering) have diverse career opportunities, including:
- AI & Machine Learning Engineer: Develop AI models and machine learning algorithms to solve real-world challenges.
- Data Scientist/Analyst: Analyze complex data to inform business decisions and strategies.
- Data Engineer: Build and maintain efficient data processing and storage systems.
- Software Developer: Create software solutions integrating AI and data engineering.
- Business Intelligence Analyst: Provide data-driven insights to support decision-making.
- Research Scientist: Innovate in AI and data science to advance technology.
- Product Manager: Lead AI-driven product development.
- Consultant: Advise organizations on AI and data optimization.
- Entrepreneur: Launch tech ventures focused on AI and data solutions.
- Cybersecurity Analyst: Enhance security using AI and data techniques.
- B.Tech - Computer Science and Engineering (Cyber Security)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
The B.Tech. in Computer Science and Engineering, with a specialization in Cybersecurity, is a four-year degree program that provides a thorough and organized grasp of the fundamentals of Computer Science and Engineering. It includes specialized courses in Cybersecurity. The curriculum comprises areas such as Fundamentals of Cybersecurity, Penetration Testing, Vulnerability Assessment, Cybercrime, Cyber Forensics, Malware Analysis, AI for Cybersecurity, Enterprise Security and many more. Graduates are equipped for careers in cybersecurity as the curriculum encourages innovation, fosters the development of cutting-edge projects, and is poised to make meaningful contributions to society.
Python / Structured and Object-Oriented Programming / Java / Data Structures and Algorithms / Web Programming / Design and Analysis of Algorithms / Computer Architecture and Organization / Software Engineering / Database Systems / Operating Systems / Theory of Computation / Embedded Systems / Artificial Intelligence / Computer Networks / Cryptography and Network Security / Fundamentals of Cyber Security
Penetration Testing and Vulnerability Assessment / Cybercrimes and Forensics / Malware Analysis and Mitigation Techniques / DevOps Security / System Security / Enterprise Security / AI for Cybersecurity / Cyber Threat Intelligence / Compiler Design
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.
There are numerous exciting career opportunities in Cybersecurity due to the rapidly increasing demand for experts in the field.
- Cybersecurity Engineers: Developing and maintaining security solutions to protect against cyber threats and breaches.
- Security Analysts: Designing, implementing, and managing security measures to safeguard computer systems and networks.
- Penetration Testers or Ethical Hackers: Evaluating systems for vulnerabilities and suggesting improvements.
- Security Consultants: Advising organizations to secure digital assets and adhere to regulations.
- Specialized Roles: Working in sectors such as finance, healthcare, telecommunications, and government to protect sensitive data and critical infrastructure.
- Entrepreneurial Opportunities: Starting cybersecurity consulting firms, developing security products, or launching startups to tackle evolving digital security challenges.
- B.C.A. (Bachelor of Computer Applications)
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
The Bachelor of Computer Applications (BCA) programme imparts in-depth knowledge of computer applications, information technology theory and programming practice by exposing them to various domains like digital computer fundamentals, computational thinking, Linux/Unix Programming, programming in C, data structures, Java Programming, database management systems and security. The curriculum of this program is specifically designed to provide individuals with the opportunities and resources needed to become versatile IT professionals in the industry.
Computational Thinking/ Digital Computer Fundamentals/ Principles Of Accounting/ Software Engineering/ Database Management Systems/ Computer Networks/ Web Development/ Programming In C/ Software Testing/ Object Oriented Programming/ Data Structures/ Programming In Java/ Open Source Programming/ Operating Systems/ Discrete Mathematics For Computer Science
M-Commerce/ Decision Support System/ Linux/Unix Programming/ Computer Architecture/ Fundamentals of Data Analytics/ Computer Graphics/ Multimedia Systems/ Data Communication and Networks/ Data Warehousing and Data Mining/ Cryptography/ User Experience Design/ Mobile Application Development/ Cloud Computing/ Software Project Management/ Scripting Languages/ Computer Hardware/ Internet Of Things/ Object Oriented Analysis And Design/ Network Administration/ Supply Chain Management
Infrastructure for Cutting-Edge Learning and Research
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.
Students who complete a Bachelor's in Computer Applications (B.C.A) have a wide range of employment opportunities available to them. Here are some key areas they might explore:
- Software Developer/Engineer: Designing, developing, and maintaining software applications and systems.
- Web Developer: Creating and managing websites and web applications.
- System Analyst: Analyzing and improving IT systems and processes to meet business needs.
- Database Administrator: Managing and organizing databases to ensure data integrity and security.
- IT Support Specialist: Providing technical support and troubleshooting for hardware and software issues.
- Network Administrator: Managing and configuring network systems to ensure efficient and secure connectivity.
- Data Analyst: Interpreting data and providing insights to support business decisions.
- B.Sc. Computer Science
- About the Programme
- Programme Core Courses
- Programme Elective Courses
- Infrastructure
- Scope of employment
- Curriculum
The B.Sc Computer Science programme imparts in-depth knowledge of computer science theory and practical programming through courses such as Computer Architecture, Computational Thinking, Operating Systems, Programming in C, Data Structures, Java Programming, Database Management Systems, Fundamentals of Data Analytics, and Software Engineering. The curriculum is designed to provide students with a comprehensive understanding of diverse subjects related to Computer Science while also addressing the evolving demands of the industry.
Computational Thinking/Digital Logic and Design/Programming Fundamentals/ Operating Systems/ E-Commerce/ Data Structures/ Object Oriented Programming/ Database Management Systems/ Java Programming/ Computer Networks/Software Engineering / Software Quality Assurance & Testing/ Web Development/ Discrete Mathematics for Computer Science.
Open Source Programming/ Mobile Application Development/2D Animation/ Video Production/ Principles of Computer Graphics/ Object Oriented Analysis and Design/ Data Warehousing/ System Software/ Cloud Computing/ Cryptography/ Multimedia Systems/ Computer Architecture/ Visual Programming/ Fundamentals of Data Analytics/ Data Mining/ Design of Algorithms/ System Administration/ Data Communication and Networking/ Artificial Intelligence.
Infrastructure for Cutting-Edge Learning and Research
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.
• Web Developers: Create user interfaces and functionalities for websites and web applications, ensuring a seamless user experience across different devices.
• Data Analysts: Collect, analyze, and interpret large datasets to extract valuable insights for business decisions.
• Database Administrators: Design, implement, and maintain databases, ensuring data integrity, security, and performance.
• System Administrators: Manage and configure computer systems, networks, and servers, ensuring smooth operation and user access.
• Technical Support Engineers: Diagnose and troubleshoot technical issues for users, providing technical assistance and resolving problems.
• Graduates can choose to pursue further education and research, such as M.Sc., MCA, or PhD degrees, or engage in research in fields like AI, data science, and cloud computing.
