CUET Computer Science Syllabus 2026

The CUET Computer Science syllabus 2026 consists of two sections, Section A and Section B. Section B is further divided into B1 and B2. Section A of the CUET UG Computer Science exam consists of 15 obligatory questions that include both computer science and informatics practices. Sections B1 and B2 contain 35 problems from Computer Science and Informatics Practices, respectively. There will be no optional questions in the CUET Computer Science Question Paper 2026. Read the entire post to understand the detailed syllabus for the CUET UG syllabus of Computer Science.

CUET Computer Science Syllabus 2026

Students can start studying for the CUET UG exam in May / June 2026 by learning the CUET Computer Science Syllabus 2026, increasing their chances of obtaining a place at a CUET-accepting university or college. The CUET UG 2026 exam has a total of 250 marks and it has negative markings. The CUET UG Computer Science syllabus covers all of the topics and units that must be studied to succeed on the exam.

CUET Computer Science Exam Pattern 2026

The CUET 2026 date sheet is scheduled to be released in the second week of April 2026. There are a total 50 questions in the question paper. Check out the complete exam pattern below.

Download CUET UG Computer Science Syllabus PDF 2026

CUET UG Computer Science Syllabus PDF

CUET Computer Science Syllabus 2026

Section A

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.

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, DataTypes
•  Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE,Data Query: SELECT, FROM, WHERE
• Data Manipulation: INSERT, UPDATE, DELETEMath functions: POWER (), ROUND (), MOD ().Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (),LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (),
  RTRIM (), TRIM ().

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

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

1: Exception and File Handling in Python

• Exception Handling: syntax errors, exceptions, need for 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, opening and closing files, reading and writing text files, reading and writing binary files using the pickle module, file access modes.

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 expressions using a stack, conversion of an Infix expression to a postfix expression

3: Queue

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

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.

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.
• Hashing: Hash Functions, Collision Resolution.

6: Understanding Data

• Data and its purpose, collection and organization; understanding data using statistical methods: mean, median, standard deviation, variance; data interpretation.

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.

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
• 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

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

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)

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

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, and Order by.
• Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN

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 an array, 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.

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 the Index, and Pivoting.
• Handling missing values – dropping and filling.
• Importing/Exporting Data between MySQL database and Pandas.

4: Plotting Data using Matplotlib

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

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 a webpage, static vs
• dynamic webpage, web server, and hosting of a website.
• Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plug-ins, cookies.

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
• Awareness about health concerns related to the usage of technology, like the effect on eyesight, physiological issues, and ergonomic aspects.
• E-waste: hazards and management.

Easy CUET Preparation Guide

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