The Department of Mathematics & Statistics, since its inception, is committed to excellence of instruction and scholarship. As an integral part of IISER Kolkata, it is devoted to the objective of integrating education with research so as to disseminate research-based knowledge and to provide maximal research opportunities at all levels of the curriculum. In a department where a faculty member is more a facilitator of the learning process than just an instructor, each student is given individual attention along with an exposure to research activity at a level found only in the elite institutes of highest order. While Mathematics can be studied and pursued for its own sake, the department acknowledges the ever-increasing role of Mathematics in the advancement of various disciplines.

Recognizing this instrumental role of Mathematics across disciplines, the department offers a diverse bouquet of courses comparable in content to what is offered in departments with much larger infrastructure. Courses offered range from introductory topics to the frontiers of current research.

At present, the Department of Mathematics & Statistics offers three academic programmes.

This is a five-year programme where students are admitted through an annual selection after the completion of high school. An MS degree is obtained on successful completion of the programme. In the first year, there are courses on all five basic sciences i.e. Biology, Chemistry, Earth Sciences, Mathematics and Physics following which three pre-major subjects are selected out of the aforementioned five in the second year. The major subject is chosen out of the pre-majors at the third year. The programme requires a project to be executed at the fifth year for its completion. At present, there are thirteen BS-MS students in the Department of Mathematics & Statistics. The following mathematics courses are offered in the BS- MS programme.

Mathematics-I

Mathematics-II

Analysis-I

Linear Algebra

Foundations-I

Analysis-II

Probability & Statistics

Foundations-II

Analysis-III

Algebra-I

Graph Theory & Combinatorics

Elementary Number Theory

Computer Laboratory: C & Data Structures

Topology

Geometry of Curves & Surfaces

Algebra-II

Analysis-IV

Advanced Data Structures & Algorithms

Complex Analysis

Functional Analysis

Algebra-III

Mathematical Statistics

Numerical Analysis

Seminar Course

Fourier Analysis

Algebraic Topology

Differential Geometry

Ordinary Differential Equations

Computer Laboratory

Statistics Laboratory

Seminar Course

Partial Differential Equations

Elective I

Elective II

MS Project

Elective

MS Project

This is primarily a research programme geared towards students who have completed a bachelor’s

degree in Mathematics, and who are strongly motivated to pursue a career in research. The programme

consists of coursework and a project during the initial years upon completion of which a student

continues as a PhD candidate. Presently, the department has four Integrated PhD students. The

following courses are offered in the Integrated PhD programme.

Analysis-III

Algebra-I

Graph Theory & Combinatorics

Elementary Number Theory

Mathematical Statistics

Seminar Course I

Seminar Course II

Topology

Algebra-II

Analysis-IV

Ordinary Differential Equations

Differential Geometry

Seminar Course I

Seminar Course I

Complex Analysis

Functional Analysis

Algebra-III

Elective/Seminar Course

MS Project

Algebraic Topology

Elective I

Elective II

MS Project

This is the regular PhD programme where students are admitted after the completion of masters degree. The programme consists of coursework in the first year following which research work is carried out under the supervision of a faculty member of the department. There is an option of joint-supervision as well in this programme. The Department of Mathematics & Statistics at IISER Kolkata has an active, lively and growing group of researchers in various areas of Mathematics and Statistics. In Mathematics and Statistics, the areas of research are Algebraic Geometry, Algebraic Topology, Bayesian Modelling, Biological Networks, Calculus of Variations, Commutative Algebra, Computational Neuroscience, Fluid Mechanics, Functional Analysis, Graph Theory, Nonlinear Analysis, Nonlinear Dynamics, Theory of Outliers, Operator Theory, Partial Differential Equations, Reliability Theory, and Statistical Pattern Recognition. The department has six PhD students at present.