IT
Department Code: 413824610

B.Tech inInformationTechnology

The program empowers students with industry-relevant skills in processing, communication and cutting-edge technologies like IoT, Cloud and Data Analytics to build innovative solutions for society.

Duration 4 Years
Intake 180
Level UG

About the Program

Information Technology is the fastest-growing and most pervasive industry today and technologies for interaction, processing and communication are seeing almost unheard-before level of innovation. The Information Technology Department started its journey in 2008 with a student intake of 60. In 2022, our undergraduate programmes are flourishing with a 90 rise in enrollment. The department now offers two UG programmes: Information Technology and CSE (Data Science) course.

The Department of Information Technology & CSE (Data Science) is dedicated to excellence in research, teaching and the provision of the appropriate echo system for fostering students’ developing professional abilities. Modern laboratories and improved learning facilities are available in the department enabling students to participate in ongoing research and learning. The students receive training in industry-relevant skills that enable them to land jobs at prestigious organisations and continue to flourish throughout their professional careers.

The Department seeks to impart moral responsibility as well as technical skills that are applicable to industry to its students. It aims to produce future knowledge society leaders who can raise the standard of living in the nation. The Department gives students the ability to develop their soft skills and managerial abilities through a variety of activities, enabling them to become well-rounded professionals and well-groomed individuals.

Our department has regularly produced strong academic performance. When it comes to placement, the department has excelled, with students finding jobs in reputable multinational corporations like TCS, Persistent, Accenture, Cognizant, HCL, Hexaware, Shaligram Infotech, Focus Edumatics and many others.

The Department of Information Technology and CSE (Data Science) prepares students for the challenges presented by constantly developing technical breakthroughs by promoting a sense of accomplishment in them. The department strives to mould its students into not only tech-savvy people but also moral human beings who will serve as role models for younger generations. We promise to work even harder as a team to improve the Department’s success and reputation.

Vision

"To Produce Competent Professionals equipped with technical knowledge and commitment for satisfying the needs of society."

Mission

  • 01.To impart knowledge with an inclination towards Research with well-equipped Lab.
  • 02.To develop an ability to work ethically and Responsive towards the need of society.
Infrastructure

Key Laboratories

Total Facilities09
01
Database Lab
02
Project Lab
03
Programming Lab
04
Computer Center
05
Graphics Lab
06
Data Science Lab
07
Machine Learning & AI Lab
08
Big Data & Cloud Computing Lab
09
Full Stack Development Lab
Official Program Data
Admissions

Seat Status

120 Total Enrolled
Financials

Fee Structure

Tuition Fee₹ 1,00,435
Development Fee₹ 15,065
Total / Year₹ 1,15,500

* Govt approved structure

Success Rate

Career Outcomes

Highest Package
10.2 LPATCS / Cognizant
Average4.5 LPA
Internships85+
Academic Structure

Curriculum Roadmap

Sem I

Foundation in Basic Sciences and Engineering Fundamentals

Advanced Physics
Basics of C Programming
Numerical Method & Advance Calculus
Basic Electrical and Electronics Engineering
Sem II

Strengthening Analytical and Core IT Fundamentals

Advanced Chemistry
Engineering Graphics & Design
Linear Algebra & Complex Analysis
Basic Civil and Mechanical Engineering
Sem III

Introduction to Core IT and Field-Based Learning

Data Structure Using Python
Computer Organization & Architecture
Operating Systems
Discrete Mathematics & Statistical Analysis
Sem IV

Core Competency Development with Data and Management Integration

Design & Analysis of Algorithms
Java Programming
Multi-Disciplinary Minor II
Open Elective II
Sem V

Design-Oriented Learning with Database and Networking Focus

Database and Management System
Theory of Computation
Professional Elective Course I
Professional Elective Course II
Sem VI

Advanced Analysis with Modern Tools and Emerging Technologies

Artificial Intelligence & Machine Learning
Embedded System & IoT
Cyber Security & Cryptography
Professional Elective Course III
Sem VII

Application of Advanced Concepts with Research and Industry Exposure

Big Data Analytics
Human Computer Interaction
Cloud Computing & Storage Management
Professional Elective Course VI
Sem VIII

Project Execution and Professional Readiness

Project
Internship / OJT
MOOCs Courses (NPTEL/SWAYAM)