UG · 4 years · 8 semesters
B.Tech in Computer Science & Engineering is a four-year, eight-semester degree offered under AICTE-approved universities across India. The first year is shared with other engineering branches and settles the mathematics, physics and programming base; from the third semester the syllabus turns almost entirely to computing — data structures, discrete mathematics, computer organisation, operating systems, databases, networks, compilers and a final-year elective track that usually includes machine learning, cloud computing or information security.
Syllabus map
Mathematics I, physics, C programming, basic electrical engineering and technical English.
BAS101
Engineering Mathematics I
5 units · 4 credits
BCS101
Programming for Problem Solving in C
5 units · 4 credits
BAS102
Engineering Physics
5 units · 4 credits
BEE101
Basic Electrical Engineering
5 units · 3 credits
BAS103
English and Technical Communication
5 units · 2 credits
Mathematics II, chemistry, object-oriented programming, electronics and environment studies.
BAS201
Engineering Mathematics II
5 units · 4 credits
BCS201
Object Oriented Programming with C++
5 units · 4 credits
BAS202
Engineering Chemistry
5 units · 3 credits
BEC201
Basic Electronics Engineering
5 units · 3 credits
BAS203
Environmental Studies
5 units · 2 credits
Data structures, discrete mathematics, digital logic, computer organisation and Python.
BCS301
Data Structures and Algorithms
5 units · 4 credits
BCS302
Discrete Structures and Theory of Logic
5 units · 4 credits
BCS303
Digital Logic Design
5 units · 4 credits
BCS304
Computer Organisation and Architecture
5 units · 4 credits
BCC302
Python Programming
5 units · 3 credits
Operating systems, DBMS, algorithm design, automata theory and mathematics for computing.
BCS401
Operating Systems
5 units · 4 credits
BCS402
Database Management Systems
5 units · 4 credits
BCS403
Design and Analysis of Algorithms
5 units · 4 credits
BCS404
Theory of Automata and Formal Languages
5 units · 4 credits
BAS401
Probability and Statistics for Computing
5 units · 3 credits
Computer networks, software engineering, web technology, Java and design thinking.
BCS501
Computer Networks
5 units · 4 credits
BCS502
Software Engineering
5 units · 3 credits
BCS503
Web Technology
5 units · 3 credits
BCS504
Java Programming
5 units · 3 credits
BCC501
Design Thinking and Innovation
5 units · 2 credits
Compiler design, artificial intelligence, machine learning, computer graphics and microprocessors.
BCS601
Compiler Design
5 units · 4 credits
BCS602
Artificial Intelligence
5 units · 4 credits
BCS603
Machine Learning Techniques
5 units · 4 credits
BCS604
Computer Graphics and Multimedia
5 units · 3 credits
BCS605
Microprocessors and Microcontrollers
5 units · 3 credits
Cryptography, cloud computing, distributed systems, data analytics and the minor project.
BCS701
Cryptography and Network Security
5 units · 4 credits
BCS702
Cloud Computing
5 units · 3 credits
BCS703
Distributed Systems
5 units · 3 credits
BCS704
Data Analytics
5 units · 3 credits
BCP751
Minor Project and Industrial Training
5 units · 4 credits
Major project, internet of things, professional ethics and open elective study.
BCS801
Internet of Things
5 units · 3 credits
BOE801
Professional Ethics and Cyber Law
5 units · 2 credits
BCP851
Major Project
5 units · 9 credits
BCS852
Industrial Internship and Seminar
5 units · 3 credits
Most Indian universities assess each subject out of 100 marks, split between an internal component (assignments, sessionals, laboratory records) and a three-hour end-semester paper. The end-semester paper is where unit-wise study pays off: papers are almost always set unit by unit, with an internal choice inside each unit. That is the reason the material on this site is filed the same way — course, semester, subject, unit — instead of as one long syllabus document.
Laboratory work carries real weight in CSE. Programming for Problem Solving, Data Structures, DBMS, Operating Systems and Networks each pair with a laboratory course, and the viva at the end of the lab is normally drawn straight from the theory units. Writing the program is only half of it; being able to explain the complexity, the data structure chosen and the failure cases is what the examiner is listening for.
Placement preparation overlaps heavily with the second and third year syllabus. Data structures, algorithms, operating systems, DBMS and computer networks are exactly the five subjects most technical interviews draw from, so revision done for the university paper is rarely wasted — provided it goes past definitions into reasoning about why a method works and where it breaks.
Shared engineering foundation: calculus and linear algebra, engineering physics or chemistry, basic electrical or electronics, C programming and an engineering graphics or workshop component. The single most important subject for later years is C programming, because pointers and memory layout return in data structures, operating systems and systems programming.
The core of the degree begins: data structures, discrete mathematics, computer organisation, object-oriented programming, design and analysis of algorithms, and operating systems. Marks here are earned by working problems, not by reading — a semester spent reading algorithm proofs without tracing them on paper generally shows up in the result.
Systems and data subjects: database management, computer networks, software engineering, theory of computation, compiler design and web technologies. This is also the year most students sit for internships, so the syllabus and the interview syllabus converge.
Electives and the project. Machine learning, cloud computing, cryptography and distributed systems are the common elective choices, and the major project plus an internship or seminar usually carries more credits than any single theory paper.
