B Tech Computer Science Syllabus: Government & Private Colleges

Updated on Jun 18, 2025

Kirti Mehendiratta

B Tech Computer Science syllabus in government institutes such as IIT Varanasi is to deliver a mix of core engineering courses and fundamental computing information. During the initial semesters, students are given information on areas such as Engineering, Mathematics, and Programming. B Tech CS deals with core computer science domains like Algorithms, Operating Systems, Computer Architecture, and Database Systems. Students also study higher-level topics through electives like AI, Parallel Computing, Quantum Computing, and Cryptography, along with project work, seminars, and industry training.

Private colleges such as Amity University structure the Bachelor of Technology Computer Science course with an emphasis on application skills and industry electives. Bachelor of Technology Computer Science includes Applied Mathematics, Programming, DBMS, and Object-Oriented Programming in eight semesters with a variety of courses in Behavioral Science, Communication, and Foreign Languages. Specialization electives like Machine Learning, Cloud Computing, Cybersecurity, and IoT are also covered.

Table of Contents

BTech Computer Science Syllabus of Government Colleges
BTech Computer Science Syllabus of Private Colleges
BTech Computer Science FAQs

BTech Computer Science Syllabus of Government Colleges

The syllabus of government universities for B Tech CS teaches Engineering Mathematics, Engineering Drawing, Engineering Mechanics and Software Engineering. Mentioned below is the syllabus at IIT Varanasi:

Semester 1	Semester 2
Computer Programming	Engineering Mathematics- II
Elementary Physical Education	Fundamentals of Computer Engineering
Creative Practices	Data Structures
Basic English	Information Technology Workshop (ITW)
Physics I: Classical, Quantum & Relativistic Mechanics	Engineering Drawing
Engineering Mathematics- I	-

Semester 3	Semester 4
Probability and Statistics	Mathematical Methods
Engineering Mechanics	Algorithms
Computer System Organization	Operating Systems
Digital Logic Design and Microprocessors	Computer Networks
Maths	Exploratory Project

Semester 5	Semester 6
Materials Science and Engineering	Computer Architecture
Computer Graphics	Theory of Computation
Database Management System	Software Engineering
Graph Theory and Applications	Software Engineering Project Management
Ubiquitous Computing	Introduction to Computer Vision
Intelligent Computing	Parallel Computing
Data Mining	Operations Research
Cyber Physical Systems	Quantum Computing
Introduction to Cryptography	Optimization Techniques
Introduction to High Performance Computing	Wireless Body Area Network
Biometrics	Web Science
-	Information Retrieval
-	Robotics

Semester 7	Semester 8
Project / Industrial Project / Industrial Training	Compiler Design
Game Theory	Language Management Courses
Fundamentals of Distributed Computing	Artificial Intelligence
Neural Networks	Seminar
Fault Tolerant Computing
Bio-Informatics Algorithms
Software Architecture
Parallel Algorithms
Usable Computer Networks and its Security
Cloud Computing

BTech Computer Science Syllabus of Private Colleges

The syllabus of private universities for B Tech Computer Science teaches Applied Mathematics, Database Management Systems and Fundamentals of Machine Learning. Mentioned below is the syllabus at Amity University:

Semester 1	Semester 2
Engineering Mechanics [Engineering Sciences Courses]	Basic Electrical Engineering [Engineering Sciences Courses]
Introduction to Computers and Programming in C [Engineering Sciences Courses]	Engineering Graphics Lab [Engineering Sciences Courses]
Workshop Practices [Engineering Sciences Courses]	Introduction to Environmental Studies [Engineering Sciences Courses]
Applied Mathematics- I [Basic Sciences Courses]	Applied Mathematics - II [Basic Sciences Courses]
Engineering Physics [Basic Sciences Courses]	Engineering Chemistry [Basic Sciences Courses]
Technical Communication – I [Communication Skills]	Technical Communication – II [Communication Skills]
Foreign Business Language	Foreign Business Language

Semester 3	Semester 4
Term Paper [Supervised Independent Learning/ Non-Teaching Credit Courses]	Basic Simulation Lab [Engineering Sciences Courses]
Basic Electronics Engineering [Engineering Sciences Courses]	Database Management Systems [Core Courses]
Basic Simulation Lab [Engineering Sciences Courses]	Java Programming [Core Courses]
Object Oriented Programming Using C++ [Engineering Sciences Courses]	Operating System [Core Courses]
Data Structures Using C [Core Courses]	Theory of Computation [Core Courses]
Digital Electronics and Computer Organization [Core Courses]	Applied Mathematics-IV [Basic Sciences Courses]
Applied Mathematics- III [Basic Sciences Courses]	Understanding Self to enhance Personal Competence [Behavioural Science]
Foreign Business Language	Foreign Business Language

Semester 5	Semester 6
In-House Practical Training [Supervised Independent Learning/ Non-Teaching Credit Courses]	Business Process Management and Mining [Specialisation Elective Courses]
Microprocessors and Interfacing [Specialisation Elective Courses]	Cloud Computing Practitioner [Specialisation Elective Courses]
Open Source Application Development Technologies [Specialisation Elective Courses]	Cyber Security [Specialisation Elective Courses]
Principal of Programming Language [Specialisation Elective Courses]	Fundamentals of Machine Learning [Specialisation Elective Courses]
Programming [Specialisation Elective Courses]	Graph Theory and Applications [Specialisation Elective Courses]
Real Time Operating System [Specialisation Elective Courses]	Introduction to Statistical Tools in Research [Specialisation Elective Courses]
The Joy of Computing using Python [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]	Mobile Application Development [Specialisation Elective Courses]
Aptitude and Reasoning Ability [Employability & Skill Enhancement Courses]	Routing and Switching in Networks [Specialisation Elective Courses]
Analysis and Design of Algorithms [Core Courses]	Software Architecture and Design [Specialisation Elective Courses]
Discrete Mathematical Structures [Core Courses]	Programming & Employability Skills for Computer Engineers [Employability & Skill Enhancement Courses]
Exploring the Networks [Core Courses]	Advanced Java Programming [Core Courses]
Fundamentals of Mobile Computing [Core Courses]	Analysis and Design of Algorithms [Core Courses]
Working in Teams for Professional Excellence [Behavioural Science]	Data Communication and Computer Networks [Core Courses]
Foreign Business Language	Distributed System [Core Courses]
Outdoor Activity Based Courses	Fundamentals of Mobile Computing [Core Courses]
-	Employment & Professional Communication [Communication Skills]
-	Foreign Business Language
-	Outdoor Activity Based Courses

Semester 7	Semester 8
Industry Internship [Supervised Independent Learning/ Non-Teaching Credit Courses]	Major Project [Supervised Independent Learning/ Non-Teaching Credit Courses]
Advance Computer Networks [Specialisation Elective Courses]	Advanced Network Solution [Specialisation Elective Courses]
Advanced Neural Networks [Specialisation Elective Courses]	Cyber Security [Specialisation Elective Courses]
Applied Cryptography [Specialisation Elective Courses]	Data Management and Visualization [Specialisation Elective Courses]
Applied Probability and Statistics [Specialisation Elective Courses]	Internet of Things: Sensing and Actuator Devices [Specialisation Elective Courses]
Artificial Intelligence [Specialisation Elective Courses]	Introduction to Natural Language Processing [Specialisation Elective Courses]
Cloud Security [Specialisation Elective Courses]	Introduction to Statistical Tools in Research [Specialisation Elective Courses]
Data Center Virtualization [Specialisation Elective Courses]	Parallel Algorithms [Specialisation Elective Courses]
Data Mining and Business Intelligence [Specialisation Elective Courses]	Pattern Recognition [Specialisation Elective Courses]
Digital Image Processing and Computer Vision [Specialisation Elective Courses]	Simulation and Modeling [Specialisation Elective Courses]
Dynamic Routing and Troubleshooting [Specialisation Elective Courses]	An Introduction to Internet of Things [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
Fundamental of Big Data Analytics [Specialisation Elective Courses]	Social Networks [MOOC (Amity On - line / NPTEL / SWAYAM / Future Learn)]
Information Assurance and Security [Specialisation Elective Courses]	Foreign Business Language
Linux for Devices [Specialisation Elective Courses]	Outdoor Activity Based Courses
Optimization Methods [Specialisation Elective Courses]
Parallel Computing [Specialisation Elective Courses]
Service Oriented Architecture [Specialisation Elective Courses]
Social Networks [Specialisation Elective Courses]
Software Project Management [Specialisation Elective Courses]
Software Testing and Quality Assurance [Specialisation Elective Courses]
Minor Project [Mandatory Courses]
Object Oriented System Design [Core Courses]
Professional Ethics and Social Responsibility [Professional Ethics]
Foreign Business Language
Outdoor Activity Based Courses

B Tech Computer Science FAQs

Which topics are included in the curriculum of B Tech CS?

Main topics covered in B Tech CS course are Programming languages, Data Structures and Algorithms, Operating Systems, Database Management Systems, Computer Networks, Computer Organization, Theory of Computation, Compiler Design, Artificial Intelligence, and Cryptography and Network Security

How do I find elective courses that match my interests in the B Tech Computer Science curriculum?

To match your interest to electives, determine your area of interest (e.g., AI, cybersecurity, data science, IoT), then choose electives like Cloud Computing, Data Analytics, Robotics, Mobile Computing, or Big Data which align with your career objective and individual interest. Check your university elective list and take advice from the faculty for specific suggestions.

What are the added subjects in the 2025 B Tech CS syllabus?

New topics introduced in the 2025 B Tech CS syllabus are Advanced Data Analytics, Cloud Computing, Internet of Things (IoT), Machine Learning, and Big Data Technologies. These new topics follow industry requirements and prepare the students for future technology career opportunities.

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