Top Computer Science Engineering Courses in India: B.Tech, M.Tech, Diploma & More

BTech in Computer Science Engineering / BE CSE

Students must have passed the Class 12 exam from a recognized board with Physics, Chemistry, and Mathematics subjects and secured at least 50 to 60 percent in the above subjects combined.

MTech in CSE

Students must hold a BTech degree in Computer Science Engineering or a relevant specialization with at least 50 to 55 percent marks.

Diploma in CSE

Students must have passed Class 10 exam from recognized board with minimum 55 percent marks and must clear the Diploma entrance exam.

PhD in CSE

Students must have completed MTech in Computer Science Engineering and clear Research Eligibility Test in order to pursue a PhD course.

Calculus 

Chemistry-1

Principles of Programming Languages

Discrete Structures

Linear Algebra and Ordinary Differential Equations 

Engineering Physics

Digital Systems Design

Computer Organization

Numerical Analysis 

Data Structures and Algorithms

Circuit Theory and Networks

Digital Electronics and Logic Design

Design and Analysis of Algorithms

Logic Design

Operating Systems

Computer Architecture

Database Management Systems

Computer Networks

Introduction to AI and Machine Learning

Embedded Systems Architectures

Microprocessor and Microcontrollers

Control System 

Software Engineering

Cloud Computing

Distributed Database 

Parallel Programming

Web Technology

Computer Graphics

Robotic Control

Mobile Computing

Viva-Voice

Final Research Project

Data Structure & Algorithms Laboratory

Data Structure & Algorithms

Systems Programming & Operating Systems

Networks & System Programming Laboratory

Advanced Database Management System

Theoretical Foundations of Computer Science

Distributed Computer Systems

VLSI Design

Elective V

Elective VI

Programming Laboratory II (for Elective V chosen)

Project Work (Phase-I)

Project Work (Phase-II) & Seminar

Viva-voce

Computer Science

Network Programming

The subject provides knowledge about network programming concepts in the UNIX environment.

Computer Science

Machine Learning

The subject will make students learn about the concept of computer algorithms that can automatically work and adapt to changes through the use of data.

Computer Science

Data Mining

The subject provides an insight into various concepts, including techniques and algorithms in data mining and warehousing and their applications.

Computer Science

          Bio-Informatics

This subject teaches students about algorithms, data structures, and areas of application in bioinformatics.

Computer Fundamentals and Programming in C

Reema Thareja

Computer System Architecture

Mano M.M

Data Structures, Algorithms, and Applications in C++

Sahni, S.

Object-Oriented Analysis and Design

Siddharth Santosh

Parallel Computing: Accelerating Computational Science and Engineering (CSE)

M. Bader and A. Bode

Parallel Programming and Applications: 45 CSE (Transputer & Occam Engineering)

Peter A. Fritzson and L. Finmo

Computer Graphics

S.Sharanya

Operating System Concepts

Silberschatz, A. and Galvin, P.B.

Programming Languages: Concepts and Constructs

Sethi, R.