Statistics
About the Program
The B.Sc. Statistics program is a four-year undergraduate degree designed to equip students with theoretical knowledge and practical skills in statistical methods, data analysis, and quantitative reasoning. The program emphasizes the collection, organization, interpretation, and presentation of data for informed decision-making in science, industry, government, healthcare, business, and research.
Students will be trained in probability theory, inferential statistics, experimental design, multivariate analysis, and statistical computing. Through coursework, laboratory sessions, and industry-focused projects, they will develop proficiency in statistical software and programming languages commonly used in data analysis.
The program prepares graduates to address real-world challenges through data-driven solutions and offers a solid foundation for careers in data science, research, actuarial science, banking, public health, and graduate studies in statistics and related disciplines.
Program Objectives
The B.Sc. Statistics program aims to produce graduates who are highly skilled in statistical techniques and data interpretation, with the ability to contribute to research, policy development, and evidence-based decision-making.
Graduates of the program will be able to:
- Understand and apply the principles of probability and statistical theory
- Design statistical surveys and experiments for effective data collection
- Analyze and interpret data using appropriate statistical tools and models
- Use statistical software and programming languages for data analysis and reporting
- Communicate statistical findings effectively to diverse audiences
- Apply statistical knowledge ethically and responsibly in various domains
Graduates will emerge with:
- Strong foundation in mathematical and statistical theory
- Proficiency in data analysis using statistical tools (e.g., R, SPSS, Python, Excel, STATA)
- Analytical thinking and problem-solving skills
- Practical experience through projects, field surveys, and industrial training
- Preparation for careers in data science, research, finance, epidemiology, and consulting
- Eligibility for postgraduate studies in statistics, actuarial science, biostatistics, and data analytics
Program Details
- Faculty: Science
- Department: Statistics
- Duration: 4 Years
- Level: Undergraduate
- Application Status: Open
Curriculum
The B.Sc. statistics curriculum aligns with the National Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). It integrates mathematical rigour, practical skills, and computing proficiency for modern statistical practice.
Admission Criteria
UTME Entry (4-Year Programme)
To qualify for admission through UTME, candidates must:
- Present credits in five (5) O’Level subjects (WAEC/NECO/NABTEB) at not more than two sittings, including:
- English Language
- Mathematics
- Further Mathematics or Physics
- Economics, Biology, or Geography
- Any other relevant subject
- Meet all other departmental and faculty requirements
Direct Entry (3-Year Programme)
Candidates may gain admission through:
- A’Level/JUPEB with a minimum of 8 points in:
- Mathematics
- Statistics or Further Mathematics
- Any other science or social science subject
- OND/HND in Statistics, Mathematics, Computer Science, or related fields with at least Lower Credit
- NCE with major in Mathematics and any other relevant subject
- All Direct Entry candidates must also possess the five O’Level credits as specified for UTME entry
Additional Requirements:
- Candidates must be at least 16 years old by the admission year
- Medical fitness certification is required upon admission
- All submitted credentials are subject to verification
Program Fees
The following fees are applicable for the Statistics program. Please note that fees are subject to change.
| Indigene Fee | NGN 158,000.00 |
|---|---|
| Non-Indigene Fee | NGN 160,000.00 |