Well-known for its high standards in teaching and research and faculty of eminent scholars, The University of Delhi is one of the premier university of the country. It provides with MCA programme in the Department of Computer Science under the Faculty of Mathematical Sciences.
The University of Delhi conducts an entrance exam for admission to the MCA. The duration of the course is three academic years consisting of six semesters.

Eligibility requirements
For admission to the MCA programme of Delhi University candidates need to have an Bachelor's Degree (10+2+3 Scheme)/Master's Degree with 60% marks having one paper in mathematics and another in Computer Science/Statistics/ Operational research/Mathematics

The MCA Entrance Examination
The Admission Test Syllabi comprises of two objective type tests. With each test carrying 200 marks, each question is of four marks. These are
Test I Quantitative and Mathematical Ability Test 75 min.
Test II Deductive and Logical Ability Test 60 min.
The outlines of the syllabus for the admission tests are as follows:

Test 1: Quantitative and Mathematical Ability Test constitutes:
Algebra- Sets, groups, fields, vector spaces, complex numbers, Demoivre's theorem and its simple applications, matrices, determinants, relation between roots and co-efficient of an equation, Scalar and Vector products, triple products.
Calculus - Real number system, continuity and limits, differentiation, integration, definite integral, evaluation of lengths and area of curves, curvature, partial differentiation, differential equations of first order and their solutions, linear differential equations with constant coefficients, homogeneous linear differential equations.
Geometry - Two-dimensions : straight lines, circles, parabola, hyperbola and ellipse, classification of curves of second type.
Three-dimensions - spheres, quadratic cones and cylinders.
Real Analysis - Sequences, sequences of real numbers, convergent sequences, Cauchy sequences, monotonic sequences, bounds, infinite series and their different tests of convergence, absolute convergence, uniform convergence.Properties of continuous functions, Rolle's theorem, mean value theorem, Taylor's and Maclaurin's series, maxima and minima, indeterminate forms.
Statistics and Linear Programming - Frequency distributions and measures of dispersion, skewness and kurtosis, permutations and combinations, probability, random variables and distribution functions, mathematical expectation and generating functions, binomial, Poisson, normal distribution curve fitting and principle of least squares, correlation and regression, sampling and large sample test, test of significance based in t, c2 and F distributions. Formulation of simple linear programming problems, basic concepts of graphical and simplex methods.

Test 2: Deductive and Logical Ability Test constitutes:
Interpretation of data, problem solving, flow charts and algorithms, number system, binary, octal, hexadecimal. Truth values, logical operations, logic functions and their evaluation.