Department of Statistics
Academic Programs:
BS in Statistics
About the Course:
The modern science of statistics comprises of the discovery, development and investigation of the principles, techniques and methodologies for modeling uncertainty; for designing efficient experiments, conducting surveys and observational programs; and for analyzing and interpreting empirical data. The BS Statistics program is a four-year course that provides students with a sound understanding of statistical methods their underlying theories and applications. It aims to prepare the students for immediate work as statisticians in government, industry, and research institutions. The program also aims to provide students with a good foundation in pursuing graduate studies in statistics or other related fields.
The program equips students with the necessary skills to design studies, analyze data, manage and process data using a variety of software packages, and communicate the results of the study to the end-users. This provides graduates of the program with professional flexibility and exciting opportunities for rewarding careers in different fields such as biostatistics, market research, econometrics, actuarial science, and statistical computing.
Duration of Programme: 4 Years (8 Semesters)
Syllabus/Course Outline: [Download]
M.Sc. in Statistics
About the Course:
The MSc in Statistics is a two years full-time taught master’s degree running from September to June each academic year. This program delivers an extraordinary training in statistics, where the students acquire the knowledge to analyze and critically interpret data, build statistical models of real situations, and use statistical software packages. On completing the requisite courses one should be able to choose a suitable statistical tool that would solve a given problem of data analysis and communicate the results clearly and concisely.
The MSc is designed to provide a broad but high-level training in applied statistics, computational statistics and statistical methods. These topics are taught through mathematically demanding lectures and problems classes. There is also an option for the dissertation on an applied project. You will have approximately four to six months to work on your dissertation under the supervision of an academic advisor in the department. You will be assessed on your performance in written examinations around July to August, through your work in the assessed practicals set throughout the year, and by the quality and depth of your dissertation.
Graduate destinations
Graduates of the MSc in Applied Statistics find employment in financial, economic, governmental, scientific and industrial areas. The MSc can also be a useful stepping stone for doctoral studies, with around a third of students on the course taking this route.
Duration of Programme: 2 Years
Syllabus/Course Outline: [Download]
M.Phil. in Statistics
About the Course:
The M.Phil. program in statistics prepares students for a career pursuing research in either academia or industry. The program provides rigorous classroom training in the theory, methodology, and application of statistics, and provides the opportunity to work with faculty on advanced research topics over a wide range of theory and application areas. Major areas of departmental research include: analysis of observational studies; Bayesian inference, bioinformatics; decision theory; game theory; model selection; non-parametric function estimation; and time series analysis.
Duration of Programme: Minimum 2 Years
Syllabus/Course Outline: [Download]
Ph.D. in Statistics
About the Course:
The Department of Statistics offers remarkably wide-ranging opportunities for Doctorate studies in Statistics. The academic staffs are engaged in research projects in fields that are as varied as analysis of observational studies; Bayesian inference, bioinformatics; decision theory; game theory; model selection; nonparametric function estimation; and time series analysis. This program offers the opportunity to begin or consolidate your research career under the guidance of renowned researchers and professionals.
The Department has a strong reputation throughout the country for highly qualified researchers and a well-established system of support and training, with a high level of contact between staff and research students. Doctorate students develop analytical, communication, research, and computational skills which they can apply to solve the real world problems.
Program Structure
In their first year of study, research students follow a program of lectures and reading courses offered at the Department of Statistics. The research students have to complete a course work of eighteen (18) credit hours which will be formally assessed. Moreover, Students will write a substantial report on their research work in the form of a dissertation or thesis and give a seminar in the department at the completion of their studies.