Master of Computer Applications (MCA) is a three-year (six semesters) professional Master's Degree in computer science awarded in India. The course was designed to meet the growing demand for qualified professionals in the field of Information Technology. It is a postgraduate course that can be taken up after obtaining a Bachelor's Degree. The MCA programme is inclined more toward Application Development and thus has more emphasis on latest programming language and tools to develop better and faster applications.

The MCA program focuses on providing a sound theoretical background as well as good practical exposure to students in the relevant areas. It is intended to provide a modern, industry-oriented education in applied computer science. It aims at producing trained professionals who can successfully meet the demands of the information technology industry.

Typically, an MCA is a full-time degree course with duration of three years (six semesters). It covers various aspects of computational theory, programming, algorithm design and optimization, network and database management, mobile technologies, electronics, mathematics, probability, statistics, accounting, finance, etc. Some institutes provide a six years (eleven semesters and six months On Job Training) integrated MCA.

As the IT and the software industry are dynamic and fast growing, all the programmes are designed keeping in view the requirements of industry. The programmes aim at the understanding of the fundamentals of computing among the students so that they can compete in the present-day global situation.

Students are trained in the fields of Systems Designing, Application Software Development, Enterprise Resource Planning, Computer Networks, System Administration, Web Designing and Development, Database Administration, Parallel and Vector Processing, Data Mining and Warehousing, etc.

The MCA program prepares students to take up positions as system analysts,systems designers, Programmers and managers in any field related to information technology. The program, therefore, aims at imparting comprehensive knowledge with equal emphasis on theory and practice. The MCA students are encouraged to spend a full semester working in the industry in the institute giving them insight into the workings of the IT world. However, the course curriculum will have enough flexibility to enable a student to undertake advance studies in computer science later on.

The course is to be completed in 6 semesters. The first semester will comprise mostly of common subjects needed to build a base for the subjects to follow in pursuance of the objectives of the course. The2nd to 5th semesters will be mostly divided into core subjects and elective, which offer the student a choice to build expertise in some fields based on personal choice. The last semester will be devoted to project work testing the students application in the fields studied so far and provide valuable experience before stepping into the professional world of information technology.

These are based on facts, principles, formulae or laws of the discipline of the paper. The candidate is expected to be able to obtain the answer either from his/her memory of the subject or at most from a one-line computation.

Matrix operations, Definition and properties of determinats, Cofactors, Adjoint, Elementry Transformations, Rank and inverse of a Matrix, Matrix Polynomial, Characteristic Equations,Eigen Values, Latent Vectors, Caylay Hamilton theorem, Linear system of Equations

Polynomials and their charcteristics, Roots of an equation, Relations between Roots and Coefficients,Transformation of Equations, Symmetric function etc.

Groups, Cyclic groups, Subgroups, Normal Groups, Lagrange's theorem, Homomorphism, Isomorphism, Ring, Field, Vector Spaces, Linear Independence of Vectors, Basis, Dimension, Linear Transformation and diagonalisation of Matrices etc

Scalar and Vector quantities their representation, Addition and subtraction of vectors, Scalar and vector product of two vectors, Scalar triple product, Expansion formula of Vector triple product

Simple identities, trignometric equations, Properties of triangles, Solution of triangle, Height and distance, Inverse function

Real number system, Concept of neighborhood and limit points, Continuity and limits, Indeterminate forms, properties of continuous functions in closed interval, Differentiation, Successive Differentiation, Maxima Minima, Roll's theorem, Mean value theorems, Maclaurine's series and Taylor's series, Integration, definite integral, Evaluation of length, Area and volume of curves, Curvature, Asymptotes, Tracing of curves, Partial Differentiation, functions of two variables, definition of partial derivates, Total differentiation, Sequence, Sequence of real numbers, Convergent Sequences, Cauchy Sequences, Monotonic Sequences, Infinite series of positive terms and their different test of convergence,Alternating infinite series and Leibnitz's test of convergence, Absolute convergence, Conditional convergence, Uniform Convergence, Multiple integration, Change of order and change of variables, Application to evaluation of Area, Surface and volume.

Differential equations of first order and their solutions, Linear differential equations with constant coefficients, Homogenous linear differential equations, Orthogonal Trajectories, Singular solutions.

2-d:
Pair of straight lines, Transformation of coordinate system, Circles, Parabola, Ellipse and Hyperbola, Pair of tangents from a point, Chord of contact, Equation of chord in terms of middle point, Diameter of Conic, Conjugate diameter, Classification of curves of second degree.

3-d:
Introduction to lines and planes, Spheres, Quadric Cones and Cylinders.

Linear inequalities with two variables, Mathematical formulation of L.P.P, Basic concepts of graphical and Simplex method.

Interpolation, Extrapolation, Quadrature formula, Simpson's 1/3rd rule, Trapezoidal rule, Solution of non-linear equations using iterative methods, Numerical differentiation.

Classifications of Data and frequency distribution, Calculation of measures of Central tendency and measures of dispersion, Skewness and Kurtosis, Permutation and Combination, Probability, Random variables and distribution functions, Mathematical expectations and generating functions, Binomial, Poisson, Geometric, Exponential and Normal distributions, Curve fitting and principal of least square, Correlation and Regression,Index numbers and their importance,Simple Time Series analysis, Sampling and large sample tests,test of significance based on t, Chi-square and F distributions

**DATA REPRESENTATION** Representation of characters, integers, and fractions, binary and Hexadecimal representations

**BINARY ARITHMETIC Addition**, subtraction, division, multiplication, single arithmetic and two complement arithmetic, floating point representation of numbers, normalized floating point representation, Boolean Algebra, truth tables, Venn diagrams

**COMPUTER ARCHITECTURE**Block structure of computers, communication between processor and I / O devices, interrupts

**COMPUTER LANGUAGE**Assembly language and high level language, Multiprogramming and time sharing operating systems, Computer Programming in C

**MATHEMATICAL LOGIC**MATHEMATICAL LOGIC
Venn Diagrams in logic, Logical operators, Negations, Logical Equivalence and Tautology
FLOW CHART AND ALGORITHMS
BASICS OF DATA STRUCTURE

ANALYTICAL ABILITY AND LOGICAL REASONING

This part of the syllabi deals with enhancing candidates logical reasoning, quantitative reasoning and visuo-spatial Reasoning besides grooming the students to deal with practical logical situations in the best possible manner.

ELEMENTARY ENGLISH AWARENESS

Basic English Awareness of the students would be enriched to cater to the needs of a MCA Entrance Examination The institute heartily welcomes the feedback from its passed-out students pursuing MCA course form different Universities as well as its enrolled students also with many other multifarious topics to supplement its syllabus with broader unforeseen up to date topics. The institute vows to remain abreast of every additional information in the study curriculum and pledges to transport them inside the cerebral cavity of the students.

MCA Exam Eligibility

Bachelor's Degree of a recognized University in any discipline with at least 50% marks in aggregate and must also have passed Mathematics and English (core or elective or functional) at least at the Senior School Certificate Examination (Class XII) of the CBSE or any other Examination recognized as equivalent thereto.

**OR**
Bachelor's Degree in Engineering or Technology or a qualification recognized as equivalent thereto with at least 50% marks in aggregate.

**OR**
Bachelor's Degree in Engineering or Technology or a qualification recognized as equivalent thereto with at least 50% marks in aggregate.

As per MCA Entrance Notification 2014 of various universities.

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