CBSE Class 11 Computer Science Syllabus 2025-26: PDF Download

The Central Board of Secondary Education has released the CBSE 11th Class Computer Science syllabus for the academic year 2025-26. Students can visit the official website at cbseacademic.nic.in to access and download the CBSE Class 11 syllabus 2025-26 for the computer science subject. Computer Systems & Organisation, Computational Thinking & Programming-1, and Society, Law, & Ethics are the main units included in the syllabus.

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This Story also Contains

1. Unit-Wise CBSE 11th Class Computer Science Syllabus 2025-26
2. How Can I Download the CBSE Class 11 Computer Science Syllabus 2025-26 Online?
3. CBSE 11th Class Practical Computer Science Syllabus 2025-26

Students are required to prepare well for the CBSE Board examination based on the prescribed 11th Class computer science syllabus. The board conducts the CBSE 11th computer science exam for 100 marks, out of which 70 marks will be allotted for theory and 30 for practicals. Continue reading the article to learn more about the CBSE Class 11 Computer Science syllabus 2025.

Unit-Wise CBSE 11th Class Computer Science Syllabus 2025-26

Students who will appear for the CBSE 11th exam can check out the following unit-wise syllabus for the computer science subject. The unit-wise syllabus will help students to prepare for the board examination. Candidates can check out the detailed CBSE 11th syllabus for the computer science subject below.

Unit 1: Computer Systems and Organisation

• Basic computer organisation: Introduction to Computer System, hardware, software, input device, output device, CPU, memory (primary, cache and secondary), units of memory (bit, byte, KB, MB, GB, TB, PB)

• Types of software: System software (Operating systems, system utilities, device drivers), programming tools and language translators (assembler, compiler, and interpreter), application software

• Operating System(OS): Functions of the operating system, OS user interface

• Boolean logic: NOT, AND, OR, NAND, NOR, XOR, truth tables and De Morgan’s laws, Logic circuits

• Number System: Binary, Octal, Decimal and Hexadecimal number systems; conversion between number systems

• Encoding Schemes: ASCII, ISCII, and Unicode (UTF8, UTF32)

Unit 2: Computational Thinking and Programming - I

• Introduction to Problem-solving: Steps for Problem-solving (Analyzing the problem, developing an algorithm, coding, testing, and debugging), representation of algorithms using flowchart and pseudocode, decomposition

• Familiarisation with the basics of Python programming: Introduction to Python, Features of Python, executing a simple “hello world" program, execution modes: interactive mode and script mode, Python character set, Python tokens( keyword, identifier, literal, operator, punctuator), variables, concept of l-value and r-value, use of comments

• Knowledge of data types: Number(integer, floating point, complex), boolean, sequence(string, list, tuple), None, Mapping(dictionary), mutable and immutable data types.

• Operators: arithmetic operators, relational operators, logical operators, assignment operators, augmented assignment operators, identity operators (is, is not), membership operators (in, not in)

• Expressions, statements, type conversion, and input/output: precedence of operators, expression, evaluation of an expression, type conversion (explicit and implicit conversion), accepting data as input from the console and displaying output.

• Errors- syntax errors, logical errors, and run-time errors

• Flow of Control: introduction, use of indentation, sequential flow, conditional and iterative flow

• Conditional statements: if, if-else, if-elif-else, flowcharts, simple programs: e.g., absolute value, sort 3 numbers and divisibility of a number.

• Iterative Statement: for loop, range(), while loop, flowcharts, break and continue statements, nested loops, suggested programs: generating pattern, summation of series, finding the factorial of a positive number, etc.

• Strings: Introduction, string operations (concatenation, repetition, membership and slicing), traversing a string using loops, built-in functions/methods–len(), capitalize(), title(), lower(), upper(), count(), find(), index(), endswith(), startswith(), isalnum(), isalpha(), isdigit(), islower(), isupper(), isspace(),lstrip(), rstrip(), strip(), replace(), join(), partition(), split()

• Lists: Introduction, indexing, list operations (concatenation, repetition, membership and slicing), traversing a list using loops, built-in functions/methods–len(), list(), append(), extend(), insert(), count(), index(), remove(), pop(), reverse(), sort(), sorted(), min(), max(), sum(); nested lists, suggested programs: finding the maximum, minimum, mean of numeric values stored in a list; linear search on list of numbers and counting the frequency of elements in a list.

• Tuples: Introduction, indexing, tuple operations (concatenation, repetition, membership and slicing); built-in functions/methods – len(), tuple(), count(), index(), sorted(), min(), max(), sum(); tuple assignment, nested tuple; suggested programs: finding the minimum, maximum, mean of values stored in a tuple; linear search on a tuple of numbers, counting the frequency of elements in a tuple.

• Dictionary: Introduction, accessing items in a dictionary using keys, mutability of a dictionary (adding a new term, modifying an existing item), traversing a dictionary, built-in functions/methods – len(), dict(), keys(), values(), items(), get(), update(), del, clear(), fromkeys(), copy(), pop(), popitem(), setdefault(), max(), min(), sorted(); Suggested programs: count the number of times a character appears in a given string using a dictionary, create a dictionary with names of employees, their salary and access them.

• Introduction to Python modules: Importing module using ‘import <module>’ and using from statement, importing math module (pi, e, sqrt(), ceil(), floor(), pow(), fabs(), sin(), cos(), tan()); random module (random(), randint(), randrange()), statistics module (mean(), median(), mode()).

Unit 3: Society, Law and Ethics

• Digital Footprints

• Digital Society and Netizen: net etiquettes, communication etiquettes, social media etiquettes

• Data Protection: Intellectual property rights (copyright, patent, trademark), violation of IPR (plagiarism, copyright infringement, trademark infringement), open source software and licensing (Creative Commons, GPL and Apache)

• Cyber Crime: definition, hacking, eavesdropping, phishing and fraudulent emails, ransomware, cyber trolls, cyber bullying

• Cyber safety: safely browsing the web, identity protection, and confidentiality

• Malware: viruses, trojans, adware

• E-waste management: proper disposal of used electronic gadgets.

• Information Technology Act (IT Act)

• Technology and society: Gender and disability issues while teaching and using computers

CBSE Class 11 Computer Science 2025-26 Syllabus: Marks Distribution

How Can I Download the CBSE Class 11 Computer Science Syllabus 2025-26 Online?

Students can check out the steps below to learn more about how to download the CBSE 11th syllabus for the computer science syllabus in online mode.

• Step 1: Visit the official website at cbse.gov.in.
  Step 2: Click on the “Academic Website” on the homepage.

• Step 3: Click on the “Curriculum” from the list of options mentioned in the menu bar.

• Step 4: Select the “Curriculum 2025-26” from the dropdown menu.

• Step 5: Click on the “Senior Secondary Curriculum” link for the Class 11 syllabus.

• Step 6: Select the “Academic Subjects” link to download the computer science syllabus PDF.

• Step 7: Download the CBSE 11th Computer Science syllabus for 2025-26 for future reference.

CBSE 11th Class Practical Computer Science Syllabus 2025-26

Note: With the help of the Computer Science subject, students will be able to develop their basic computational skills and a basic understanding of computer systems and operating systems. Students can understand the value of technology in the present world.