CUET Computer Science Syllabus 2027: Units, Chapters and Books

CUET UG 2027 / Computer Science syllabus

CUET UG 2027 · Paper 308

CUET Computer Science Syllabus 2027: Units, Chapters and Books

The official CUET UG Computer Science / Informatics Practices syllabus (paper 308), unit by unit, with the book chapter each unit comes from, what changed from 2025 to 2026, and where to practise.

Practise CUET Computer Science in the Study OSOfficial NTA syllabus PDF

2027 status: NTA has not released the CUET UG 2027 syllabus. This page shows the official CUET UG 2026 Computer Science syllabus, the latest available, and will be updated when NTA publishes the 2027 version.

CUET Computer Science at a glance

Paper code
308 (Computer Science / Informatics Practices)
Questions
50 multiple-choice questions, all compulsory
Time
60 minutes
Marking
+5 for a correct answer, minus 1 for a wrong answer; 250 maximum
Syllabus
22 units, 19 chapters in our chapter map

How the CUET Computer Science paper is structured

Paper 308 covers both Computer Science and Informatics Practices. Section A is common to everyone: database concepts, SQL and computer networks. You then attempt either Section B1 (Computer Science: exception and file handling in Python, stack, queue, searching, sorting, data and networks) or Section B2 (Informatics Practices: SQL functions, Pandas, Matplotlib, networks, societal impacts and project based learning).

B1 follows NCERT Computer Science class 12 and B2 follows NCERT Informatics Practices class 12. The syllabus does not state how many of the 50 questions come from Section A.

CUET Computer Science syllabus, unit by unit

Unit titles and topics as printed in NTA’s CUET UG 2026 syllabus PDF.

Section A: common to all candidates

Unit 1

Database Concepts

  • Introduction to database concepts, difference between database and file system, relational data model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, foreign key.
  • Relational algebra: selection, projection, union, set difference and cartesian product.

Unit 2

Structured Query Language - I

  • Advantages of using Structured Query Language, Data Definition Language, Data Query Language and Data Manipulation Language, Introduction to MySQL, creating a database using MySQL, Data Types
  • Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE,
  • Data Query: SELECT, FROM, WHERE.
  • Data Manipulation: INSERT, UPDATE, DELETE
  • Math functions: POWER (), ROUND (), MOD ().
  • Text functions: UCASE () / UPPER (), LCASE () / LOWER (), MID () / SUBSTRING () / SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().

Unit 3

Structured Query Language - II

  • Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME().
  • Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (), using COUNT(*).
  • Querying and manipulating data using Group by, Having, Order by.
  • Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN.

Unit 4

Computer Networks

  • Introduction to computer networks, Evolution of networking,
  • Network types: LAN, WAN, MAN
  • Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies.
  • Basic concept of MAC and IP Address difference between Internet and web.

Section B1: Computer Science

Unit 1

Exception and File Handling in Python

  • Exception Handling: syntax errors, exceptions, need of exception handling, user-defined exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else clause, Try - finally clause, recovering and continuing with finally, built-in exception classes.
  • File Handling: text file and binary file, file types, open and close files, reading and writing text files, reading and writing binary files using pickle module, file access modes. Setting Offsets in a File

Unit 2

Stack

  • Stack (List Implementation): Introduction to stack (LIFO Operations), operations on stack (PUSH and POP) and its implementation in python. Expressions in Prefix, Infix and postfix notations, evaluating arithmetic (Postfix) expressions using stack, conversion of Infix expression to postfix expression.

Unit 3

Queue

  • Queue (List Implementation): Introduction to Queue (FIFO), Operations on Queue (INSERT and DELETE) and its implementation in Python.
  • Introduction to Deque and its implementation in Python.

Unit 4

Searching

  • Searching: Sequential search, Binary search, Analysis of Sequential and Binary Search. Dry run to identify best, worst and average cases. Implementation of searching techniques in Python.
  • Hashing: Hash Functions, Collision Resolution.

Unit 5

Sorting

  • Overview of sorting techniques, Bubble Sort, Selection Sort and Insertion Sort. Dry run to identify best, worst and average cases. Implementation of sorting techniques in Python.

Unit 6

Understanding Data

  • Data and its purpose, collection and organization; understanding data using statistical methods: mean, median, mode (Measures of central tendency), (Measures of Variability) range, standard deviation. variance; data interpretation.

Unit 7

Database Concepts

  • Introduction to database concepts, difference between database and file system, relational data model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, foreign key;
  • Relational algebra: selection, projection, union, set difference and cartesian product.

Unit 8

Structured Query Language

  • Advantages of using Structured Query Language, Data Definition Language, Data Query Language and Data Manipulation Language, Introduction to MySQL, creating a database using MySQL, Data Types and constraints in MySQL
  • Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE.
  • Data Query: SELECT, FROM, WHERE.
  • Data Manipulation: INSERT, UPDATE, DELETE.
  • Math functions: POWER (), ROUND (), MOD ().
  • Text functions: UCASE () / UPPER (), LCASE () / LOWER (), MID () / SUBSTRING () / SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().
  • Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME ().
  • Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (), using COUNT (*).
  • Querying and manipulating data using Group by, Having, Order by.
  • Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN.

Unit 9

Computer Networks

  • Introduction to computer networks, Evolution of networking,
  • Network types: LAN, WAN, MAN
  • Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies
  • Basic concept of MAC and IP Address.
  • Difference between Internet and web
  • Domain Name System

Unit 10

Data Communication

  • Concept of communication, Types of Data Communication, switching techniques.
  • Communication Media: Wired Technologies - Twisted pair cable, Co-axial cable, Ethernet Cable, Optical Fibre.
  • Introduction to mobile telecommunication technologies.
  • Wireless Technologies - Bluetooth, WLAN, Infrared, Microwave.
  • Network Protocol: Need for Protocol, Categorization and Examples of protocol, HTTP, FTP, IP, PPP; electronic mail protocol.
  • Concept of Channel, Bandwidth (Hz, KHz, MHz) and Data Transfer rate (bps, Kbps, Mbps, Gbps, Tbps).

Unit 11

Security Aspects

  • Threats and prevention: Viruses, Worms, Trojan horse, Spam, Cookies, Adware, Firewall, http vs https.
  • Network Security Concepts: Firewall, Cookies, Hackers and Crackers
  • Antivirus and their workings
  • Network security threats: Denial of service, Intrusion problems, Snooping, Eavesdropping.

Section B2: Informatics Practices

Unit 1

Database Query using SQL

  • Math functions: POWER (), ROUND (), MOD ().
  • Text functions: UCASE () / UPPER (), LCASE () / LOWER (), MID () / SUBSTRING () / SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().
  • Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME ().
  • Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (), using COUNT (*).
  • Querying and manipulating data using Group by, Having, Order by.
  • Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN

Unit 2

Data Handling using Pandas - I

  • Introduction to Python libraries-Pandas, NumPy, Matplotlib.
  • Data structures in Pandas - Series and DataFrames.
  • Series: Creation of Series from - ndarray, dictionary, scalar value; mathematical operations; Head and Tail functions; Selection, Indexing, and Slicing.
  • DataFrames: creation - from dictionary of Series, list of dictionaries, Text/CSV files; display; iteration; Operations on Rows and columns: add, select, delete, rename; Head and Tail functions; Indexing using Labels, Boolean Indexing; Styling & Formatting data, Head and Tail functions; Joining, Merging and Concatenations.
  • Importing/Exporting Data between CSV files and DataFrames.

Unit 3

Data Handling using Pandas - II

  • Descriptive Statistics: max, min, count, sum, mean, median, mode, quartile, Standard deviation, variance.
  • DataFrame operations: Aggregation, group by, Sorting, Deleting and Renaming Index, Pivoting.
  • Handling missing values - dropping and filling.
  • Importing/Exporting Data between MySQL database and Pandas.

Unit 4

Plotting Data using Matplotlib

  • Purpose of plotting; drawing and saving the following types of plots using Matplotlib - line plot, bargraph, histogram, pie chart, frequency polygon, box plot, and scatter plot.
  • Customizing plots: color, style (dashed, dotted), width; adding label, title, and legend in plots.

Unit 5

Introduction to Computer Networks

  • Introduction to Networks, Types of networks: LAN, MAN, WAN.
  • Network Devices: modem, hub, switch, repeater, router, gateway.
  • Network Topologies: Star, Bus, Tree, Mesh.
  • Introduction to Internet, URL, WWW, and its applications- Web, email, Chat, VoIP.
  • Website: Introduction, the difference between a website and webpage, static vs dynamic web page, webserver, and hosting of a website.
  • Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plug-ins, cookies.

Unit 6

Societal Impacts

  • Digital footprint, Etiquettes for Net surfing and for communicating through social media, data protection, Intellectual Property Rights (IPR) and their violation, plagiarism licensing and copyrights, Free and Open-Source Software (FOSS), creative commons, Cybercrime and cyber laws, hacking, phishing, cyberbullying, Overview of Indian IT Act, preventing cybercrime.
  • E-waste: Hazards and management.
  • Awareness about health concerns related to the usage of technology- like effect on eyesight, physiological issues, and ergonomic aspects.

Unit 7

Project Based Learning

  • Approaches for Solving Projects, Steps in project-based learning, Teamwork, Components of Teamwork

Chapter map

Each row is one chapter of study, with the book it comes from. Where a syllabus topic is missing from that book, the row says so.

Common to both (Section A)

  1. Database ConceptsNCERT Computer Science Class 12, chapter 8Not covered in this source: Relational algebra: selection, projection, union, set difference and cartesian product.
  2. Structured Query Language (SQL)NCERT Computer Science Class 12, chapter 9
  3. Computer NetworksNCERT Computer Science Class 12, chapter 10

Computer Science (Section B1)

  1. Exception Handling in PythonNCERT Computer Science Class 12, chapter 1
  2. File Handling in PythonNCERT Computer Science Class 12, chapter 2
  3. StackNCERT Computer Science Class 12, chapter 3
  4. QueueNCERT Computer Science Class 12, chapter 4
  5. SortingNCERT Computer Science Class 12, chapter 5
  6. SearchingNCERT Computer Science Class 12, chapter 6
  7. Understanding DataNCERT Computer Science Class 12, chapter 7
  8. Data CommunicationNCERT Computer Science Class 12, chapter 11
  9. Security AspectsNCERT Computer Science Class 12, chapter 12

Informatics Practices (Section B2)

  1. Querying and SQL FunctionsNCERT Informatics Practices Class 12, chapter 1
  2. Data Handling using Pandas - INCERT Informatics Practices Class 12, chapter 2
  3. Data Handling using Pandas - IINCERT Informatics Practices Class 12, chapter 3
  4. Plotting Data using MatplotlibNCERT Informatics Practices Class 12, chapter 4
  5. Introduction to Computer Networks / Internet and WebNCERT Informatics Practices Class 12, chapter 5
  6. Societal ImpactsNCERT Informatics Practices Class 12, chapter 6
  7. Project Based LearningNCERT Informatics Practices Class 12, chapter 7

What changed from 2025 to 2026

Minor: four small additions in CS, Project Based Learning added to IP; otherwise formatting only.

Added

  • B1 File Handling: 'Setting Offsets in a File' (seek/tell)
  • B1 Understanding Data: mode, measures of variability (range, variance)
  • B1 SQL: 'constraints in MySQL'
  • B1 Computer Networks: 'Domain Name System'
  • B2 unit 7 Project Based Learning (approaches, steps, teamwork)
  • Stack: 'evaluating arithmetic (Postfix) expressions' wording

Renamed

  • 'Computer Science/Information Practices' -> 'Computer Science/Informatics Practices'
  • 'Dqueue' typo -> 'Deque'

Moved

  • 'Hashing: Hash Functions, Collision Resolution' moved from Sorting to Searching (matches NCERT, where hashing is in Ch 6 Searching)

Compared against NTA’s CUET UG 2025 syllabus PDF. When the 2027 syllabus is out, this section will compare 2027 with 2026.

Books to study from

  • NCERT Computer Science class 12 (Section B1)
  • NCERT Informatics Practices class 12 (Section B2)
  • NCERT Informatics Practices class 11, chapters on databases and SQL (useful for Section A)

NCERT books are on ncert.nic.in; NIOS course material is on nios.ac.in.

Practise CUET Computer Science chapter by chapter

The Study OS CUET track follows the chapter map above. Choose Computer Science as one of your papers, revise a chapter, then test it with exam-style questions and read the explanation after every answer.

Practise CUET Computer Science

Frequently asked questions

What is the exam pattern of the CUET Computer Science paper?

CUET UG Computer Science (paper code 308) has 50 compulsory multiple-choice questions to be answered in 60 minutes. A correct answer earns 5 marks and a wrong answer costs 1 mark, so the paper is out of 250. This is the CUET UG 2026 pattern; NTA has not announced any change for 2027.

Has NTA released the CUET Computer Science syllabus for 2027?

Not yet. The syllabus on this page is the official CUET UG 2026 Computer Science syllabus, which is the latest one NTA has published. This page will be updated when the 2027 syllabus is released.

Which books should I study for CUET Computer Science?

Study from: NCERT Computer Science class 12 (Section B1); NCERT Informatics Practices class 12 (Section B2); NCERT Informatics Practices class 11, chapters on databases and SQL (useful for Section A).

What changed in the CUET Computer Science syllabus?

Minor: 2026 added file offsets (seek and tell), MySQL constraints and DNS to Computer Science, and project based learning to IP. This compares the 2025 and 2026 syllabi; the 2027 syllabus is not out yet.

Is CUET Computer Science different from Informatics Practices?

They share one paper code, 308. Section A (databases, SQL, networks) is common. After that you attempt Section B1 if you studied Computer Science or Section B2 if you studied Informatics Practices.

Which programming language is used in CUET Computer Science?

Python. Section B1 follows NCERT Computer Science class 12, which uses Python for file handling, stacks, queues, searching and sorting. Section B2 uses Python with Pandas and Matplotlib.

Other CUET UG 2027 syllabi

EnglishAccountancyAgricultureAnthropologyBiologyBusiness StudiesChemistryEnvironmental ScienceEconomicsFine ArtsGeographyHistoryHome ScienceKTPIMass MediaMathsPerforming ArtsPhysical EducationPhysicsPolitical SciencePsychologySanskritSociologyGeneral Test

CUET UG 2027 overview: exam pattern, dates and how to choose subjects

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