Duration:
2 Years

Avg Fees:
₹8K - 80K PA

MA Mathematics is a two year postgraduate degree course in Mathematics and divided into four semesters. MA Mathematics course is a comprehensive study of Statistics, Actuarial Sciences, Mathematical Modelling, Cryptography, Computer Sciences etc. Subjects of this course differ according to the specializations and institutes.

MA in Mathematics course syllabus covers everything from history of Mathematics, Basics of Mathematics, Development of the Mathematics in Technology etc. The MA Mathematics course has both practical and theory papers. Syllabus of MA Mathematics semester-wise are given in table below:

Semester I |
Semester II |

Functional Analysis - I Real Analysis - I |
Complex Analysis - II Real Analysis - II |

Linear Algebra - I Modern Algebra - I |
Partial Differential Equations Differential Geometry |

Elements of General Topology Complex Analysis - I |
Operations Research - II Principle of Mechanics - II |

Ordinary Differential Equations & Special Functions Operations Research - I |
Computer Programming Continuum Mechanics |

Principles of Mechanics - I Numerical Analysis |
Computer Aided Numerical Practical |

Semester III |
Semester IV |

Modern Algebra - II General Topology - I |
Modern Algebra - III |

Graph Theory Set Theory - I |
General Topology - II Functional Analysis - III |

Set Theory - II Mathematical Logic Functional Analysis - II |
Special Paper - III |

Special Paper - I |
Special Paper - IV |

Special Paper - II |
Term Paper |

MA in Mathematics Syllabus offers theory of maths and practical use of maths. Master of Arts Mathematics subjects are Elements of General Topology Complex Analysis, Computer Aided Numerical Practical, Partial Differential Equations Differential Geometry etc. The course curriculum includes both elective and core subjects. Some of the core subjects are:

- Computer Aided Numerical Practical
- Computer Programming Continuum Mechanics
- Partial Differential Equations Differential Geometry
- Mathematical Logic Functional Analysis
- Graph Theory Set Theory

The MA Mathematics course includes both theoretical papers and practical labs. MA Mathematics is curated in two years and divided into four semesters. The course structure is made in such a way that classroom teaching and lab analytics are included. The course structure is like:

- Core subjects
- Elective subjects
- Theory
- Practicals
- Projects
- Internships

The MA Mathematics course has different teaching methodology and techniques. Along with classroom sessions, lab sessions are included. Students who are very passionate about Mathematics and want to build their career in the mathematics field. Listed below are some teaching techniques adopted in this course:

- Classroom teaching
- Video presentation
- Conceptualized teaching
- Presentations
- Projects

Concept of giving projects to the students is to make them learn by themselves. Projects should be completed within the fourth semester. Some of the popular MA Mathematics projects topics are:

- Mathematical theory of diffraction
- Combustion instabilities
- Mathematical Physiology and Transport in Complex Media
- Efficient sampling from probability distributions arising from Bayesian inverse problems in applied mathematics

Books give more knowledge to the people. As students read books to get more and deeper knowledge about the topic. Books for MA Mathematics differ according to the specializations and institutes. Some the MA Mathematics books are listed below:

Name of the books |
Authors |

Topology by Dr. H.K. Pathak & J.P. Chauhan | For M.A., M.Sc. Mathematics students of various universities from all over India |
Dr. H.K. Pathak & J.P. Chauhan |

Complex Analysis by Dr. H.K. Pathak | For M.Sc. Mathematics Students of all India Universities |
Dr. H.K. Pathak |

Real Analysis by Dr. H.K. Pathak | Fourth Edition | Honors, M.A.,M.Sc. Mathematics |
Dr. H.K. Pathak |

Advanced Discrete Mathematics by Dr. H.K. Pathak & J.P. Chauhan | For Honors, M.A., M.Sc. Mathematics Students of all India Universities |
Dr. H.K. Pathak & J.P. Chauhan |

Probabilistic Methods for Algorithmic Discrete Mathematics: 16 (Algorithms and Combinatorics) |
Michel Habib |

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