Courses: M.C.A. and M.Sc. (Computer Science)

Eligibility Criteria for Pune University MCA 2009:

For MCA Programs

• Any Science Graduate with Mathematics at 10+2 Level.

For MS.c Programs

• Bachelors Degree in Computer Science.

• The admissions are and will be done in accordance with the Ordinance No. 181 (Ordinance for admissions of students to the Post-Graduate courses in the University Departments/ Institutions)

Pune University MCA Entrance Exam 2009 Application Form:

• For General Category Student: Rs. 575/-

• For Reserved Category Student (In Maharashtra): Rs. 475/-

• Please pay the Fees through the Demand Draft of any Nationalized Bank that is to be drawn in favour of 'The Registrar, University of Pune', payable at Pune.

Note: Reservation is applicable only for Maharashtra domicile SC, ST, DT/NT, OBC categories as per Goverment of Maharashtra G.R. and 3% for PH. Non-creamy layer certificate is necessary for OBC, DT/NT category candidates at the time of final admissions.

Pune University MCA 2009 Online Application Form:

http://www.unipune.ernet.in/doc/admissions.html

Pune University MCA 2009 Examination Centers:

• In Maharashtra State: Ahmednagar, Aurangabad, Mumbai, Pune, Jalgaon, Nasik, Kolhapur, Nagpur

• Outside Maharashtra State : Delhi, Allahabad, Hyderabad

Pune University MCA Entrance Syllabus 2009:

Pune University MCA Entrance Exam consists of multiple choice (objective type) questions, and covers the areas of Mathematics, general aptitude and English language.

Mathematics Syllabus:

• Set theory: Set operations, relations, functions.
• Propositional logic: Formulation, deduction, evaluation, puzzles.
• Linear Algebra: Solution of a system of linear equations. Determinant and inverse of a matrix, basic properties of matrices.
• Co-ordinate Geometry and Conic Sections: Equations of lines and planes, vector products; definitions and properties of conic sections.
• Trigonometry: Identities, computation of heights and lengths.
• Differential Calculus: Total and partial differentiation, limit of a function.
• Integral Calculus: Definite and indefinite integrals, solution of differential equations, computation of areas and volumes.
• Series and sequences: sum, mean, convergence, limit.
• Real and complex numbers: surds, solution of equations on complex domain.
• Polynomials: solution of quadratic equations, properties of roots of polynomials with real coefficients, binomial expansion, Taylor series.
• Permutations and Combinations.
• Elementary Probability Theory: Computing probability from combinatorial reasoning, conditional probability.