B.Tech Computer Science

About B.Tech Computer Science

About B.Tech Computer Science Engineering

B.Tech in Computer Science & Engineering (CSE) is India's most sought-after undergraduate degree. The four-year programme trains students in programming, algorithms, data structures, artificial intelligence, machine learning, cloud computing and networking.

Graduates are placed in top MNCs — Google, Amazon, Microsoft, TCS, Infosys — and high-growth startups with average packages of ₹6–18 LPA. IIT and NIT graduates regularly receive offers above ₹25 LPA.

Duration

4 Years

Average Fees

₹80,000 – ₹1,20,000 / year

Stream

Engineering & Tech

Eligibility Criteria

Eligibility for B.Tech Computer Science

10+2 with Physics, Chemistry & Mathematics (PCM) with a minimum of 60% aggregate marks.

Entrance Exams Accepted

JEE Main (for NITs, IIITs, CFTIs)
JEE Advanced (for IITs)
State CETs — MHT-CET, KEAM, KCET, AP EAMCET, TS EAMCET
BITSAT (for BITS Pilani campuses)
VITEEE, SRMJEEE, MET (for private universities)

Final-year 10+2 students may apply provisionally.

Pro Tip

Start preparing at least 12 months in advance. Our free counsellors guide you with a personalised college plan based on your marks and budget.

Course Curriculum & Syllabus

Mathematics I

Year 1 · Semester 1 · 2024-25

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Unit 1: Calculus — Limits, Continuity, Differentiability, Mean Value Theorems Unit 2: Sequences & Series — Convergence, Power Series, Taylor Series Unit 3: Multivariable Calculus — Partial Derivatives, Gradient, Divergence, Curl Unit 4: Linear Algebra — Matrices, Determinants, Eigenvalues & Eigenvectors Unit 5: Differential Equations — First Order ODEs, Second Order Linear ODEs

Data Structures & Algorithms

Year 1 · Semester 2 · 2024-25

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Unit 1: Introduction to Data Structures — Arrays, Linked Lists (Singly, Doubly, Circular) Unit 2: Stacks & Queues — Implementation, Applications Unit 3: Trees — Binary Trees, BST, AVL Trees, Heaps, B-Trees Unit 4: Graphs — BFS, DFS, Shortest Path (Dijkstra, Bellman-Ford), MST (Prim, Kruskal) Unit 5: Sorting & Searching — QuickSort, MergeSort, HeapSort, Binary Search Unit 6: Hashing — Hash Functions, Collision Resolution Techniques

Operating Systems

Year 2 · Semester 3 · 2024-25

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Unit 1: Introduction to OS — Process Management, Scheduling Algorithms Unit 2: Memory Management — Paging, Segmentation, Virtual Memory Unit 3: File Systems — File Allocation, Directory Structure, Disk Scheduling Unit 4: Synchronization — Semaphores, Monitors, Deadlock Detection & Prevention Unit 5: I/O Management & Security

Database Management Systems

Year 2 · Semester 4 · 2024-25

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Unit 1: Relational Model — ER Diagrams, Relational Algebra Unit 2: SQL — DDL, DML, Joins, Subqueries, Triggers, Stored Procedures Unit 3: Normalization — 1NF, 2NF, 3NF, BCNF Unit 4: Transaction Management — ACID Properties, Concurrency Control Unit 5: Indexing & Query Optimization — B+ Trees, Hashing

Computer Networks

Year 2 · Semester 4 · 2024-25

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Unit 1: Network Fundamentals — OSI Model, TCP/IP Stack Unit 2: Data Link Layer — Framing, Error Control, MAC Protocols Unit 3: Network Layer — IP Addressing, Routing Protocols (OSPF, BGP) Unit 4: Transport Layer — TCP, UDP, Congestion Control Unit 5: Application Layer — HTTP, DNS, FTP, Email Protocols Unit 6: Network Security — Cryptography Basics, SSL/TLS

Algorithms

Year 3 · Semester 5 · 2024-25

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Unit 1: Algorithm Analysis — Asymptotic Notation, Recurrence Relations Unit 2: Divide & Conquer — MergeSort, QuickSort, Binary Search Unit 3: Greedy Algorithms — Activity Selection, Huffman Coding Unit 4: Dynamic Programming — Memoization, Tabulation, Classic Problems Unit 5: Graph Algorithms — Advanced BFS/DFS, Network Flow Unit 6: NP-Completeness — P vs NP, Reductions

Discrete Mathematics

Year 1 · Semester 1 · 2024-25

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Unit 1: Logic & Proofs — Propositional Logic, Predicate Logic, Proof Techniques Unit 2: Set Theory — Sets, Relations, Functions, Partial Orders Unit 3: Combinatorics — Counting, Permutations, Combinations, Pigeonhole Principle Unit 4: Graph Theory — Basic Graphs, Trees, Planarity, Coloring Unit 5: Number Theory — Divisibility, Modular Arithmetic, RSA Basics

Machine Learning

Year 4 · Semester 7 · 2024-25

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Unit 1: Introduction — Types of ML, Bias-Variance Tradeoff, Cross-Validation Unit 2: Supervised Learning — Linear Regression, Logistic Regression, SVM, Decision Trees Unit 3: Ensemble Methods — Bagging, Boosting, Random Forests, XGBoost Unit 4: Unsupervised Learning — K-Means, Hierarchical Clustering, PCA Unit 5: Neural Networks — Perceptron, Backpropagation, CNN, RNN Unit 6: Model Evaluation & Deployment

Question Bank & Previous Year Papers

Mid-Term

Mathematics I

IIT Delhi Maths-I Mid-Term 2024

Year 1 Sem 1 2023-24

End-Term

Data Structures & Algorithms

IIT Delhi B.Tech CSE Sem 2 End-Term 2024

Year 1 Sem 2 2023-24

Computer Networks

IIT Delhi CN End-Term 2024

Year 2 Sem 4 2023-24