Computer Science & Information Technology

B.Tech In Computer Science and Information Technology

Academic Overview

The B.Tech Computer Science & Information Technology (CS&IT) program at KL University is a prestigious 4-year undergraduate program designed to develop experts in modern computing technologies.

Specializations Offered

Data Science & Big Data Analytics - Master data-driven decision making with Hadoop, Spark, and ML algorithms
Artificial Intelligence & Intelligent Process Automation - Develop AI solutions and RPA implementations
Cloud & Edge Computing - Build scalable cloud applications with AWS, Azure, and Google Cloud
Software Modeling & DevOps - Learn enterprise architecture and continuous integration/deployment practices
Cyber Security & Blockchain - Secure systems and develop blockchain-based applications
Game Development & UX Design - Create interactive experiences with Unity and Unreal Engine
Cross-Platform Development - Build applications for web, mobile, and desktop platforms
Management Information Systems - Combine IT expertise with business management principles

Program Laboratories

Web Development Laboratory

Equipped with workstations running latest web technologies: HTML5, CSS3, JavaScript, React, Angular, and Node.js. Students develop full-stack web applications with modern frameworks and deployment tools.

Software Modeling & Design Lab

Advanced laboratory for software engineering practices including UML design, design patterns, and software architecture. Tools include Enterprise Architect, Visual Studio, and IntelliJ IDEA.

Cyber Security & Network Lab

State-of-the-art facility for network security, penetration testing, and cryptography. Equipped with Wireshark, Metasploit, Kali Linux, and enterprise firewall systems.

Programming Laboratory

Comprehensive lab for fundamental and advanced programming in Python, Java, C++, and Go. Includes version control systems (Git), automated testing frameworks, and performance profiling tools.

AI & Data Science Laboratory

Advanced computational facilities with GPU-enabled machines for machine learning, deep learning, and data analytics. Software includes TensorFlow, PyTorch, Keras, and Jupyter notebooks.