Overview
About the Programme
The Department of Information Science & Engineering focuses on the effective design, management, and utilization of information systems. The department equips students with strong foundations in data management, networking, and enterprise technologies, complemented by hands-on learning and modern tools to solve domain-specific and organizational challenges.
Vision
To develop competent information engineers capable of designing efficient, user-centric, and data-driven information systems.
Mission
- To impart strong fundamentals in information science, databases, and networking.
- To enable the use of modern tools for information retrieval and enterprise applications.
- To promote user-centric design, problem-solving, and professional ethics.
Programme Core Courses
- Engineering Mathematics I & II
- Basic Electrical Engineering
- Programming in C
- Data Structures
- Digital Logic Design
- Engineering Physics and Chemistry
- Computer Networks
- Object-Oriented Programming
- Database Management Systems (DBMS)
- Operating Systems
- Discrete Mathematics
- Software Engineering
- Microprocessors and Microcontrollers
- Artificial Intelligence and Machine Learning
- Data Structures and Algorithms
- Computer Architecture
- Computer Graphics
- Cryptography and Network Security
- Web Technologies
- Design and Analysis of Algorithms
- Cloud Computing
- Internet of Things (IoT)
- Software Project Management
- Distributed Systems
- Big Data Analytics
Programme Elective Courses
- Artificial Intelligence & Machine Learning: Advanced AI algorithms, deep learning, and real-world applications.
- Data Science: Data mining, predictive modeling, and big data analytics.
- Cybersecurity: Cryptography, network security, and ethical hacking.
- Cloud Computing & DevOps: Cloud platforms, CI/CD pipelines, and deployment practices.
- IoT and Embedded Systems: Sensors, IoT protocols, and real-time systems.
- Natural Language Processing (NLP): Text analytics and language understanding techniques.
- Others: Blockchain Technology, Cloud Security, Image Processing, Digital Signal Processing, Human-Computer Interaction (HCI).
Infrastructure
- Computer Programming Lab: Intel i5 processors, 8 GB RAM, 500 GB HDD, 19-inch monitors with Keil, Visual Studio, MATLAB, and Quartus-II.
- Software Systems Lab: Intel i5 systems with C, C++, Java, Oracle 11g, SQL Server, MySQL, Rational Rose, and Cisco Packet Tracer.
- Intel Multicore Lab: Intel Core i5 systems, 8 GB RAM, 1 TB HDD with Microsoft Visual Studio.
- Artificial Intelligence Lab: Intel Core i9 systems, 32 GB RAM, Quadro RTX 5000 with Python, OpenCV, MongoDB, Cassandra, and Neo4j.
- Cloud Computing Lab: Tools include Eclipse, NetBeans, Scilab, Anaconda, PHPmyAdmin, and cloud platforms.
- Database Systems Lab: MySQL, Oracle 11g, and SQL Server for hands-on database training.
Scope of Employment
The B.Tech. programme in Information Science and Engineering is designed to meet the evolving demands of the digital era. With strong foundations in computing and specialized exposure to data science, cybersecurity, cloud computing, artificial intelligence, and machine learning, graduates are well-prepared for data-centric, innovation-driven careers across industries.
Faculty
