The CUET Computer Science Syllabus 2025 is expected to be released soon by the National Testing Agency (NTA), following the official notification anticipated in the last week of February 2025. The syllabus is divided into three sections: Section A, Section B1, and Section B2, covering key topics like Exception and File Handling in Python, Computer Networks, Stack, Queue, Sorting, Hashing, SQL Database Queries, Data Visualization with Matplotlib, and Data Communication, among others.
Understanding the CUET Computer Science Syllabus is crucial for candidates aiming to excel in the CUET 2025 exam. It provides a comprehensive overview of the topics and units required for effective preparation, helping students enhance their chances of admission to their preferred CUET-affiliated universities or colleges.
The CUET 2025 exam dates are expected to be announced in February 2025, with the exam likely scheduled for May or June 2025 in a Computer-Based Test (CBT) format. Stay updated to access the detailed syllabus and prepare strategically for the exam.
The CUET Computer Science Syllabus 2025 includes essential topics such as programming languages, data structures, and algorithms. The question paper is divided into two main sections: Section A and Section B, with Section B further split into B1 and B2.
It’s important to note that there are no optional questions in the exam. The total marks for the CUET UG Computer Science exam are 250, and candidates will have 60 minutes to complete it.
For a more detailed breakdown of the syllabus and preparation tips, explore the complete guide. Preparing thoroughly with this syllabus will help you excel in the CUET 2025 exam and secure admission to top universities.
The CUET Computer Science Syllabus 2025 is divided into three sections, and candidates should focus on preparing thoroughly for each section, as questions will be drawn from all of them in the CUET UG 2025 exam. To help streamline your preparation, the syllabus has been broken down into unit-wise topics. Refer to the detailed table below for a comprehensive understanding of the CUET Computer Science Syllabus 2025. Preparing systematically for each section is key to scoring well and securing admission to your desired institution.
| Topic | Detailed Syllabus |
| Exception and File Handling | – Syntax errors and exceptions.- User-defined exceptions.- Raising and handling exceptions.- try-except-else and try-finally clauses.- Built-in exception classes. |
| File Handling | – Text and binary files.- File types and file access modes.- Reading and writing text files.- Reading and writing binary files using the pickle module. |
| Database Concepts | – Introduction to relational data models: Domain, tuple, relation.- Keys: Candidate, primary, alternate, and foreign keys.- Relational algebra: Selection, projection, union, set difference, and Cartesian product. |
| Structured Query Language | – SQL commands: CREATE, DROP, ALTER, SELECT, INSERT, UPDATE, DELETE.- Mathematical functions: POWER(), ROUND(), MOD().- Text functions: UCASE()/UPPER(), LCASE()/LOWER(), MID()/SUBSTRING(), LENGTH().- Date functions: NOW(), DATE(), MONTHNAME(), DAYNAME().- Aggregate functions: MAX(), MIN(), SUM(), COUNT(). |
| Computer Networks | – Network types: LAN, WAN, MAN.- Devices: Modem, hub, switch, router, gateway.- Topologies: Mesh, Ring, Star, Bus, Tree.- Basic concepts of MAC and IP addresses.- Difference between the Internet and the web. |
| Topic | Detailed Syllabus |
| Exception and File Handling | – Detailed study of exception handling concepts as in Section A. |
| Stack (List Implementation) | – LIFO operations: PUSH and POP.- Expression types: Prefix, Infix, Postfix.- Evaluating and converting expressions. |
| Queue (List Implementation) | – FIFO operations: INSERT and DELETE.- Introduction to DQueue and its Python implementation. |
| Searching | – Sequential and binary search.- Analysis of best, worst, and average cases.- Implementation in Python. |
| Sorting | – Bubble Sort, Selection Sort, Insertion Sort.- Dry-run analysis for best, worst, and average cases.- Python implementation of sorting techniques. |
| Hashing | – Hash functions and collision resolution techniques.- Implementation of the map abstract data type in Python. |
| Understanding Data | – Data collection and organization.- Statistical methods: Mean, median, standard deviation, variance.- Data visualization and interpretation. |
| Topic | Detailed Syllabus |
| Database Query Using SQL | – Data Definition (CREATE, DROP, ALTER).- Data Query (SELECT, FROM, WHERE).- Data Manipulation (INSERT, UPDATE, DELETE).- Aggregate functions and grouping data: GROUP BY, HAVING, ORDER BY. |
| Data Handling Using Pandas | – Series: Creation (from arrays, dictionaries, scalars), selection, indexing, slicing, mathematical operations.- DataFrames: Creation (from dictionaries, lists, Text/CSV files), operations (add, delete, rename), styling, and merging.- Handling missing values. |
| Plotting Data Using Matplotlib | – Types of plots: Line, Bar, Pie, Scatter, Histogram, Box Plot, Frequency Polygon.- Customization: Colors, styles, labels, titles, legends.- Saving plots. |
| Computer Networks | – Network types, devices, topologies.- IP addresses, MAC addresses, Internet and web basics. |
| Societal Impacts | – Digital footprint, cybercrime, cyber laws.- IT Act, plagiarism, e-waste management.- Health concerns related to technology use. |
| Data Communication | – Wired and wireless communication technologies.- Switching techniques.- Protocols: HTTP, FTP, IP, PPP.- Bandwidth and data transfer rates.- Network security: Firewalls, cookies, antivirus, and common threats (viruses, hacking, phishing). |
Choosing the right study materials is crucial for effectively preparing for the CUET Computer Science Exam 2025. A combination of reliable books, concise notes, online resources, and CUET practice tests can greatly enhance your preparation strategy. High-quality study materials not only help you understand the subject thoroughly but also emphasize key topics likely to appear in the exam.
Here’s a recommended list of books for CUET Computer Science preparation:
These resources provide comprehensive coverage of the syllabus, helping students build a solid foundation and improve their exam readiness. Combine these with regular practice tests and revision to maximize your performance in CUET 2025.
| Relevant Links | |
| CUET General Test Syllabus | CUET Biology Syllabus |
| CUET Agriculture Syllabus | CUET Maths Syllabus |
| CUET Chemistry Syllabus | CUET English Syllabus |
| CUET Physics Syllabus | CUET History Syllabus |
Key topics in the CUET Computer Science Syllabus 2025 include Exception and File Handling in Python, Computer Networks, Data Structures like Stack and Queue, and concepts such as Sorting, Hashing, and Database Queries with SQL. Additionally, the syllabus emphasizes Data Visualization with Matplotlib, Data Communication, and other fundamental areas essential for exam success. Mastering these topics is crucial for securing a high score in the CUET 2025 Computer Science exam.
To excel in the CUET 2025 Computer Science exam, it’s essential to have a thorough understanding of the syllabus, exam pattern, and effective time management strategies. Creating a personalized study plan that addresses your strengths and areas for improvement is key. Regular practice with CUET previous year question papers, mock tests, and sample papers is vital for boosting your speed, accuracy, and problem-solving abilities, ensuring you are well-prepared for the exam.
The National Testing Agency (NTA) organizes the Common University Entrance Test (CUET) to facilitate admissions into undergraduate programs offered by CUET-affiliated colleges. For science stream students, Computer Science is one of the key subjects in the CUET exam, making it an important focus area for their preparation.
CUET domain subjects are course-specific topics that candidates can select based on the undergraduate program they wish to pursue at CUET-affiliated universities. These subjects fall under Section 2 of the CUET UG exam. Candidates have the flexibility to choose up to five subjects across all three sections, allowing them to tailor their preparation to align with their academic goals.
To excel in the Common University Entrance Test (CUET), focus on practicing a variety of questions across different difficulty levels—easy, moderate, and advanced. Enhance your preparation by learning quick problem-solving techniques for math through CUET online coaching platforms like SuperGrads or personalized one-on-one sessions. Consistent practice with diverse question sets will strengthen your skills and boost your confidence for the CUET exam.
Commerce students appearing for CUET 2025 can choose between Mathematics or Informatics Practices as part of their domain subjects. The selection of CUET courses differs for commerce students based on whether they have opted for Mathematics. It’s crucial for candidates to carefully select their domain subjects while filling out the CUET 2025 application form, ensuring alignment with their desired undergraduate programs.
The Common University Entrance Test (CUET) is widely accepted by many B.Tech colleges in India for admissions. Renowned institutions like Guru Gobind Singh Indraprastha University, Amity University Noida, and Manipal University offer B.Tech programs based on CUET scores. Additionally, Banaras Hindu University (BHU), one of India’s top B.Tech colleges, also accepts CUET scores, making it an essential exam for engineering aspirants.
A CUET raw score between 200-400 is generally considered low and may limit your chances of admission to top universities. To increase your likelihood of securing a seat at prestigious CUET-participating institutions, aim for a score of 600 or higher. A strong CUET score can significantly enhance your opportunities for admission to sought-after programs and universities.
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