CUET Computer Science Syllabus 2025 has been officially released by the National Testing Agency (NTA). The syllabus contains topics such as Programming Languages, Data Structures, Computer Networks, etc. Students can expect more than 10 questions in both the Networking and the SQL chapters.
The Computer Science syllabus for CUET 2025 will contain sections A and B (B1 and B2). Section A will have 15 compulsory questions covering both, i.e., Computer Science/Informatics Practices. Section B includes two sections: B1 and B2. The B1 and B2 papers will have 35 questions each, out of which students will have to answer 25 questions from each paper. Check out the complete blog to learn everything related to the Computer Science syllabus for CUET 2025, along with chapter-wise weightage:
Table of Contents
CUET Computer Science Syllabus 2025
There are a total of three sections included in the CUET Syllabus 2025 for Computer Science. The topics that are covered in these sections include Database Concepts, Structured Query Language, Stack, Searching and Sorting, Societal Impacts, and many more. To know the details of the CUET 2025 Computer Science syllabus, follow the table given below:
| Sections | Units | Topics |
|---|---|---|
| Section A | Exceptions 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-elsee 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. |
| 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 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 | |
| Section B1 | 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, opening and closing files, reading and writing text files, reading and writing binary files using the pickle module, file access modes. |
| 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 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 DQueue 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. | |
| 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, Implementing the Map Abstract Data Type. | |
| Understanding Data | Data and its purpose, collection and organization; understanding data using statistical methods: mean, median, standard deviation, variance; data interpretation; visualization of data. | |
| 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 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 | |
| Section B2: Informatics Practices | 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, Chapter 1: Database Query using SQL Chapter 2: Data Handling using Pandas – I Chapter 9: Computer Networks Page | 6 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 the 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 usingLabels, 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 web page, webserver, and hosting of a website Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plugins,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 Source Software (FOSS), Cybercrime and cyber laws, hacking, Chapter 5: Introduction to Computer Networks Chapter 3: Data Handling using Pandas – II Chapter 4: Plotting Data using Matplotlib Chapter 6: Societal Impacts Page | 7 phishing, cyberbullying, Overview of Indian IT Act, preventing cybercrime. E-waste its a hazard and management Awareness about health concerns related to the usage of technology like effect on eyesight, physiological issues, and ergonomic aspects. | |
| 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 |
CUET Computer Science Syllabus 2025: Chapter-Wise Weightage
Knowing the chapter-wise weightage during the CUET Preparation 2025 can help students create a strategy to score higher. In the Computer Science Syllabus 2025 for CUET, the topics that carry the highest weightage are Networking and SQL. On the other hand, students can expect only 2-3 questions from the topic Code Completion. Tabulated below is the complete chapter-wise weightage for CUET Computer Science Syllabus 2025:
| Computer Science Chapter | Number of Expected Questions |
|---|---|
| Networking | 10-12 |
| SQL | 10-12 |
| Bubble Sorting | 4-5 |
| Assertion Reasoning | 2-3 |
| Code Completion | 2-3 |
CUET Computer Science Syllabus: Important Books
When students are preparing for CUET 2025, for the Computer Science exam, it is important to refer to good study materials. These books help students get acquainted with the CUET Question Paper 2025, and they can also solve mock tests and revise concepts. Listed below are a few recommended books that students can follow:
| Name of the Book | Name of the Author/ Publisher |
|---|---|
| Together with Computer Science- Class 12 | Rachna Sagar |
| Computer Science with Python- Class 12 | Sumitha Arora |
| NCERT Computer Science Textbook- Class 12 | NCERT Publications |
Conclusion
CUET 2025 Computer Science syllabus covers Computer Science concepts, Fundamentals, including Programming Languages, Data Structures, Algorithms, and related topics. While preparing for this exam, students must be well-familiarised with the topics, all units and subunits. This will help them prepare for CUET 2025 effectively and efficiently.
