About Department
The department aims to render high standards of teaching learning activities in order to make the students equipped with necessary skills so that they can compete and excel in global forums. The department endeavours to undertake quality research by keeping pace with the best practices of the renowned institutes. The objectives of the department include instilling mathematical culture and temperament in our society, enhance problem solving skills, making a sound foundation of mathematics and develop thinking potentials among the students to offer solution of many modern day problems arising in different strata of life.
Vision
The Department of Mathematics is one of the oldest and prestigious departments of erstwhile Ravenshaw College, established in 1868 and now Ravenshaw University since 2006. It was established in 1925 with Prof. S.K. Ganguli as Professor and Head of the Department. At present, the department runs B.A./B.Sc. (Mathematics Honours), B.A./B.Sc. B.Ed. (Mathematics Honours), M.A./M.Sc., M. Phil. and Ph.D. Programmes. The current faculty (with a dedication to teaching, complement one another with diversified research interests in fields like Analysis, Algebra, Fluid Dynamics, Numerical Analysis, Approximation Theory, Probability and Reliability Theory). The current faculty’s qualitative publications (approximately 150 in number) are a milestone in research that enhances the scope for further research in the department. The department has a well-versed curriculum framed according to the U.G.C. guidelines. Every year, students are selected to participate in summer internship and training programmes like MTTS, TPM, etc. to enrich their knowledge and problem-solving skills in the subject. Our students also qualify for tests like GATE, CSIR-UGC (NET), NBHM and are admitted into reputed National research institutes like NISER, IISER, IITs, NITs, ISM Dhanbad, etc. They also succeed in getting good job opportunities in the state and national levels, respectively. Established in 1964 as a part of Ravenshaw College and from 2006 as a regular department of Ravenshaw University, Department of Statistics has sanctioned teaching position of seven. The Department offers B.A. and B.Sc. in Statistics Honours, and M.Sc. in Statistics.
Mission
- To open a centre of excellence by collaborating with reputed academic and research institutes of India and abroad.
- To instil mathematical culture and temperament and enhance problem solving skills among the learners.
- To lay a solid foundation in mathematics among the students and cultivate in them a thinking and analytical mind.
- To emerge as a global center of learning, academic excellence, and innovative research.
- To reach global standards in production and value based living through an honest and scientific approach.
- To establish an Industry– University incubator centre to promote industry oriented research involving Pure and Applied Mathematics.
Courses Offered
| Serial No | Courses Offered | Number of Seats | Duration | Download Syllabus |
|---|---|---|---|---|
| 1 | M.Sc. in Mathematics | 48 | 2years | |
| 2 | B.A. in Mathematics | 8 | 3years | |
| 3 | B.Sc. in Mathematics | 24 | 3years |
Faculty
Publications
| Serial No | Author | Title | Name of the Publisher | Journal Link |
|---|---|---|---|---|
| 1 | Subarna Bhattacharjee | Subarna Bhattacharjee, Asok K. Nanda, Satya Kr. Misra, Inequalities involving expectations to characterize distributions, Statistics & Probability Letters, Volume 83, Issue 9, 2013, Pages 2113-2118, ISSN 0167-7152, https://doi.org/10.1016/j.spl.2013.05.022. | Science Direct SCI / SCIE / ESCI Indexed |
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| 2 | Subarna Bhattacharjee | Satya Kr. Misra, Subarna Bhattacharjee, A case study of aging intensity function on censored data, Alexandria Engineering Journal, Volume 57, Issue 4, 2018, Pages 3931-3952, ISSN 1110-0168, https://doi.org/10.1016/j.aej.2018.03.009. | Faculty of Engineering, Alexandria University. SCI / SCIE / ESCI Indexed |
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| 3 | Subarna Bhattacharjee | Giri, R. L., Nanda, A. K., Dasgupta, M., Misra, S. Kr., & Bhattacharjee, S. (2023). On ageing intensity function of some Weibull models. Communications in Statistics - Theory and Methods, 52(1), 227–262. https://doi.org/10.1080/03610926.2021.1910845 | Taylor and Francis SCI / SCIE / ESCI Indexed |
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| 4 | Subarna Bhattacharjee | Bhattacharjee, S., Mohanty, I., Szymkowiak, M., & Nanda, A. K. (2024). Properties of aging functions and their means. Communications in Statistics - Simulation and Computation, 53(9), 4189–4208. https://doi.org/10.1080/03610918.2022.2141257 | Taylor and Francis SCI / SCIE / ESCI Indexed |
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| 5 | Subarna Bhattacharjee | Nanda, A. K., Chowdhury, S., Gayen, S., & Bhattacharjee, S. (2024). A new bivariate distribution with uniform marginals. Communications in Statistics - Theory and Methods, 53(19), 6918–6943. https://doi.org/10.1080/03610926.2023.2253944 | Taylor and Francis SCI / SCIE / ESCI Indexed |
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| 6 | Subarna Bhattacharjee | Bhattacharjee, S., Giri, R. L., & Szymkowiak, M. (2024). Some results on characterization of distributions in reliability analysis. Communications in Statistics - Theory and Methods, 53(24), 8866–8877. https://doi.org/10.1080/03610926.2024.2306543 | Taylor and Francis SCI / SCIE / ESCI Indexed |
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| 7 | Subarna Bhattacharjee | Bhattacharjee S, Sunoj SM, Anwar S. A new weighted means of failure rate and associated quantile versions. Probability in the Engineering and Informational Sciences. 2025;39(1):64-82. doi:10.1017/S0269964824000123 | Cambridge University Press SCI / SCIE / ESCI Indexed |
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| 8 | Subarna Bhattacharjee | Szymkowiak, M., Nanda, A. K., & Bhattacharjee, S. (2025). On means of support-dependent generalized aging intensity functions and their applications. Communications in Statistics - Simulation and Computation, 54(12), 5349–5368. https://doi.org/10.1080/03610918.2024.2449401 | Taylor and Francis SCI / SCIE / ESCI Indexed |
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| 9 | Subarna Bhattacharjee | Bhattacharjee, S., Sen, A., Anwar, S., & Nanda, A. K. (2025). Geometric and harmonic aging intensity functions and their reliability perspective. Communications in Statistics - Simulation and Computation, 1–18. https://doi.org/10.1080/03610918.2025.2501090 | Taylor and Francis SCI / SCIE / ESCI Indexed |
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| 10 | Subarna Bhattacharjee | Bhattacharjee, S., Nanda, A. K., & Patra, S. (2026). Use of copula theory in error assessment due to deviation from dependence assumption. Communications in Statistics - Simulation and Computation, 1–17. | Taylor and Francis SCI / SCIE / ESCI Indexed |
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