The Bachelor of Statistics and Demography program is designed to equip students with strong quantitative, analytical, and statistical skills required for data collection, analysis, interpretation, and population studies. The program focuses on statistical theory, applied statistics, demographic analysis, and research methods relevant to economic, social, and development planning.
Graduates of this program are prepared to support evidence-based decision-making in government institutions, research organizations, non-governmental organizations, and international agencies.
The Bachelor of Statistics and Demography is a four-year undergraduate degree program with an optional fifth-year Honours degree awarded by merit. The program begins with foundational courses in mathematics, statistics, computer applications, and social sciences, and advances to specialized courses in probability theory, statistical inference, demography, population studies, econometrics, and data analysis.
The curriculum combines theoretical knowledge with practical applications, fieldwork, and research projects. Students develop competence in statistical software, survey design, data management, and demographic analysis. Graduates are well positioned for careers in statistics offices, planning units, health and population agencies, research institutions, and further postgraduate studies.
Upon successful completion of the Bachelor of Statistics and Demography program, graduates will be able to:
Apply statistical theories and methods to analyze quantitative data.
Design and conduct surveys and demographic studies.
Analyze population trends and demographic indicators.
Use statistical software and computer tools for data analysis.
Interpret and communicate statistical findings effectively.
Apply probability and inferential techniques in real-world contexts.
Conduct basic research using appropriate statistical methodologies.
Demonstrate ethical responsibility in data handling and analysis.
Contribute to planning, policy formulation, and development programs using statistical evidence.
| # | Course Title | Credit Hours |
|---|---|---|
| 1 | Introduction to Statistics | 3 |
| 2 | Basic Mathematics | 3 |
| 3 | Introduction to Sociology | 2 |
| 4 | Communication Skills | 2 |
| 5 | Introduction to Computer Science | 2 |
Total Credit Hours: 12
| # | Course Title | Credit Hours |
|---|---|---|
| 1 | Statistical Methods I | 3 |
| 2 | Mathematics for Statistics | 3 |
| 3 | Probability Theory I | 3 |
| 4 | Demography I | 2 |
Total Credit Hours: 11
| # | Course Title | Credit Hours |
|---|---|---|
| 1 | Statistical Methods II | 3 |
| 2 | Probability Theory II | 3 |
| 3 | Demography II | 3 |
| 4 | Research Methods | 2 |
Total Credit Hours: 11
| # | Course Title | Credit Hours |
|---|---|---|
| 1 | Statistical Inference | 3 |
| 2 | Sampling Techniques | 3 |
| 3 | Population Studies | 3 |
| 4 | Statistical Computing | 2 |
Total Credit Hours: 11
| # | Course Title | Credit Hours |
|---|---|---|
| 1 | Regression Analysis | 3 |
| 2 | Applied Demography | 3 |
| 3 | Time Series Analysis | 3 |
| 4 | Survey Design | 2 |
Total Credit Hours: 11
| # | Course Title | Credit Hours |
|---|---|---|
| 1 | Multivariate Statistics | 3 |
| 2 | Population Projections | 3 |
| 3 | Econometrics | 3 |
| 4 | Data Management | 2 |
Total Credit Hours: 11
| # | Course Title | Credit Hours |
|---|---|---|
| 1 | Advanced Statistical Analysis | 3 |
| 2 | Demographic Methods | 3 |
| 3 | Statistical Quality Control | 3 |
| 4 | Data Analysis Project | 2 |
Total Credit Hours: 11
| # | Course Title | Credit Hours |
|---|---|---|
| 1 | Research Project / Thesis | 6 |
| 2 | Population and Development | 3 |
| 3 | Statistical Consultancy | 3 |
Total Credit Hours: 12
Admission to the fifth year is based on academic merit and university regulations.
