If you want to understand how data shapes decisions in science, business, government, and everyday life, the B.Sc. Statistics programme gives you the analytical foundation you need. The programme teaches you how to collect, analyse, interpret, and present data in ways that help organisations solve problems, plan effectively, and make evidence-based decisions.
You will explore statistical theory, probability, modelling, data analysis, research methods, and computational techniques. You will also learn how statistics is applied in fields such as economics, health, engineering, agriculture, social sciences, business, and technology. This programme equips you with strong numerical, analytical, and problem-solving skills that are highly valued across many industries.
Course Overview
The B.Sc. Statistics programme provides rigorous training in statistical methods, probability theory, data analytics, mathematical foundations, and computational techniques. It prepares you to analyse real-world data and apply statistical reasoning to practical and theoretical problems. The programme duration is four years for UTME entrants and three years for Direct Entry students. During your study, you will explore:
- Probability theory and statistical inference
- Data collection, processing, and interpretation
- Applied statistics in business, health, agriculture, and social sciences
- Mathematical methods, calculus, and algebra
- Statistical modelling and forecasting
- Experimental design and survey methods
- Statistical computing and the use of software for data analysis
- Research methods and SIWES practical training
This blend of theory and application prepares you for careers in data analysis, research, quality control, finance, public health, and other data-driven sectors.
Course Curriculum
The curriculum follows the NUC Core Curriculum and Minimum Academic Standards (CCMAS) and provides a balance of mathematical foundations, theoretical statistics, applied statistics, and practical computing skills. It integrates general university courses with discipline-specific training and introduces you to data handling, statistical reasoning, and problem-solving from your first year.
Your first year focuses on mathematics, introductory statistics, computing, and general foundation courses that support deeper statistical learning in later levels. You will take courses such as:
- Introduction to Statistics
- General Mathematics
- Elementary Probability Theory
- Principles of Microeconomics
- Principles of Macroeconomics
- Introduction to Programming
- Communication in English
- Nigerian Peoples and Culture
- Basic Statistics and Data Handling
- Use of Library, Study Skills and ICT
These courses prepare you with the mathematical, computational, and communication skills essential for advanced study in statistical theory and applied data analysis.
At this stage, you focus more strongly on probability, statistical methods, and the mathematical tools needed for advanced statistical reasoning. You also begin working with statistical software and applied analytical techniques. You will take courses such as:
- Probability Distributions
- Statistical Inference I
- Linear Algebra
- Calculus for Statistics
- Sampling Techniques
- Statistical Computing
- Regression Analysis I
- Operations Research I
- Computer Applications in Statistics
- Entrepreneurship Studies
These courses build your analytical skills and introduce you to modelling, computational tools, and applied probability.
Here, you advance into deeper theoretical and applied statistical work. You learn how to analyse complex datasets, design experiments, model relationships, and interpret statistical outcomes. You also prepare for SIWES placement. You will take courses such as:
- Statistical Inference II
- Regression Analysis II
- Time Series Analysis
- Experimental Design and Analysis
- Multivariate Analysis
- Operations Research II
- Econometrics
- Research Methods in Statistics
- Demography and Social Statistics
- SIWES (Student Industrial Work Experience Scheme)
These courses develop your ability to apply statistical tools to real-life problems across industries.
Your final year prepares you for professional statistical practice and research. You study advanced statistical methods, complete specialised electives, and write a supervised research project. You will take courses such as:
- Advanced Statistical Methods
- Advanced Probability Theory
- Stochastic Processes
- Decision Theory
- Statistical Quality Control
- Bayesian Statistics
- Project Work / Dissertation
- Electives in Applied and Theoretical Statistics
By the end of this stage, you will be ready to work as a statistical analyst, data scientist, research assistant, or pursue postgraduate studies in statistical and quantitative fields.
Entry Requirements
You may enter the B.Sc. Statistics programme through either the UTME or Direct Entry pathway. Both routes ensure you have the mathematical and analytical background needed for advanced work in statistics and data analysis.
1. UTME Admission (Four-Year Programme)
- To gain admission through UTME, you must have five credit passes in relevant SSCE subjects—including English Language, Mathematics, and other acceptable Science or Social Science subjects—obtained in not more than two sittings.
- Sit for the Unified Tertiary Matriculation Examination (UTME) with English Language and relevant subjects
- Select Olabisi Onabanjo University as your first-choice institution
- Participate in and meet the cut-off for the OOU Post-UTME screening
2. Direct Entry (Three-Year Programme)
- A-Level passes in Mathematics and one other relevant subject
- NCE or ND in Statistics, Mathematics, Computer Science, or related fields with a Merit or Lower Credit grade
- Any equivalent qualification acceptable to the University Senate
- All applicants must also satisfy the University’s general admission requirements.
Why study at OOU?
Studying Statistics at Olabisi Onabanjo University equips you with the mathematical, computational, and analytical skills needed in today’s data-driven world. You will benefit from:
- A rigorous curriculum aligned with NUC CCMAS, covering theoretical and applied statistics
- Strong training in data analytics and statistical computing, preparing you for modern roles in research, business, and technology
- Opportunities for practical exposure, including SIWES placement in organisations that use data for planning, monitoring, and decision-making
- Experienced lecturers and a supportive learning environment, helping you build confidence in quantitative reasoning
- Preparation for advanced studies in Statistics, Data Science, Econometrics, Public Health, Demography, and related fields
- Career paths across multiple industries, from government and research to finance, health, business, and technology
At OOU, you become the type of statistician who can analyse problems, generate insights, and support informed decision-making in any organisation.
Research Project
In your final year, you will complete a supervised research project that allows you to apply statistical theories and analytical methods to real-world problems. During this project, you will:
- Choose a topic related to probability, statistical modelling, survey design, econometrics, data analytics, operations research, or applied statistics
- Apply research techniques such as surveys, experiments, numerical analysis, modelling, or statistical computing
- Engage with academic literature and data sources relevant to your topic
- Produce a structured dissertation demonstrating your ability to interpret data, build models, and communicate statistical findings
This project prepares you for careers in research, data analysis, policy evaluation, and postgraduate academic work.
Graduation Requirements
To qualify for the award of the Bachelor of Science in Statistics, you must fulfil the graduation requirements approved by the National Universities Commission (NUC) and Olabisi Onabanjo University.
Academic Requirements
- Complete and pass all compulsory, required, and elective courses
- Earn a minimum of 120 credit units if admitted through UTME, or 90 credit units if admitted through Direct Entry
- Maintain at least a 1.00 CGPA
- Complete and defend your final-year research project
These requirements ensure that you graduate with strong analytical, mathematical, and statistical competence.
Grading and Degree Classification
Your final classification is determined by your Cumulative Grade Point Average (CGPA), as follows:
Upon satisfying these requirements, you will be awarded the B.Sc. (Hons) Statistics, a qualification recognised for its relevance in data analytics, research, forecasting, and evidence-based decision-making across all sectors.
Career Opportunities
A degree in Statistics opens doors to careers in industries that rely on data, modelling, and scientific analysis. Your training enables you to collect, analyse, interpret, and present data in ways that inform policy, business strategy, scientific research, and technological development.
Potential Job Roles Include:
- Data Analyst
- Statistical Officer
- Research Assistant
- Biostatistician
- Actuarial Assistant
- Demographer
- Operations Research Analyst
- Market Research Analyst
- Quality Control Analyst
- Risk and Forecasting Assistant
Where You Can Work:
- Government ministries and statistical agencies
- Banks and financial institutions
- Research institutes and think tanks
- Health and medical institutions
- Telecommunications and technology organisations
- Manufacturing companies (quality control units)
- NGOs and international development agencies
- Marketing and consumer research firms
- Universities and academic institutions
- Insurance and actuarial organisations
Your degree also provides strong preparation for postgraduate studies in Statistics, Data Science, Economics, Public Health, Biostatistics, and related quantitative fields.
How to Apply?
1. UTME Entry (Four-Year Programme)
- Select Olabisi Onabanjo University as your first-choice institution.
- Choose Statistics as your preferred programme.
- Sit for the UTME with English Language and relevant subject combinations.
- Possess five O’Level credits including English Language, Mathematics, and other acceptable subjects.
- Participate in the OOU Post-UTME screening exercise and meet the departmental cut-off mark.
2. Direct Entry (Three-Year Programme)
- Hold A-Level passes, NCE, or ND in relevant fields such as Statistics, Mathematics, Computer Science, or related areas with at least a Merit or Lower Credit.
- Possess five O-Level credit passes, including English Language and Mathematics.
- Upload your credentials through the OOU admissions portal.
- Complete any required screening or verification.
You may track your application status through the University’s official admissions portal.
Course Coordinator
The B.Sc. Statistics programme is managed by a team of experienced statisticians, mathematicians, and data analysts within the Department of Statistics, Faculty of Science.
The current programme coordinator is:
Dr [Full Name]
Contact Information:
- Email:
- Phone:
- Office:
Course Overview
- Next Admission Process
- Current Academic Year
- Associated programmes = Undergraduate
- Course Duration = 4 Years
- Degree = Bachelor of Science (B.Sc.)
- Faculty = Science
- Course Type = Full Time
- Course Delivery = On campus
- Location = Faculty of Science, Main Campus
- Scholarship opportunities