CSE
Department Code: 413824210

B.Tech inComputerScience &Engineering

The program provides a strong foundation in programming, algorithms, data management and emerging technologies, enabling students to solve real-world problems and support innovation.

Duration 4 Years
Intake 180
Level UG

About the Program

The Computer Science and Engineering (CSE) program is designed to equip students with a strong foundation in computing principles and in-depth knowledge of modern software and hardware systems. The curriculum focuses on core areas of computer science, including programming, data structures and algorithms, database management systems, operating systems, computer networks, software engineering, artificial intelligence, machine learning, data science and cybersecurity.

The program maintains a balanced approach between theory and practice through well-structured laboratory courses, coding assignments, mini projects and capstone projects, enabling students to apply theoretical concepts to real-world challenges.

With strong industry relevance, the program prepares graduates for opportunities across IT services, product-based companies, research organizations and start-ups. Career pathways include roles such as software developer, system engineer, data scientist, AI/ML engineer, cloud engineer, cybersecurity analyst and research professional. The curriculum also lays a solid foundation for higher education, research and competitive examinations.

A distinctive feature of the department is its focus on outcome-based education, continuous skill development and industry engagement. The program is supported by experienced faculty, modern computing laboratories, internships, technical workshops and industry-oriented projects, ensuring alignment with current industry requirements.

The department emphasizes ethical values, teamwork, innovation and lifelong learning, preparing students to become competent, responsible and future-ready computer science engineers.

Vision

"To be recognized for excellent engineering, developing global leaders both in educational and research in the domain of computer science and wireless engineering."

Mission

  • 01.To create self-learning environment by facilitating leadership qualities, team spirit and ethical responsibilities.
  • 02.To improve department-industry collaboration, interaction with professional society through technical knowledge and internship program.
  • 03.To promote research and development with current techniques through well qualified resources in the area of computer science and wireless engineering.
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

180 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 LPAJaro Education
Average4.5 LPA
Internships65+
Academic Structure

Curriculum Roadmap

Sem I

Common Engineering Foundation

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

Common Engineering Foundation

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

Core CS & Data Science

Object Oriented Programming
Data Structures using Python
Operating Systems
Statistical Analysis & Discrete Mathematics
Sem IV

Advanced Algorithms & AI Foundations

Automata Theory & Compiler Design
Design and Analysis of Algorithms
Foundations of Large Language Models
Software Project Management
Sem V

AI & Database Systems

Artificial Intelligence & Applied Machine Learning
Database Management System
Professional Elective Course -I
Professional Elective Course -II
Sem VI

Security & Neural Networks

Data Warehousing and Business Intelligence
Neural Networks and Deep Learning
Cryptography and Cyber Security
Professional Elective Courses (III, IV, V)
Sem VII

Specialization & Systems

Embedded System & IoT System
Cloud Computing & Storage Management
Exploratory Data Analysis
Professional Elective Course (VI & VII)
Sem VIII

Industry Practice

Project Phase-II
Internship/OJT
MOOCs Courses (NPTEL/SWAYAM)