| Department of Mathematics

M.Sc. in Mathematics

Admission Requirements

Eligibility: A B.A./B.Sc./B.S./B.Tech. Degree in Mathematics/Physics/Science/ Engineering or similar disciplines with overall marks of at least 50% (or equivalent grade). Final year students can apply on the basis of their earlier marks. Please write to us in case you have a different background or are uncertain about your eligibility for any reason.

  1. Click on Apply Now to apply online
  2. Print and mail the completed form and supporting documents to the Department of Mathematics
  3. Shortlisted candidates will be invited for a written test at SNU

Application Process

  1. Apply online at www.snu.edu.in.
  2. After online submission and payment of application fee, print the completed form and send by speed post to the following address:

    Ms Lakshmi Arya
    (EA, Department of Mathematics)
    A109, School of Natural Sciences
    Shiv Nadar University
    NH-91, Tehsil Dadri
    District Gautam Buddha Nagar, UP 201314, India

    The printed form should be accompanied by the following documents: (a) At least one sealed reference letter in support of the application (b) Demand Draft for application fee (If online fee payment mode is not used)

  3.   Shortlisted candidates will be invited for a written test at SNU.
  4. The written test will consist of both multiple-choice and descriptive questions, with an element of choice. The questions will range over the following topics:
    • Real Analysis: Elementary set theory, real number system, sequences and series, monotone sequences, convergence, Cauchy sequences and completeness, Bolzano-Weierstrass theorem, continuity, uniform continuity, differentiability, Taylor expansions, mean value theorems, sequences and series of functions, uniform convergence, power series, Riemann integration, and Fundamental Theorem of Calculus.
    • Linear Algebra: Vector spaces, subspaces, basis, dimension, direct sum, matrices, determinants, linear transformations, rank, nullity, systems of linear equations, eigenvalues and eigenvectors.
    • Algebra: Groups, Lagrange’s theorem, normal subgroups, cyclic groups, homomorphism and isomorphism of groups.
    • Ordinary Differential Equations: General and particular solutions of a differential equation, formation of differential equations, first-order first-degree differential equations and their classification, separation of variables, integrating factors and linear equations.
    • Probability and Statistics: Permutations and combinations, principle of inclusion and exclusion, mathematical induction, combinatorial probability, independent events, conditional probability, Bayes’ theorem, binomial, Poisson, normal distributions, mean and variance, Chebyshev’s inequality, Stirling’s approximation, joint distribution, laws of large numbers, central limit theorem.