Programs of Statistics Department

Programs (regular):
1. BSc degree in statistics:

  • This program was started in 2006, where the first batches have graduated in 2008.
  • So far, six batches (more than 500 students) had graduated with the BSc degree program, and three batches (30 students) with MSc degree in Biostatistics.
  • Currently, a total of 248 students (undergraduate program), where 58, 59 and 131 students at the first, second and third years, respectively, and 21 students (postgraduate program), where 10 students in the first year and 11 in the second year, are attending at both programs.

Program objective

  • To train middle level statisticians who can serve in collecting, processing and analyzing statistical data;
  • To train middle level statisticians who can assist in statistical research undertakings and provision of statistical services.
  • To produce middle level statisticians who can manage and supervise the activities of statistical units or offices at both government and nongovernmental organizations;
  • To produce potential candidates for graduate studies so as to meet the demand for high level statisticians who can teach and conduct research at Higher Education Institutions (HEIs), and other research and training centers.

Entry requirements:

  • An applicant must have successfully completed the science preparatory in a recognized secondary school with good performance in mathematics at the national examination, or
  • The applicant must have graduated from a recognized university/college with a diploma in Statistics or related fields.

Graduate profile:
A B.Sc. graduate in Statistics is expected to:

  • Demonstrate competence in data collection, management, summary and analysis required at many production and development sectors day to day activities,
  • Supervise and/or manage activities of lower level statistical units or offices,
  • Assist in statistical research and the provision of statistical services in research establishments, business and government and non-government institutions,
  • Plan and conduct sample surveys and experimental designs,
  • Use statistical software to carry out necessary computation for statistical analysis of data,
  • Write clear statistical reports and communicate the results of statistical analyses in non-technical language,
  • Demonstrate professional ethics in his/her career,
  • Contribute to the ongoing development of the country in his/her area with sense of responsibility, and
  • Demonstrate social responsibility and capacity to manage teamwork.

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2.MSc degree in biostatistics:

  • The postgraduate program in biostatistics was launched in 2009 as part of the North – South – South (NSS) project, one of the VLIR component projects.
  • Since the beginning of the program, courses are used to be offered jointly both by local guest lecturers and collaborators from Universities in Belgium.
  • Currently, there are two batches (a total of 21 postgraduate students) attending the postgraduate program in biostatistics.

 

Program objective:
The objective of the graduate program in Biostatistics is:

  • To provide advanced training in the theory and application of statistical methods in public health, clinical medicine, and biological sciences,
  • To produce high caliber and practically competent graduates in the area of Biostatistics (Applied Statistics). i.e. to develop the technical, practical and leadership expertise of students in this important area of Biostatistics, thereby enabling students to contribute significantly throughout the world,
  • To conduct demand driven and problem solving researches, including methodological researches, focusing on national and regional issues. On top of it, the program will organize professional workshops and tailor made training programs in the area of Applied Statistics in general and Biostatistics in particular,
  • To contribute to the betterment of various research undertakings in the University, by assisting investigators from the very beginning of their design phase to the analysis of their research.

Entry requirements:

  • A direct admission to the graduate program in biostatistics will be given for those applicants with first degree in statistics,
  • Applicants with first degree from mathematics field can join the graduate program with pre-determined pre-request courses before direct entry,
  • Applicants from various disciplines, such as economics, Public Health, Medicine, Biology, Agriculture, Vet Medicine and related disciples can also admit to the graduate program with more pre-determined bridge courses than those from mathematics discipline,
  • All applicants for admission to the graduate program in Biostatistics must also meet the university’s requirements.

Graduate profile:

  • Upon completion of MSc specializations in Biostatistics, the graduates are expected to:
  • have insight in the design of studies and the consequences of the design on further analysis (experimental studies, observational studies, survey methodology, …),
  • know how to determine sample size and collect data,
  • be able to use graphical tools to explore, summarize and describe quantitative data,
  • have insight in the basic theoretical concepts (probability theory, distributions, estimation theory, hypothesis testing, …),
  • recognize patterns and structures in data (independence, correlations, repeated measurements, missing data, …),
  • dispose of a range of statistical modeling techniques and know how to correctly use them (simple, multiple and logistic regression, analysis of variance, discrete data analysis, multivariate methods, non-parametric techniques, …),
  • be capable of correctly interpreting results of analyses,
  • know the limitations of statistical analyses, take them into account and communicate them,
  • be capable of autonomously understanding the underlying concepts of new methods to apply them in new situations,
  • Develop an overall analytical and synthetic reasoning power to solve, individually as well as in team, real statistical problems, write & defend professional scientific report (master thesis).
  • master a variety of statistical software packages, and be able to manipulate data across different systems,
  • have insight in the interplay between statistics and fast computational techniques,
  • know methods,  master software to manage data bases, and detect relations within data bases,
  • master communication skills, with peers as well as colleagues from other disciplines,
  • be capable of writing thorough scientific reports and giving clearly structured oral presentations, for both technical and non-technical audiences,
  • be confronted with real-life situations of the applied statistician, where the data are never “clean” or according to the textbook, be able to separate appropriate from inappropriate statistical methods in a specific context,  and be aware of the limitations of the technique applied,
  • understand the impact of statistics on policy decisions, on health care, on agriculture and environment, etc., from concrete examples, without avoiding ethical considerations, and gain experience with the frequent occurrence of data in structures or formats that are not compatible with standard statistical software, and should gain competence in data handling /data managing.

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