A CUET PG Data Science mock test from Toppersexam.com is a practice paper based on the latest exam pattern and syllabus, designed to help you assess your preparation level.
New Vacancy 2026
CUET PG Data Science 2026 Notification, Online Form & Exam Date
CUET PG Data Science Vacancy 2026 provides a golden opportunity for aspirants seeking stable government jobs. Interested candidates can apply online for the posts after verifying the official eligibility criteria, age limit, and educational qualifications. Ensure you track the application deadlines and stay updated with the latest CUET PG Data Science 2026 recruitment news for a smooth registration process.
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To crack the CUET PG Data Science 2026 exam, understanding the detailed syllabus and exam pattern is mandatory. Aspirants should focus on strategic planning and rigorous time management for each selection phase. Boosting your speed through online mock tests and regular practice is the key to securing a high score in this competitive recruitment. For premium study material and practice sets, follow the expert curated resources on toppersexam.com.
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CUET PG Data Science Syllabus 2027, Exam Pattern
CUET PG Data Science Syllabus 2027, Exam Pattern, Exam Date 2027
Detail Information about CUET PG has published notification 2027 for this exam of Data Science, Artificial Intelligence, Cyber Security etc. (MTQP04) vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Exam with Latest Update Exam Pattern and the Exam
CUET PG Syllabus 2027 - Overview
| Full Exam Name | Central Universities Entrance Test (CUET) |
| Conducting Body | National Testing Agency (NTA) |
| Frequency of Conduct | Once a year |
| Exam Level | University Level |
| Courses Offered | Postgraduate |
| Mode of Application | Online |
| Mode of Exam | Online (Computer-based Test) |
| Type of questions | Multiple-choice questions |
| Category | Syllabus and Exam Pattern |
| Official website | https://cuet.nta.nic.in/ |
CUET PG Data Science Syllabus 2027
Data Science, Artificial Intelligence, Cyber Security etc. (MTQP04) :
2. Theory of Computations: Finite Automata and Regular Expressions, on –determinism and NFA, Properties of Regular Sets, Context free grammar: Chomsky Normal Form (CNF), Griebach Normal Form (GNF), Push-down automata, Moore and mealy Machines, Turing machines.
3. Digital Logic: Number representations and computer arithmetic (Fixed and floating point), Logic functions, Minimizations, Design and synthesis of combinational and sequential circuits, A/D AND D/A CONVERTERS.
4. Computer Organization and Architecture: Machine instructions and addressing modes, ALU and data –path, CPU control design, memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and main memory, Secondary storage.
5. Microprocessors and interfacing: Instructions sets, addressing modes, Memory interfacing, interfacing peripheral devices, Interrupts. Microprocessor architecture, Instructions set andProgramming (8085), Microprocessor applications, DMA, Interrupt and Timer.
6. Programming and Data Structures: Programming in C; Functions, Recursion, Parameter passing, and Definition of data structure. Arrays, Stacks, Queues linked lists, trees, priority queues and heaps, Binary search trees.
7. Algorithm: Algorithm concepts, Analyzing and design, asymptotic notations and their properties, Worst and average case analysis; Design: Greedy approach, Dynamic programming, Divide and conquer; Tree and graph transversals, Spanning trees, shortest paths: Hashing, Sorting Searching.
8. Operating System: Main functions of operating systems, Processes, Threads, Interprocess communication, concurrency, Synchronization, Deadlock, CPU scheduling, I/O scheduling, Resource scheduling. Deadlock and scheduling algorithms, banker’s algorithm for deadlock handling. Memory management and virtual memory. File Systems, I/O systems, DOS, UNIX and Windows.
9. Computer Networks: OSI Model, TCP/IP model, LAN technologies (Ethernet,Token ring), Transmission media – twisted pair, coaxial cables fiber–optic cables, Flow and error control techniques, Routing algorithms, Congestion control, IP (v4), Application layer protocols (icmp , dns, smtp, pop, ftp, http);Sliding window protocols; Internetworking: Switch /Hub, Bridge, Router, Gateways, Concatenated virtual circuits, Firewalls: Network Security; Cryptography- public key, secret key. Domain Name System (DNS)-Electronic Mail and World Wide Web (WWW).
10. Artificial Intelligence: Basic concepts of AI; Intelligent agents; solving problems by searching – Uniformed search, Informed search; Logical agents; first order logic; knowledge representations.
11. Cryptography & Network security: Computer & network security concepts, Classical encryption techniques: Symmetric cipher model, Caesar Cipher, Playfair Cipher, Hill Cipher.
12. Data Science: Basic concepts; data, types of data–structured, unstructured; data representation, machine learning algorithms-supervised, unsupervised, reinforcement, clustering, classification and regression problems, data preprocessing, normalization, smoothing, visualization.
1. Set Theory & Algebra: Sets; Relations; Functions; Compositions of functions and relations, Group; Partial Orders; Boolean Algebra.
2. Theory of Computations: Finite Automata and Regular Expressions, on –determinism and NFA, Properties of Regular Sets, Context free grammar: Chomsky Normal Form (CNF), Griebach Normal Form (GNF), Push-down automata, Moore and mealy Machines, Turing machines.
3. Digital Logic: Number representations and computer arithmetic (Fixed and floating point), Logic functions, Minimizations, Design and synthesis of combinational and sequential circuits, A/D AND D/A CONVERTERS.
4. Computer Organization and Architecture: Machine instructions and addressing modes, ALU and data –path, CPU control design, memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and main memory, Secondary storage.
5. Microprocessors and interfacing: Instructions sets, addressing modes, Memory interfacing, interfacing peripheral devices, Interrupts. Microprocessor architecture, Instructions set andProgramming (8085), Microprocessor applications, DMA, Interrupt and Timer.
6. Programming and Data Structures: Programming in C; Functions, Recursion, Parameter passing, and Definition of data structure. Arrays, Stacks, Queues linked lists, trees, priority queues and heaps, Binary search trees.
7. Algorithm: Algorithm concepts, Analyzing and design, asymptotic notations and their properties, Worst and average case analysis; Design: Greedy approach, Dynamic programming, Divide and conquer; Tree and graph transversals, Spanning trees, shortest paths: Hashing, Sorting Searching.
8. Operating System: Main functions of operating systems, Processes, Threads, Interprocess communication, concurrency, Synchronization, Deadlock, CPU scheduling, I/O scheduling, Resource scheduling. Deadlock and scheduling algorithms, banker’s algorithm for deadlock handling. Memory management and virtual memory. File Systems, I/O systems, DOS, UNIX and Windows.
9. Computer Networks: OSI Model, TCP/IP model, LAN technologies (Ethernet,Token ring), Transmission media – twisted pair, coaxial cables fiber–optic cables, Flow and error control techniques, Routing algorithms, Congestion control, IP (v4), Application layer protocols (icmp , dns, smtp, pop, ftp, http);Sliding window protocols; Internetworking: Switch /Hub, Bridge, Router, Gateways, Concatenated virtual circuits, Firewalls: Network Security; Cryptography- public key, secret key. Domain Name System (DNS)-Electronic Mail and World Wide Web (WWW).
10. Artificial Intelligence: Basic concepts of AI; Intelligent agents; solving problems by searching – Uniformed search, Informed search; Logical agents; first order logic; knowledge representations.
11. Cryptography & Network security: Computer & network security concepts, Classical encryption techniques: Symmetric cipher model, Caesar Cipher, Playfair Cipher, Hill Cipher.
12. Data Science: Basic concepts; data, types of data–structured, unstructured; data representation, machine learning algorithms-supervised, unsupervised, reinforcement, clustering, classification and regression problems, data preprocessing, normalization, smoothing, visualization.
CUET PG Data Science Exam Pattern 2027
Data Science, Artificial Intelligence, Cyber Security etc. (MTQP04)
Medium (English)
Duration : 90 Minutes
Negative Marking : 01
Correct Answer : 4 marks will be awarded for each correct response.
| S.No. | Subject | No.of Question | Marks |
| 1. | Data Science, Artificial Intelligence, Cyber Security etc. | 75 | 300 |
| Total | 75 | 300 |
CUET PG Exam Date 2027 : March to April 2027 (Tentative)
Starting Date of Application Form : January 2027
Last Date of Application Form : February 2027
CUET PG Data Science Exam Free Online Test Series
Crack CUET PG Data Science Mock Test 2027 with the help of Online Test Series or Free Mock Test. Every Question Paper in CUET PG Data Science, Artificial Intelligence, Cyber Security etc. (MTQP04) Exam has a designated weightage so do not miss out any Paper. Practice for CUET PG Data Science (MTQP04) Mock Test and check your test scores.
CUET PG Data Science Exam Free Online Question Bank
CUET PG Data Science question answer with solutions are available in Hindi & English. Join MCQ, Important Questions, Question Bank, questions and answers for Free CUET PG Data Science exam preparation.
Combo Offers
CUET PG Data Science Combo Packages
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Combo - 1 (English)
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Combo Package
CUET PG Data Science
Combo - 2 (English)
1. Online Mock Test Series in English = 20 Tests.
2. Question Bank - 2100 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
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Combo Package
CUET PG Data Science
Combo - 3 (English)
1. Online Mock Test Series in English = 30 Tests.
2. Question Bank - 2100 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
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3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
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Combo Package
CUET PG Data Science
Combo - 4 (English)
1. Online Mock Test Series in English = 30 Tests.
2. Question Bank - 2100 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 2100 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
₹711₹781
Combo Package
CUET PG Data Science
Combo - 5 (English)
1. Online Mock Test Series in English = 30 Tests.
2. Question Bank - 2100 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of CUET PG Data Science (1000 MCQ) PDF Format in English.
5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
6. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 2100 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of CUET PG Data Science (1000 MCQ) PDF Format in English.
5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
6. 1000 (+) GK MCQ with Answer PDF Book in English.
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FAQs
CUET Pg Data Science 2027 Free Mock Test Frequently Asked Questions (FAQ's)
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