Syllabus
VIT MCA 2026
VIT MCA 2026 Syllabus
The syllabus for VITMEE 2026 is provided separately for M.Tech and MCA courses in PDF format, so that candidates can easily check and download it. Students aspiring for admission to the MCA program at VIT can refer to the complete and updated VIT MCA 2026 syllabus from this page to plan their preparation effectively.
VIT MCA 2026 Syllabus
(Based on 2025)
UPDATED ON: 23/09/2025
The VIT MCA 2026 Syllabus : If you are preparing for VIT MCA 2026, give highest priority to Computer Science subjects (Data Structures, DBMS, OS, C Programming, Networks), because they cover the majority of the exam questions. Mathematics and Probability are important for analytical ability, while English is a scoring area with fixed 20 questions.
| Subject / Section | Topics Covered |
|---|---|
| Algebra | Fundamental operations in Algebra, Expansion, Factorization, Quadratic Equations, Indices, Logarithms, Arithmetic, Geometric & Harmonic Progressions, Binomial Theorem, Permutations & Combinations |
| Calculus | Functions of single variable, Limit, Continuity & Differentiability, Mean Value Theorems, Indeterminate Forms & L’Hospital Rule, Maxima & Minima, Taylor Series, Fundamental & Mean Value Theorems of Integral Calculus, Total Derivatives, Lagrange Method of Multipliers |
| Differential Equations | Differential Equations of first order and their solutions, Linear Differential Equations with constant coefficients, Homogeneous Linear Differential Equations |
| Algorithms | Analysis, Asymptotic Notation (Time & Space Complexity), Worst & Average Case Analysis, Design Techniques: Greedy, Dynamic Programming, Divide-and-Conquer, Connected Components, Spanning Trees, Shortest Paths, Upper & Lower Bounds |
| Probability | Probability Theory, Dependent & Independent Events, Frequency Distributions, Measures of Dispersion, Skewness & Kurtosis, Random Variable & Distribution Functions, Mathematical Expectations, Binomial, Poisson, Normal Distributions |
| Algebra & Complex Analysis | Algebra of Matrices, Rank & Determinant, Linear Equations, Eigenvalues & Eigenvectors, Cayley-Hamilton Theorem, Linear Transformations, Canonical/Diagonal/Triangular Forms, Quadratic Forms, Analytic Functions, Cauchy-Riemann Equations, Contour Integral, Cauchy’s Theorem & Formula, Taylor & Laurent Series, Residues, Conformal Mappings, Mobius Transformations, Fourier Series |
| Calculus & Applications | Linear ODEs, Variation of Parameters, Sturm-Liouville Problem, PDEs (Classification of 2nd order, Higher order PDEs with constant coefficients), Separation of Variables (Laplace, Heat & Wave), Laplace/Fourier/Z-Transform |
| Numerical Methods | Roots of equations (Iteration, Newton-Raphson), Linear systems (Gauss Elimination, Gauss-Seidel), Numerical differentiation & integration, Numerical solutions of ODEs & PDEs |
| Statistics & Data Analysis | Sample space, Discrete probability, Bayes, Random variables (uni/multi), Expectation & moments, Marginal/conditional distributions, Characteristic functions, Standard distributions, Correlation & regression, Hypothesis testing, CIs, Chi-square, Non-parametric tests, Rank correlation, ANOVA |
| Data Structures | Arrays, Stacks, Queues, Linked Lists, Sorting/Searching, Trees & Graphs, Memory representation, BST, Traversals |
| Computer Networks | OSI & Internet models, Physical (signals, coding, sampling), Data Link (error control, Stop-and-Wait, Go-Back-N, SR), Network (addressing, routing), Presentation |
| Programming in C | Data types, Declarations, I/O, Operators, Control statements, Storage classes, Functions (incl. recursion), Arrays, Pointers, Strings, Structures, Files |
| DBMS | Architecture, Data models, ER, Normalization, Relational model, Storage & indexing, Query processing, SQL |
| Operating Systems | Processes/threads, PCB, CPU scheduling, Synchronization & deadlocks, Memory (paging, segmentation, VM), File org/descriptor, I/O |
| Computer Architecture | Boolean algebra, Arithmetic, FFs, Combinational/sequential circuits, Instruction formats & addressing modes, Peripherals, Memory org, Interrupts, Von Neumann, System bus, Instruction cycle |
| English Communication | (20 Questions) Grammar (S-V agreement, tenses, voices, articles, prepositions, conjunctions), Technical instructions, Memos/Minutes, Questionnaires, Proofreading, Transcoding |
| Section | Subjects Included | Approx. Weightage | Remarks |
|---|---|---|---|
| Computer Science | Data Structures, Algorithms, C, DBMS, OS, CN, CA | 60–70% (Majority) | ✅ Most questions come from here—prioritize this block |
| Mathematics | Algebra, Calculus, Diff. Eqns, Numerical Methods, Complex, PDEs | 20–25% | Problem-solving & applied focus |
| Statistics & Probability | Probability, Distributions, Correlation/Regression, Hypothesis, ANOVA | 10–15% | Direct formulas + applications |
| English Communication | Grammar, Comprehension, Writing, Proofreading | ~20 Questions (Fixed) | Scoring section |
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Commented Aug 29 , 2023
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