Message from Dr. Dominic Kitavi
Welcome to the Department of Mathematics and Statistics, one of the departments at the School of Pure and Applied Sciences, University of Embu. The department was established in July 2021 following the split of the former department of Mathematics, Computing, and Information technology into two departments: Department of Mathematics and Statistics & Department of Computing and Information Technology. The department of Mathematics and Statistics currently has about 400 students in both our undergraduate and postgraduate programmes.
The department has qualified academic members of staff in Applied Mathematics, Pure Mathematics and Statistics, who are actively engaged in quality teaching, research, and community service. We are committed to providing excellent teaching services and exposing our students to scientific thinking and innovation.
The departmental academic programmes are framed in a manner suitable to produce professionals who can conceive, design, and implement innovative mathematical solutions and applications. Our graduates fits well in multiple and diverse sectors where mathematical and statistical skills are needed. The department is committed in making follow-up on the progress of their graduates.
The department currently has two undergraduate programmes: Bachelor of Science in Statistics and Bachelor of Science in Mathematics with Computing. Two more undergraduate programmes are at advanced stages of development: Bachelor of Science in Actuarial Science and Bachelor of Science in Financial Mathematics.
The department also runs three postgraduate programmes: Master of Science in Pure Mathematics, Master of Science in Applied Mathematics, and Master of Science in Statistics. Corresponding PhD programmes are at advanced stages of development. The department is committed to ensuring that the students complete their research proposals and theses on time.
The department strives to: Establish collaborations both locally and internationally with other universities and industrial partners; Develop new demand-driven academic programmes at both undergraduate and postgraduate levels; Carry out research to solve and address societal challenges; among others.
To learn more about the department and research interests of our staff, please contact the Chairman of Department or the individual members of the department.
M & S Staff Profiles
Latest Publications from the Department
- Ngari, C. G., & Kitavi, D. M. (2020). Parameterization and Forecasting of Childhood Pneumonia Model Using Least Square Approximation, Lagrange Polynomial and Monte Carlo Simulation. Annual Research & Review in Biology, 102-114.
- Mirgichan, J. K., Ngari, C. G., & Karanja, S. (2020). Simulation of a Deterministic Model of HIV Transmission between Two Closed Patches. Journal of Advances in Mathematics and Computer Science, 1-11.
- Kawira, M., Ngari, C. G., & Karanja, S. (2020). A Theoretical Model of Corruption Using Modified Lotka Volterra Model: A Perspective of Interactions between Staff and Students. Journal of Advances in Mathematics and Computer Science, 12-25.
- Ngechu, J. N., Okeyo, H. O., Ongeso, A., Wanyoike, P. K., Atitwa, E. (2020) Socio-Demographic Factors And Knowledge Influencing Associated With ORS Use For Diarrhoea In Children At Miathene Sublocation, Meru County, Kenya. International Journal of Innovative Research and Advanced Studies (IJIRAS) 7 (5) www.ijiras.com
- Wong, K., Morris, Z., Kitavi, D., & Lin, T. (2019). A uniform circular array of isotropic sensors that stochastically dislocate in three dimensions—The hybrid Cramér-Rao bound of direction-of-arrival estimation. The Journal Of The Acoustical Society Of America, 146(1), 150-163. doi: 10.1121/1.5098771
- Kitavi, D., Wong, K., Lin, T., & Wu, Y. (2019). Hybrid Cramér-Rao bound of direction finding, using a triad of cardioid sensors that are perpendicularly oriented and spatially collocated. The Journal Of The Acoustical Society Of America, 146(2), 1099-1109. doi: 10.1121/1.5120521
- Nyokabi, V., Kitavi, D., & Ngari, C. (2019). Cramér-Rao Bound of Direction Finding Using Uniform Arc Arrays. Journal Of Advances In Mathematics And Computer Science, 1-15. doi: 10.9734/jamcs/2019/v33i130168
- Mirgichan, K.J., Ngari, C.G, & Karanja, S. (2019). A Deterministic Model Of HIV Transmission Between Two Closed Patches Incorporating The Monod Equation. Mathematical Theory and Modeling Vol.9, No.6, ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) DOI: 10.7176/MTM
- Akelo, G., Mbunzi, S., & Ngari, C. (2019). Multinomial Logistic Modelling of Socio-Economic Factors Influencing Spending Behavior of University Students. Asian Journal of Probability and Statistics, 3(4), 1-23. Retrieved from http://www.journalajpas.com/index.php/AJPAS/article/view/30102