B.Tech Computer Science and Technology Syllabus 2026: Semester-wise Breakdown

B.Tech in Computer Science and Technology Syllabus: Semester-wise Breakdown

ARTICLE

Nikki Kumari

2026-04-28T01:14:46.685+05:30

The B.Tech Computer Science and Technology course will include topics such as data structures, artificial intelligence, cybersecurity operations, and the latest advancements in quantum computing across various semesters.

B.Tech in Computer Science and Technology Syllabus: Semester-wise Breakdown

The B.Tech Computer Science and Technology course syllabus covers machine learning algorithms, cybersecurity frameworks based on zero-trust architecture, and quantum computing principles over eight semesters, in accordance with AICTE guidelines. Learners build foundational knowledge in programming paradigms before advancing to sophisticated technologies in generative AI pipelines and edge computing deployments.

Students further explore data structures optimisation, cloud-native microservices, blockchain consensus mechanisms, DevOps automation pipelines, distributed systems engineering, natural language processing models, and cybersecurity. The B.Tech in CSE program provides hands-on practice in full-stack development, intelligent automation systems, and trending technologies in computer science that are in high demand in digital transformation ecosystems.

B.Tech in Computer Science and Technology Syllabus: Semester-wise Breakdown

The programme offers comprehensive training in computer science, including algorithm design, software engineering principles, and systems architecture. The curriculum also covers recent advances in generative AI models, quantum algorithms, and blockchain smart contracts that prove essential to tech innovation and digital economy transformation.

B.Tech in Computer Science and Technology Syllabus: Semester 1

Foundational sciences feature prominently in Semester 1 of the B.Tech Computer Science and Technology course. The programme provides basic subjects that develop an essential understanding of computing principles. Learners grasp mathematical concepts, fundamental physics, and programming basics in accordance with industry requirements.

Subject	Topics Covered
Engineering Mathematics I	Differential calculus applications, integral calculus techniques, matrix operations, vector algebra principles, multiple integrals evaluation, and series analysis
Engineering Physics	Mechanical principles, wave propagation characteristics, optical phenomena, electrostatic fields, electromagnetic theory applications, and modern physics concepts
Computer Programming	C programming fundamentals, control structures implementation, functions development, arrays manipulation, pointers usage, and file handling operations
Electrical Engineering	Basic circuits analysis, DC circuits theorems, AC circuits fundamentals, electrical machines overview, power systems basics, and electronic devices introduction
Communication Skills	Technical writing techniques, presentation delivery methods, group discussion practice, English language proficiency, and professional communication standards
Environmental Science	Ecosystems dynamics, pollution control strategies, waste management practices, sustainable development principles, and renewable energy technologies

B.Tech in Computer Science and Technology Syllabus: Semester 2

B.Tech Computer Science and Technology Semester 2 advances core computing concepts systematically. The programme strengthens mathematical foundations through specialised subjects. Learners explore discrete mathematics principles and object-oriented programming essential for software development operations.

Subject	Topics Covered
Engineering Mathematics II	Differential equations solutions, Laplace transforms applications, Fourier series analysis, partial differential equations, complex variables analysis, and probability distributions
Data Structures	Arrays implementation, linked lists operations, stacks, queues applications, trees traversals, graphs algorithms, and hashing techniques
Object-Oriented Programming	Java programming fundamentals, class and object creation, inheritance mechanisms, polymorphism applications, exception handling, and GUI development
Digital Logic Design	Boolean algebra principles, logic gates implementation, combinational circuits design, sequential circuits analysis, memory organisation, and computer arithmetic
Chemistry for Engineers	Atomic structure principles, chemical bonding types, thermodynamics laws, organic chemistry reactions, materials science applications, and nanotechnology basics
Computer Workshop	Hardware assembly practices, networking basics setup, operating systems installation, troubleshooting techniques, and system maintenance procedures

B.Tech in Computer Science and Technology Syllabus: Semester 3

B.Tech Computer Science and Technology, Semester 3, effectively introduces the core domains of computer science. The programme focuses comprehensively on algorithm design and database fundamentals. Learners master problem-solving techniques and relational database concepts essential for industry careers.

Subject	Topics Covered
Design and Analysis of Algorithms	Algorithm complexity analysis, divide-and-conquer strategies, dynamic programming applications, greedy algorithms implementation, graph algorithms, and NP-completeness theory
Database Management Systems	ER model design, relational algebra operations, SQL query optimisation, normalisation techniques, transaction management, and database security principles
Operating Systems	Process management concepts, memory management techniques, file systems organisation, deadlock prevention strategies, scheduling algorithms, and system calls
Computer Organisation and Architecture	CPU organisation principles, instruction set architecture, pipelining techniques, memory hierarchy design, I/O organisation, and parallel processing concepts
Discrete Mathematics	Set theory fundamentals, logic propositions analysis, graph theory applications, combinatorics principles, recurrence relations, and lattice theory
Software Engineering	Requirements engineering process, system modelling techniques, design patterns implementation, testing strategies, project management methodologies, and agile practices

B.Tech in Computer Science and Technology Syllabus: Semester 4

B.Tech Computer Science and Technology Semester 4 develops advanced programming skills proficiently. The programme emphasises web technologies and computer network infrastructure. Learners gain expertise in full-stack development, which is critical for roles in the software engineering industry.

Subject	Topics Covered
Web Technologies	HTML5 CSS3 implementation, JavaScript programming, React framework development, Node.js backend, RESTful APIs design, and web security protocols
Computer Networks	OSI TCP/IP models, LAN, WAN technologies, routing algorithms implementation, network security protocols, wireless communication standards, and network management
Compiler Design	Lexical analysis techniques, syntax analysis parsing, semantic analysis principles, code generation strategies, optimisation techniques, and compiler construction tools
Theory of Computation	Finite automata design, regular expressions analysis, context-free grammars, pushdown automata, Turing machines theory, and computability concepts
Probability and Statistics	Probability distributions analysis, random variables properties, hypothesis testing methods, confidence intervals construction, regression analysis, and stochastic processes
Professional Ethics	Cyber ethics principles, intellectual property rights, privacy protection laws, professional responsibility codes, and ethical hacking practices

B.Tech in Computer Science and Technology Syllabus: Semester 5

B.Tech Computer Science and Technology Semester 5 advances specialised applications strategically. The programme comprehensively concentrates on artificial intelligence and distributed systems. Learners acquire skills in machine learning algorithms vital for research leadership positions.

Subject	Topics Covered
Artificial Intelligence	Search algorithms implementation, knowledge representation techniques, expert systems development, machine learning fundamentals, natural language processing, and AI ethics
Machine Learning	Supervised learning algorithms, unsupervised clustering techniques, neural networks training, deep learning architectures, model evaluation metrics, and reinforcement learning
Distributed Systems	Distributed computing models, client-server architecture, peer-to-peer networks, fault tolerance mechanisms, distributed algorithms, and cloud computing paradigms
Cryptography and Network Security	Symmetric asymmetric encryption, hash functions implementation, digital signatures verification, key management systems, network security protocols, and cybersecurity frameworks
Data Mining and Warehousing	Data preprocessing techniques, association rule mining, classification prediction algorithms, clustering methods, OLAP operations, and big data analytics
Elective I	Cloud Computing, Internet of Things, Blockchain Technology, Big Data Analytics, or Mobile Application Development

B.Tech in Computer Science and Technology Syllabus: Semester 6

B.Tech Computer Science and Technology Semester 6 integrates advanced technologies effectively. The programme culminates in systematic industry exposure and an emphasis on innovation. Learners consolidate knowledge through projects and specialisations essential for computer science careers globally.

Subject	Topics Covered
Deep Learning	Convolutional neural networks, recurrent neural architectures, generative adversarial networks, transfer learning techniques, attention mechanisms, and model deployment
Big Data Technologies	Hadoop ecosystem implementation, Spark processing framework, NoSQL databases management, data lake architecture, stream processing systems, and analytics platforms
Software Testing and Quality Assurance	Testing methodologies implementation, test case design techniques, automation frameworks development, quality metrics measurement, defect management processes, and DevOps integration
Wireless and Mobile Networks	Cellular network generations, Wi-Fi, Bluetooth technologies, mobile IP protocols, wireless security standards, 5G network architecture, and mobile computing paradigms
Elective II	Computer Vision, Natural Language Processing, Quantum Computing, Cybersecurity Operations, Game Development, or Augmented Reality
Mini Project	Problem identification analysis, literature survey completion, system design formulation, implementation development, testing validation, and documentation preparation

Students can streamline their application process using the Promilo College Admission App, which provides easy access to syllabus details, eligibility criteria, and enrollment guidance for B.Tech Computer Science and Technology programs

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Frequently Asked Questions

Does B.Tech Computer Science and Technology incorporate quantum computing concepts?

Semester 6 Elective modules cover quantum gate operations, principles of superposition and entanglement, quantum algorithm implementations such as Shor's algorithm, and quantum supremacy applications, preparing learners for careers in next-generation computing research.

What generative AI frameworks feature in the computer science curriculum?

Deep Learning courses teach transformer architectures, diffusion models implementation, large language models fine-tuning, ethical AI deployment strategies, and multimodal generative systems, enabling learners to develop intelligent content creation platforms.

Which cloud platforms does B.Tech Computer Science and Technology programme teach?

Semesters 4-6 progressively cover AWS, Azure, and GCP services; container orchestration with Kubernetes; serverless computing paradigms; microservices architecture patterns; and cloud security best practices essential for DevOps engineering roles.

How does the B.Tech Computer Science and Technology curriculum address cybersecurity operations?

Network Security courses explore threat-hunting techniques, SIEM system implementation, zero-trust architecture deployment, incident response frameworks, and AI-powered threat detection, preparing graduates to secure enterprise digital infrastructure.

What Industry 4.0 technologies in computer science appear in the B.Tech syllabus?

Distributed Systems integrates edge computing platforms, digital twin simulations, industrial IoT protocols, predictive maintenance algorithms, and cyber-physical systems architecture training for smart manufacturing and Industry 4.0 transformation initiatives.

B.Tech Computer Science and Technology Syllabus 2026: Semester-wise Breakdown

B.Tech in Computer Science and Technology Syllabus: Semester-wise Breakdown

B.Tech in Computer Science and Technology Syllabus: Semester-wise Breakdown

B.Tech in Computer Science and Technology Syllabus: Semester-wise Breakdown

B.Tech in Computer Science and Technology Syllabus: Semester 1

B.Tech in Computer Science and Technology Syllabus: Semester 2

B.Tech in Computer Science and Technology Syllabus: Semester 3

B.Tech in Computer Science and Technology Syllabus: Semester 4

B.Tech in Computer Science and Technology Syllabus: Semester 5

B.Tech in Computer Science and Technology Syllabus: Semester 6

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Frequently Asked Questions

Does B.Tech Computer Science and Technology incorporate quantum computing concepts?

What generative AI frameworks feature in the computer science curriculum?

Which cloud platforms does B.Tech Computer Science and Technology programme teach?

How does the B.Tech Computer Science and Technology curriculum address cybersecurity operations?

What Industry 4.0 technologies in computer science appear in the B.Tech syllabus?