About the Department

The Department of Statistics, founded in 2012 G.C, is one of eight departments within the College of Natural and Computational Sciences. Initially, it operated with five Lecturers and over forty students. In addition to its core curriculum, the department also offers interdisciplinary courses both within its College and beyond. Since 2015 G.C the department has contributed to the country’s development by graduating skilled statisticians.

The rationale behind Statistics department typically revolves around several key principles and objectives that emphasize the importance of statistical methods in various fields. Here are the main aspects:

• Data Analysis and Decision-Making: Statistics is essential for collecting, analyzing, and interpreting data, which helps in making informed decisions across diverse sectors such as government, healthcare, finance, and social sciences.
•  Research Support: Statisticians play a critical role in research by providing methodologies that enable the analysis of sample data to infer conclusions about larger populations. This is crucial in fields where comprehensive data collection is impractical.
• Evidence-Based Policy: Reliable statistical data is fundamental for effective policy-making. It aids in monitoring progress towards development goals and assessing the impact of various policies, particularly in poverty reduction and public health initiatives.

By 2030, the department aims to sustainably develop qualified research professionals who are efficient and foundational in the research field, thereby contributing to the country’s progress.

Produce a sufficient number of highly skilled individuals, conduct research of national significance, ensure accessibility to society, transfer knowledge and technology, and make significant contributions to national progress through valuable community services in this field.

The department has its own statistical computer lab which is equipped with computers and software specifically designed for statistical analysis and data processing. These labs serve educational and research purposes, facilitating hands-on learning and practical application of statistical concepts.

Statistical computer labs often provide access to a variety of statistical software packages essential for data analysis. Commonly available software that are given by the department includes SPSS, R, SAS, Minitab, and Eviews. Additional tools for technical writing, such as Microsoft Office and LaTeX, are also typically available for students and researchers.