Programmes

Programmes

  • Ph. D. (Mathematics) :

    The award of the Ph.D. degree is in recognition of high academic achievements demonstrated by independent research and application of knowledge to the solution of technical and scientific problems. Creative and productive inquiry is the basic requirement underlying research work. The academic program leading to the degree involves fulfilling course credit requirements, residential requirements and a thesis giving a critical account of the research carried out in any of the following areas:

    • Applied group theoretic techniques, Discrete symmetries
    • Mathematical modeling and simulation, non-linear partial differential equations
    • Linear Algebra, Numerical Methods, Operations Research
    • Differential Geometry, Multivariable Calculus
    • Wave propagation, Wavelets and differential equations, Wavelets in image processing
    • Algebraic Coding Theory, Sequence Design, Distributed Source Coding
    • Fuzzy Information Measures, Decision Making, Pattern Recognition
  • M.Sc. Statistics :

    The Department of Mathematics will offer a 2-year M.Sc. programme in Statistics from July 2018. This programme blends relevant Statistics covering theoretical, computational and practical aspects. The core Statistics courses are aimed at building a strong foundation in the subject. In addition to the usual course work it also involves pursuing one-year project work during the second year. The program allows opting courses from a variety of electives together with the compulsory ones. The performance of students in each semester shall be continuously assessed through regular quizzes, class tests etc. besides usual three university examinations in a semester.

    The course designed provides a platform for research in upcoming fields of Statistics and it covers all the aspects of national examination of repute like GATE, NET etc.

    At the end of the programme, students shall acquire sound analytical and practical knowledge to formulate and solve challenging problems and shall be well prepared to take up jobs in academic institutes, research and development organizations or to pursue higher studies in Statistical/mathematical sciences.