Programme Overview

The Doctor of Philosophy (Ph.D.) in Mathematics is a rigorous and research-intensive program aimed at advancing knowledge and fostering innovation in both pure and applied mathematical sciences. The program is designed for highly motivated individuals seeking to contribute original research to the field and engage with complex mathematical problems at the highest level. Doctoral candidates undertake advanced coursework in specialized areas such as Algebra, Analysis, Topology, Geometry, Differential Equations, Mathematical Modelling, Number Theory, and Computational Mathematics. The program emphasizes independent research under the guidance of experienced faculty, culminating in a doctoral dissertation that contributes significantly to mathematical theory or applications. Through seminars, workshops, and scholarly publications, students are encouraged to participate in academic discourse and collaborate across disciplines. The Ph.D. in Mathematics prepares scholars for careers in academia, research institutions, high-level industry roles, and positions that demand advanced quantitative and analytical expertise.

  • 3 Years

    Duration of programme

  • Doctoral

    Level of Study

Key Highlights

Advanced Research Focus
Expert Supervision
Interdisciplinary Opportunities
Scholarly Engagement
Publication and Dissemination

How will you benefit

Gain expertise in advanced mathematical theories and research methodologies.
Contribute original research that advances knowledge in pure and applied mathematics.
Enhance critical thinking, analytical, and problem-solving skills at the highest academic level.
Build strong career prospects in academia, research institutions, and industry.

What will you study

Advanced Mathematical Theories: Deep exploration of areas like algebra, analysis, topology, geometry, and applied mathematics.

Research Methodologies: Training in rigorous research techniques, mathematical modeling, and problem-solving approaches.

Specialized Topics: Focus on a chosen area of interest such as functional analysis, differential equations, number theory, or computational mathematics.

Scholarly Communication: Developing skills in writing research papers, presenting findings, and academic collaboration.

CAREERS AND EMPLOYABILITY

Academic Careers
Research Institutions
Data Science and Analytics
Finance and Banking

ELIGIBILITY CRITERIA

M.sc in relevant discipline

SC/ST-45% and Gen/OBC-60%

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