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Ph.D. in Applied Mathematics

Overview

The programme enables students to learn new methods in research to predict the observed, and unobserved phenomena and find solutions to real-world problems. In today’s world, new challenges and problems arising in all fields require solutions that are precise through numerical methods that involve differential equations, statistics, numerical methods, and analysis. With a close-knit community of learners working together diligently towards impactful research work, students get an opportunity to create new frontiers of knowledge in the fields of mathematics through quality research and a world-class framework.

Commence of the course


Course Duration


Mode of Study

Eligibility


Master’s Degree in Mathematics or Applied Mathematics or Statistics or Biostatistics from any recognized University.


Areas of Research

  • General Topology
  • Fractional Calculus
  • Graph Theory
  • Applied Statistics
  • Fluid Dynamics
  • Numerical Methods
  • Distribution Theory
  • Machine Learning
  • Differential Equations
  • Combinatorics
  • Stochastic Processes
  • Artificial Intelligence
  • Nonlinear Dynamics
  • Discrete Mathematics
  • Reliability
  • Big Data Analytics

Salient Features

Scholarships for Full-Time Research Scholars with Contingency grant.

Monetary support for attending national and international conferences for Full-Time Research Scholars.

University Journals for the publication of Research Articles.

Periodic similarity check of research papers and chapters.

Experts to guide and supervise research studies.

Intense coursework prior to the commencement of the Research Study.

Facility for Transfer of Research Scholars from other Universities or Research Institutions to Alliance University and vice-versa.

Specific provisions and relaxations with respect to women Research Scholars and specially abled persons.

Extensive interaction with luminaries.

Course Work

Courses:
  • Research Methodology – Part A (General)
  • Linear Algebra
  • Specialisation-specific Paper
  • Research Methodology – Part B (Specialisation-specific)
  • Real Analysis/Measuring Theory
  • Specialisation-specific Assignment

Course Description

Sem I:
  • Research Methodology Part A: General (Common subject): This course introduces the students to the importance of systematic approach to research, research ethics, types of research design, research methods, data collection methods, data analysis techniques, and research report writing.
  • Linear algebra (Compulsory subject): This course introduces the students to the concepts and techniques of linear algebra, vector space theory, Banach space theory, and Lp space theory. These techniques are widely used in almost all fields of mathematics and statistics and are therefore important for developing a foundation for applied mathematics research.
Sem II:
  • Research Methodology Part B: Specialisation-specific (Compulsory subject): General (Common subject): This course introduces the students to research methods in their domain of specialisation.
  • Real analysis/Measure theory (Compulsory Subject): This course introduces the students to the concepts and techniques of real analysis, topological theory, measure theory, and differential equations. These techniques are widely used in almost all fields of mathematics and statistics and are therefore important for developing a foundation for applied mathematics research.

Specialisation-specific Assignment:The Specialisation-specific Research Methodology course contents, the Specialisation-specific Paper, and the Specialisation-specific Assignment are to be determined by the candidate’s Research Supervisor in consultation with the Research Advisory Committee.