Ph.D. Mathematics

Five Year Integrated M.Sc. Mathematics: (Offered under Ramanujan School of Mathematical Sciences) The five year integrated M.Sc. programme is offered in the three branches of Mathematics, Statistics and Computer Science, wherein, the students study equal proportion of Mathematics, Statistics and computer science courses during their first Three Years. In addition to the above set of courses, every student has to complete two compulsory courses in English, one in Environmental Science and the other in Public Administration A student has to complete a total of 120 credits in the first three years of the program. The students of the 4th and 5th years of the programme have to take the courses in the respective departments of Mathematics, Statistics and computer science. The intake of students for each subject is 25, making a total of 75 for the Integrated M.Sc. programme. M.Sc. Programme in Mathematics: (Department of Mathematics) : PhD in Mathematics

Focus Areas

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of the program

Algebra and Analysis, Graph Theory and Number Theory

Commutative Algebra, Combinatorial Representation Theory, Graph Colouring Problems, Number Theory and Special Functions

Graph Theory and Number Theory

Graph Colouring Problems, Number Theory and Special Functions

Hydrodynamic stability of Laminar Flows

Hydrodynamic stability analysis of Laminar Flows, homogeneous shear flows, Stratified flows, Channel flows

Fuzzy Mathematcial Analysis

The topics Fuzzy Mathematical Analysis - Fuzzy Relation Equation, Fuzzy Equivalence Relations, Fuzzy Control, Fuzzy Clustering. High Dimensional Data Analysis, Medical diagnosis, hand written character recognition, Machine intelligence, weather forecasting etc.

Who can prefer this Course

Eligibility

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MSc Mathematics/Statistics with a minimum of 55% marks.
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Curriculum
Courses chosen by the concerned guide for Ph.D. Coursework is from specialized papers (approved by the PG/School board) from the list of PG Minor/Soft Core Courses.

Current Curriculum

  • Course Content
  • Reference Book
  • Valuation Pattern

Previous Curriculum

  • Course Content
  • Reference Book
  • Valuation Pattern
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