Ph.D. PROGRAMME IN MATHEMATICS offers an exciting and unique opportunity to students for pursuing research in the following areas:

- Pure Mathematics
- Applied Mathematics & Scientific Computing
- Probability & Statistics
- Theoretical Computer Science

Under this programme students undergo a substantial amount of relevant course work consisting of advance topics in Aglebra, Analysis, Topology, Numerical Analysis, Solid & Fluid Mechanics and Statistics, followed by research work under the supervision of an Advisor, who is decided by the Department, taking into account the aptitude, the needs and the preferences of the student.

- Nurtures creative and analytical abilities of scholars.
- Provides flexible approach for self-study and seminar courses in different areas.
- Encourages interdisciplinary research for bridging the gap between theoretical and applied areas.
- Cultivates communication skills through seminars and tutorials.
- Offers opportunity to engage in developmental research work.

The Department of Mathematics is well recognised for teaching and research. It has a large faculty with research interests covering a wide range of fields:

- Algebra, Combinatorics, Topology and Geometry
- Functional Analysis, Harmonic Analysis, Partial Differential Equations and Systems & Control.
- Numerical Analysis & Scientific Computing.
- Statistical Inference, Applied Probability, Statistical Quality Control and Biostatistics.
- Algorithms & Complexity and Combinatorial Optimization,

Collabortive research with other Science and Engineering Departments of the Institute is encouraged. Faculty members undertake projects sponsored by organizations such as National Board for Higher Mathematics, Indian National Science Academy, Board of Research in Nuclear Science, Council of Scientific & Industrial Research, Department of Science and Technology, Department of Bio-Technology and Indian Council of Medical Research etc. A strong group of Industrial Mathematics has evolved in the Department for providing Industry-Academic linkage.

The graduates of this Department have been placed in various academic institutions - IITs, IISc and several universities in India and abroad. The Training and Placement Office of the Institute arranges Campus Interviews for the students with prospective employer in Industry and R & D Organisations with strong inputs from the Department. In recent years our students have been hired by prestigious organisations like TCS, ISRO, Infotech, TRDDC, CDAC, ORG etc.

The Institute offers Teaching Assistantships requiring eight hours of work per week. Students can also be supported by scholarships / fellowships of other organizations such as National Board for Higher Mathematics, Council of Scientific & Industrial Research, University Grants Commission, Department of Science & Technology. Admissions take pace twice a year in June and in December on the basis of a test and an interview. The candidates should have obtained first class at the Masters degree in Mathematics/Statistics/Computer Science and must have a valid GATE score or an award of NBHM/CSIR/UGC Research Fellowship.

- 1. Each student in the Ph.D. program of the Department of Mathematics is required to take Qualifying Examinations (QE) to be administered by the DPGC, Department of Mathematics.
- 2. The QE shall consist of written examinations on seven subjects each of 100 marks, namely, (1) Algebra, (2) Analysis, (3) Geometry and Topology, (4) Differential Equations, (5) Probability, (6) Statistics and (7) Combinatorics and Theoretical Computer Science. A PhD candidate must score a minimum of 60 in at least two of these subjects to fulfil the QE requirements.
- 3. The Q.E. will be conducted during 1-15 July and 15-31 December each year and the results will be declared by 21st July and 7th January, respectively.
- 4. The student needs to pass the QE in two out of seven subjects (scoring a minimum of 60 marks out of 100 marks in each of the subjects) within three semesters of their joining the Ph.D. program. There are NO further restrictions on the number of attempts allowed to complete the QE requirement.
- 5. A student may choose a Ph.D. thesis advisor after the successful fulfilment of the coursework and QE requirement. Until that time, the Head, Department of Mathematics shall be the guide for all official purposes.
- 6. In case a student fails the QE requirement, then he/she may be offered the option of transferring to M.Phil. program by continuing for about a semester so as to complete the requirements for the degree of M.Phil.degree.
- 7. Notwithstanding the QE requirement, the course requirement stipulated by the Academic Office for the Ph.D. (or the M.Phil., as the case may be) program will have to be satisfied. The Ph.D. students are required to complete the coursework with a minimum of 34 credits and a minimum 6.0 CPI. However, the students may register for up to two 500-level M.Sc. courses (for example, those that are relevant for the topic of qualifiers) to partially satisfy the credit requirement.

Syllabus for qualifying examinations can be found **here.**

The following courses are likely to be offered in each of the corresponding semesters.

Course Code | Name of the Course | L | T | P | C |
---|---|---|---|---|---|

MA 811 | Algebra I | 3 | 0 | 0 | 6 |

MA 813 | Measure Theory | 3 | 0 | 0 | 6 |

MA 815 | Differential Topology | 3 | 0 | 0 | 6 |

MA 817 | Partial Differential Equations I | 3 | 0 | 0 | 6 |

MA 833 | Weak Convergence and Martingale Theory | 3 | 0 | 0 | 6 |

MA 839 | Advanced Commutative Algebra | 3 | 0 | 0 | 6 |

MA 861 | Combinatorics-I | 3 | 0 | 0 | 6 |

MA 863 | Theoretical Statistics I | 3 | 0 | 0 | 6 |

MA 867 | Statistical Modelling- I | 3 | 0 | 0 | 6 |

Course Code | Name of the Course | L | T | P | C |
---|---|---|---|---|---|

MA 812 | Algebra II | 3 | 0 | 0 | 6 |

MA 814 | Complex Analysis | 3 | 0 | 0 | 6 |

MA 816 | Algebraic Topology | 3 | 0 | 0 | 6 |

MA 818 | Partial Differential Equations II | 3 | 0 | 0 | 6 |

MA 820 | Stochastic Processes | 3 | 0 | 0 | 6 |

MA 823 | Probability I | 3 | 0 | 0 | 6 |

MA 824 | Functional Analysis | 3 | 0 | 0 | 6 |

MA 862 | Combinatorics-II | 3 | 0 | 0 | 6 |

1. The credit requirements for students having M.Sc. or equivalent qualification shall be 34 to 46 credits.

2. Credits acquired through PG level courses shall be 24 or more.

3. Students may earn upto a maximum of 8 credits through seminars which should be spread over two semesters.

4. Each student must credit at least 3 of the 13 courses MA 813 – 822 & MA 824.

PhD students are also required to take two courses on communication skills, viz, HS791 (Communication Skills I) offered by the HSS department and MA792 (Communication Skills II) offered by the Mathematics department

a) These courses are compulsory for all Ph.D. students.

b) Ph.D. students are normally required to clear the Communication skills course within the first two semesters.

c) These courses are an addition to the minimum course credit requirement prescribed by the DPGCs/IDPCs.

d) Students having a qualifying degree from IIT who have cleared the ‘Communication Skills’ course during their M.Tech. Programme are exempted from this requirement.

In addition to the above courses, some or all of the following courses may be offered subject to sufficient demand from the students and availability of faculty.

Course Code | Name of the Course | L | T | P | C |
---|---|---|---|---|---|

MA 841 | Topics in Algebra I | 3 | 0 | 0 | 6 |

MA 843 | Topics in Analysis I | 3 | 0 | 0 | 6 |

MA 845 | Topics in Combinatorics I | 3 | 0 | 0 | 6 |

MA 847 | Topics in Geometry I | 3 | 0 | 0 | 6 |

MA 849 | Topics in Topology I | 3 | 0 | 0 | 6 |

MA 851 | Topics in Number Theory I | 3 | 0 | 0 | 6 |

MA 853 | Topics in Differential Equations I | 3 | 0 | 0 | 6 |

MA 855 | Topics in Numerical Analysis I | 3 | 0 | 0 | 6 |

MA 857 | Topics in Probability I | 3 | 0 | 0 | 6 |

MA 859 | Topics in Statistics I | 3 | 0 | 0 | 6 |

MA 864 | Topics in Category Theory I | 3 | 0 | 0 | 6 |

MAS 801 | Seminar | 0 | 0 | 0 | 4 |

Course Code | Name of the Course | L | T | P | C |
---|---|---|---|---|---|

MA 842 | Topics in Algebra II | 3 | 0 | 0 | 6 |

MA 844 | Topics in Analysis II | 3 | 0 | 0 | 6 |

MA 846 | Topics in Combinatorics II | 3 | 0 | 0 | 6 |

MA 848 | Topics in Geometry II | 3 | 0 | 0 | 6 |

MA 850 | Topics in Topology II | 3 | 0 | 0 | 6 |

MA 852 | Topics in Number Theory II | 3 | 0 | 0 | 6 |

MA 854 | Topics in Differential Equations II | 3 | 0 | 0 | 6 |

MA 856 | Topics in Numerical Analysis II | 3 | 0 | 0 | 6 |

MA 858 | Topics in Probability II | 3 | 0 | 0 | 6 |

MA 860 | Topics in Statistics II | 3 | 0 | 0 | 6 |

MA 865 | Topics in Category Theory II | 3 | 0 | 0 | 6 |

MAS 802 | Seminar | 0 | 0 | 0 | 4 |

**Note:** *Each course is of 6 credits with the structure of 3-0-0-6. A prerequisite for an even numbered course is exposure to the preceding odd numbered course, except in the case of MA 824 for which exposure to MA 819 shall be the prerequisite.*