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CUET Computer Science Syllabus 2026 (Released): Check Topics, Pattern, Download PDF

Samiksha Rautela Updated On: January 02, 2026 06:08 PM | CUET

CUET 2026 Computer Science exam includes questions from the NCERT Class 12 syllabus. To excel in CUET UG 2026, you should download the CUET Computer Science Syllabus 2026 PDF from here and enhance your preparation.

CUET Computer Science syllabus 2026has been released by NTA. Students preparing to take the CUET 2026 exam should carefully go through the CUET Computer Science syllabus 2026. The main topics covered in the CUET Computer Science Syllabus 2026 are computer networks, database concepts, societal implications, Python exception and file handling, and data communication. Topics including computer networks, societal effects, math functions, text functions, and date functions are also covered in the syllabus. Additionally, you can download the officialCUET UG 2026Computer Science syllabus in PDF format. The CUET Computer Science Syllabus 2026 PDF can be downloaded by Students by simply clicking the link below.

NTA will conduct the exam in CBT mode only. CUET UG 2026 provides UG admission in Central, Deemed to be, and PrivateCUET participating universities 2026. The exam consists of three sections, namely Section IA, Section IB, Section II, and Section III. The former two sections will be for Languages, the second section will be domain-specific, and the last section will be a General Test, which will be optional. The level of questions will be of Class 12th.

Continue reading to know more about CUET 2026 Computer Science Syllabus in detail!

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CUET UG 2026 Answer Key	CUET UG 2026 Cut Off

CUET 2026 Computer Science Syllabus: Download PDF

The latest CUET Computer Science syllabus 2026 PDF is provided below. You can just click on the link to view and download the file:

CUET 2026 Computer Science Syllabus PDF Download

CUET Computer Science Syllabus 2026

Check out a quick overview of CUET 2026 Computer Science syllabus below.

Section A

Topic	Detailed Syllabus
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
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, DELETE Math functions: POWER (), ROUND (), MOD () Text functions: UCASE () / UPPER (), LCASE () / LOWER (), MID () / SUBSTRING () / SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ()
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.
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

Topic	Detailed Syllabus
Exception and File Handling in Python	Exception Handling: syntax errors, exceptions, need of exception handling, userdefined exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else clause, Try - finally clause, recovering and continuing with finally, builtin 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
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.
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.
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.
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.
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.
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.
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
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
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).
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

Topic	Detailed Syllabus
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
Data Handling using Pandas – I	Introduction to Python libraries-Pandas, NumPy, Matplotlib. Data structures in Pandas - Series and DataFrames. Series: Creation of Series from – and 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.
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
Plotting Data using Matplotlib	Purpose of plotting; drawing and saving t h e 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.
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 webpage, webserver, and hosting of a website. Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plug-ins, cookies.
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- S o u r c e 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.
Project Based Learning	Approaches for Solving Projects, Steps in project-based learning, Teamwork, Components of Teamwork

Also Read:CUET preparation tips 2026

Best Books for CUET 2026 Computer Science Syllabus

CUET Computer Science syllabus 2026 has all the topics from class 12th. Here are a few important books for CUET Computer Science preparation:

Book Name	Author
Computer Awareness	Arihant Experts
Class XI and XII Computer Science NCERT Textbook	NCERT
Together with Computer Science Class 12	Rachna Sagar
Computer Science with Python Class 12	Sumita Arora
Oswaal NTA CUET (UG) Question Bank Chapter-wise & Topic-wise: Computer Science	Oswaal Books
Computer Science: A Structured Approach Using C++	Behrouz A. Forouzan

CUET 2026 Syllabus for All the Papers

The syllabus for all the papers of CUET 2026 can be checked here.

CUET 2026 History Syllabus

CUET 2026 Geography Syllabus

CUET 2026 Environmental Studies Syllabus

CUET 2026 Anthropology Syllabus

CUET 2026 Agriculture Syllabus

CUET 2026 Sociology Syllabus

CUET 2026 Psychology Syllabus

CUET 2026 Physics Syllabus

CUET 2026 Mathematics Syllabus

CUET 2026 Political Science Syllabus

CUET 2026 Performing Arts Syllabus

CUET 2026 Chemistry Syllabus

CUET 2026 Biology Syllabus

CUET 2026 Art Education Sculpture Syllabus

CUET 2026 Home Science Syllabus

CUET 2026 Knowledge Tradition – Practices India Syllabus

CUET 2026 Teaching Aptitude Syllabus

CUET 2026 Accountancy Syllabus

CUET 2026 Legal Studies Syllabus

Students willing to extract more information about UG admissions in India, can simply dial the student helpline number 1800-572-977 (toll-free) and talk with our admission experts.

Stay tuned toCollegeDekhoto know more about CUET 2026!

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