UGC NET Computer Science Syllabus 2026: Latest PDF & Exam Pattern

Manish
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The UGC NET (University Grants Commission National Eligibility Test) is a prestigious national-level examination in India, conducted by the National Testing Agency (NTA). It determines the eligibility of candidates for Assistant Professor roles and Junior Research Fellowship (JRF) in universities and colleges. This computer-based test (CBT) is held bi-annually in June and December. Candidates aiming for the Computer Science paper in the June 2026 cycle can find the comprehensive syllabus details below.

UGC NET Computer Science Syllabus 2026 

Aspirants preparing for the UGC NET in Computer Science require a structured and up-to-date syllabus to optimize their study time. In this article, we provide a detailed breakdown of the official UGC NET Syllabus, covering the core requirements for both Paper 1 and Paper 2 to ensure thorough preparation. 

UGC NET Computer Science Syllabus 2026
OrganizationNational Testing Agency
Exam Name  UGC NET 2026
SubjectComputer Science
Mode of ExamOnline-CBT (Computer Based Test)
Number of PapersPaper 1 & Paper 2 (Computer Science)
Types of QuestionsMultiple Choise Questions
Number of Questions
  • Paper 1- 50
  • Paper 2 (Computer Science)- 100
Marks
  • Paper 1- 100
  • Paper 2 (Computer Science)- 200
Negative Marking No 
Time Duration 3 Hours (Paper 1- 1 Hour & Paper2- 2 Hour
Official Website www.ugcnet.nta.nic.in

UGC NET Exam Date 2026: Official Schedule and Important Updates

UGC NET Computer Science Syllabus 2026

Review the comprehensive UGC NET Computer Science Syllabus 2026 topics outlined below to align your studies with the NTA curriculum:

Unit - 1: Discrete Structures and Optimization

Mathematical Logic: Propositional and Predicate Logic, Propositional Equivalences, Normal Forms, Predicates and Quantifiers, Nested Quantifiers, Rules of Inference.
Sets and Relations: Set Operations, Properties of Relations, Equivalence Relations, Partial Ordering.
Counting, Mathematical Induction and Discrete Probability: Combinatorics, Pigeonhole Principle, Permutations, Inclusion-Exclusion Principle, Mathematical Induction, Probability, Bayes’ Theorem.
Group Theory: Groups, Subgroups, Algebraic Structures, Isomorphism, Homomorphism, Rings, Integral Domains, Fields.
Graph Theory: Graph Types, Paths and Circuits, Eulerian/Hamiltonian Paths, Graph Coloring, Trees, Spanning Trees, Cut-Sets.
Boolean Algebra: Boolean Functions and Simplification Techniques.
Optimization: Linear Programming, Simplex Method, Integer Programming, Transportation/Assignment Models, PERT-CPM Project Scheduling.

Unit - 2: Computer System Architecture

Digital Logic: Logic Gates, Boolean Algebra, Combinational/Sequential Circuits, Multiplexers, Counters, Memory Units.
Data Representation: Number Systems, Complements, Fixed/Floating Point Representation, Error Detection, Computer Arithmetic.
Computer Organization: Register Transfer, Instruction Sets, CPU Architecture, Addressing Modes, RISC vs. CISC.
Pipeline and Vector Processing: Parallel Processing, Instruction Pipeline, Vector Processing.
Memory & I/O: Memory Hierarchy, Cache Memory, Virtual Memory, DMA, Interrupts, Multiprocessors, Cache Coherence. 

Unit - 3: Programming Languages and Computer Graphics

Language Design: Programming Paradigms, Syntax and Semantics, Translation Models.
Programming (C & C++): Data Types, Control Structures, Arrays, Pointers, OOP Concepts (Inheritance, Polymorphism, Templates), File Handling.
Web Programming: HTML, XML, Java, Servlets, Applets.
Computer Graphics: Line Drawing Algorithms, 2D/3D Transformations, Viewing Pipeline, Clipping, Bezier/B-Spline Curves, Rendering.

Unit – 4: Database Management Systems

DBMS: Data Models, Relational Algebra/Calculus, SQL, Normalization, Query Processing, Concurrency Control, Transaction Management.
Data Warehousing & Mining: OLAP/OLTP, Association Rules, Clustering, Classification, Support Vector Machines.
Big Data & NoSQL: Hadoop, Map-Reduce, Distributed File Systems, NoSQL architecture and query optimization.

Unit- 5: System Software and Operating System

System Software: Compilers, Linkers, Loaders.
Operating Systems: Processes, Threads, CPU Scheduling, Deadlocks, Memory Management, Paging, Segmentation, File Systems, I/O Subsystems, Security, Linux/Windows Internals, Distributed Systems.

Unit – 6: Software Engineering 

Software Engineering: Process Models (Agile, Scrum, Waterfall), Requirement Engineering (SRS), Design Patterns, Software Quality (ISO 9126), Estimation (COCOMO), Testing (Unit/Integration/Regression), Configuration Management.

Unit – 7: Data Structures and Algorithms 

Data Structures & Algorithms: Arrays, Linked Lists, Trees (AVL, B-Trees), Hashing, Sorting/Searching, Complexity Analysis, Greedy Algorithms, Dynamic Programming, Backtracking, Graph Algorithms, NP-Completeness, Parallel Algorithms.

Unit – 8: Theory of Computation and Compilers 

Theory of Computation: Finite Automata (DFA/NFA), Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Halting Problem, Computational Complexity, Compiler Construction (Parsing, Syntax-Directed Translation, Optimization).

Unit – 9: Data Communication and Computer Networks 

Networking: OSI & TCP/IP Models, Error Detection, Flow Control, Routing, IP Addressing, DNS, SMTP, FTP, Network Security (Cryptography/Firewalls), Mobile Tech (GSM/CDMA/Mobile IP), Cloud Computing & IoT.

Unit – 10: Artificial Intelligence (AI)

Artificial Intelligence: Heuristic Search, Knowledge Representation, Planning, NLP, Multi-Agent Systems, Fuzzy Logic, Genetic Algorithms, Artificial Neural Networks (ANN).

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