Scientific data management enhances the capacity of postgraduate students to meaningful engage in conducting quality research by developing appropriate research proposals, design of studies, collection and analysis of data for meaningful reporting. PhD and MSc students are heavily involved in large-scale experiments or surveys that sometimes lead to complex designs and to subsequent messy data. Figuring out how to handle data resulting from such experiments/surveys takes time, and getting appropriate assistance is difficult. The students are also constrained on how to effectively analyze data using appropriate statistical software, interpret the results and communicate well to the target audience. In recognition of these shortcomings, this course is structured to encompass broad biometrical needs that will equip the postgraduate students with skills required in conducting their research efficiently and effectively. The content incorporated in this course is drawn from broader topics ranging from planning of experiments/surveys, designing and implementing experiments, conducting data analysis for qualitative and quantitative data. The students will also be exposed to key statistical software (Genstat and SPSS) for data analysis and reporting.