About Department

To strengthen the Statistics teaching, research and its applications. To start five-year integrated programme in Statistics. To popularize the Department as center for excellence in Statistics.


Vision

The Statistics department shares the vision of the institute of achieving excellence in teaching and research. The department was established in 1974. It has always striven to succeed in this endeavour. Over the years, it has evolved as one of the premier departments in the country providing excellent teaching and research in Statistics. In addition, research is also carried out in interdisciplinary areas of science and technology thereby contributing to the vibrant academic ambiance of Ravenshaw University, Cuttack. The department runs B.A./B.Sc. (Statistics Honours), B.A./B.Sc. B.Ed. (Statistics 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 operation research, inventory management, queuing theory, inference, sampling, Probability and Reliability Theory). The current faculty’s qualitative publications 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) 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 1974 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 improve continually the academic research dissemination and quality in statistics teaching and research.
  • To promote quality of teaching, learning and research in the department.
  • To encourage quality related research studies, consultancy and training programs.
  • To collaborate with other stake holders of Statistical studies.


Head of Department

Dr. Mahesh Kumar Panda

Head of Department

Email: mahesh2123ster@gmail.com



Courses Offered

Serial No Courses Offered Number of Seats Duration Download Syllabus
1 M.Sc. in Statistics 24 2years
2 B.A. in Statistics 8 3years
3 B.Sc. in Statistics 24 3years


Faculty

Dr. Mahesh Kumar Panda

Professor

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Dr Janardan Behera

Assistant Professor

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Dr. Saroja Kumar Singh

Assistant Professor

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Publications

Serial No Author Title Name of the Journal/Publisher Journal Link
1 Dr. Saroja Kumar Singh Singh, S. K., Acharya, S. K., Cruz, F. R. B., & Quinino, R. C. (2022). Bayesian inference and prediction in an M/D/1 queueing system. Communications in Statistics - Theory and Methods, 52(24), 8844–8864. Communications in Statistics - Theory and Methods
UGC-CARE Listed,Scopus Indexed,SCI / SCIE / ESCI Indexed,Web of Science Indexed
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2 Dr. Saroja Kumar Singh Singh, S.K. Maximum Likelihood Estimation in Single Server Queues. Sankhya A 85, 931–947 (2023). Sankhya A
UGC-CARE Listed,Scopus Indexed,SCI / SCIE / ESCI Indexed,Web of Science Indexed
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3 Dr. Saroja Kumar Singh Singh, S. K., Acharya, S. K., Cruz, F. R. B. & Cançado, A. L. F. (2023). Change point estimation in an M/M/2 queue with heterogeneous servers, Mathematics and Computers in Simulation, 212, 82-194. Mathematics and Computers in Simulation
UGC-CARE Listed,Scopus Indexed,SCI / SCIE / ESCI Indexed,Web of Science Indexed
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4 Dr. Saroja Kumar Singh Gomes, E. S., Cruz, F. R. B., & Singh, S. K. (2023). Algorithms for Determination of Sample Sizes for Bayesian Estimations in Single-Server Markovian Queues. American Journal of Mathematical and Management Sciences, 42(4), 307–322. American Journal of Mathematical and Management Sciences
UGC-CARE Listed,Scopus Indexed,SCI / SCIE / ESCI Indexed,Web of Science Indexed
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5 Dr. Saroja Kumar Singh Singh, S. K., Cruz, F. R. B., Gomes, E. S., & Banik, A. D. (2023). Classical and Bayesian estimations of performance measures in a single server Markovian queueing system based on arrivals during service times. Communications in Statistics - Theory and Methods, 53(10), 3517–3546. Communications in Statistics - Theory and Methods
UGC-CARE Listed
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6 Dr. Saroja Kumar Singh Saroja Kumar Singh, Gabriel M.B. Cruz, Frederico R.B. Cruz. (2024). Change point estimation of service rate in M/M/1/m queues: A Bayesian approach, Applied Mathematics and Computation, 465,128423. Applied Mathematics and Computation
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7 Dr. Saroja Kumar Singh Mohammed Kareem Hendi, M Naghizadeh Qomi, Saroja Kumar Singh, (2025).E-Bayesian and Hierarchical Bayesian Estimation of Traffic Intensity in the M/M/1 Queueing System, American Journal of Mathematical and Management Sciences, 43(3), 163-172. American Journal of Mathematical and Management Sciences
UGC-CARE Listed,Scopus Indexed,SCI / SCIE / ESCI Indexed
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8 Dr. Saroja Kumar Singh Gomes, E. S., Cruz, F. R. B., Quinino, R. C., & Singh, S. K. (2025). Performance measure estimations in Erlang single server queues. Communications in Statistics - Simulation and Computation, 1–14. https://doi.org/10.1080/03610918.2025.2501750 Communications in Statistics-Simulation and Computation
UGC-CARE Listed,Scopus Indexed,SCI / SCIE / ESCI Indexed,Web of Science Indexed
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9 Dr. Saroja Kumar Singh Singh, S.K., Aguirre, J.F.R. & Cruz, F.R.B. (2025). Estimating changes in traffic intensity for Markovian finite queueing systems: a Bayesian perspective. Int J Syst Assur Eng Manag 16, 2467–2479. https://doi.org/10.1007/s13198-025-02791-8 International Journal of System Assurance Engineering and Management
Scopus Indexed
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10 Dr. Saroja Kumar Singh Barik, S., Banik, A.D., Chaudhry, M.L., Singh, S. K. (2025). Computational Procedure for System Length and Waiting-time Distribution in an M^X|D|c|N Queue. Indian J Pure Appl Math 56, 973–988. https://doi.org/10.1007/s13226-025-00814-5 Indian J Pure Appl Math
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