The B.Sc. Industrial Mathematics programme equips you with the analytical, computational and problem-solving skills required to apply mathematical methods to real-world industrial, technological and scientific challenges. The programme bridges pure mathematical theory with practical applications across engineering, manufacturing, finance, data analysis, optimisation, logistics and emerging technological fields.
You will explore how mathematical modelling, numerical methods, statistics, operations research and computational tools can be used to solve problems involving production systems, resource allocation, forecasting, process optimisation and scientific simulation. Your training prepares you to function effectively in industries where structured reasoning, quantitative skills and advanced mathematical techniques are essential.
Course Overview
The programme provides a rigorous foundation in core mathematical principles while focusing on their practical relevance to industry. You will study calculus, algebra, differential equations, numerical analysis, statistics, optimisation techniques, mathematical modelling, computer programming and applied computational methods.
The programme runs for four years through UTME and three years through Direct Entry.
Through lectures, laboratory work, modelling sessions, computational training and industry-focused assignments, you will develop quantitative competencies relevant to manufacturing, engineering, finance, ICT and scientific research sectors.
Course Curriculum
You begin with fundamental courses that strengthen your mathematical foundation:
- Calculus
- Algebra
- Introduction to Statistics
- General Physics
- Introduction to Computer Science
- Communication Skills
- Use of Library and Study Skills
You advance into core mathematical principles through courses such as:
- Linear Algebra
- Differential Equations
- Mathematical Methods
- Numerical Analysis
- Probability Theory
- Computer Programming
Your analytical and modelling skills deepen through courses such as:
- Mathematical Modelling
- Operations Research
- Advanced Calculus
- Complex Analysis
- Applied Statistics
- Numerical Methods
You complete advanced industrially relevant courses such as:
- Optimisation Techniques
- Simulation and Computational Mathematics
- Industrial Mathematics Seminar
- Applied Differential Equations
- Stochastic Processes
- Research Project
Entry Requirements
To gain admission into the B.Sc. Industrial Mathematics programme, you must satisfy one of the following entry pathways:
1. UTME Admission (Four-Year Programme)
- You must have at least five credit passes in English Language, Mathematics, Physics, Chemistry and any other relevant Science subject, obtained in not more than two sittings.
- Sit for the UTME with English Language, Mathematics, Physics and Chemistry.
- Meet the departmental and university cut-off marks.
- Demonstrate strong aptitude for analytical thinking, problem solving and scientific reasoning.
- Satisfy all other general admission requirements of the university.
2. Direct Entry Admission (Three-Year Programme)
- You must have five credit passes, including English Language, Mathematics, Physics, Chemistry and any other required science subject, obtained in not more than two sittings.
- Possess A-Level passes in Mathematics and Physics or Mathematics and Chemistry. OR hold an ND, NCE or equivalent qualification in Mathematics, Statistics, Engineering or related fields with at least a merit or credit grade.
- Provide academic transcripts and supporting documents as required.
- Meet the University’s general Direct Entry admission regulations
Why study at OOU?
Studying industrial mathematics at Olabisi Onabanjo University gives you rigorous mathematical training coupled with real-world industrial applications. The programme prepares you to use mathematical models, computational tools and quantitative techniques to solve practical problems in science, engineering, finance, manufacturing and technology. You will benefit from:
- A curriculum aligned with modern mathematical and industrial applications.
- Lecturers with expertise in pure mathematics, applied mathematics, operations research, statistics and computational modelling.
- Development of strong analytical, logical and computational skills valued across industries.
- Exposure to practical problem-solving through case studies, simulations and modelling exercises.
- Training in modern mathematical software and computational tools.
- A strong foundation for careers in engineering support, data analysis, research, finance and advanced scientific studies.
This programme equips you to use mathematics as a tool for innovation, optimisation and technological development.
Research Project
In your final year, you will complete a research project that demonstrates your ability to apply mathematical theories and methods to real-world problems. This capstone project strengthens your research, modelling and analytical skills. Working with a supervisor, you will:
- Select a topic such as optimisation, numerical analysis, mathematical modelling, applied statistics, fluid mechanics or computational mathematics.
- Apply appropriate mathematical and computational methods.
- Analyse results using advanced mathematical reasoning.
- Present your findings in a clear and rigorous project report.
Your project prepares you for roles in research, data-driven industries, technology development and postgraduate mathematics programmes.
Graduation Requirements
To qualify for the award of the Bachelor of Science in Industrial Mathematics, you must fulfil the graduation requirements approved by the National Universities Commission (NUC) and Olabisi Onabanjo University.
Academic Requirements
- Complete and pass all compulsory and elective courses in the programme.
- Earn the prescribed minimum credit units for UTME (four-year) or Direct Entry (three-year) admission.
- Maintain a minimum CGPA of 1.00.
- Complete and defend your final-year project.
Grading and Degree Classification
Your final classification is determined by your Cumulative Grade Point Average (CGPA):
Upon satisfying these requirements, you will be awarded the B.Sc. Industrial Mathematics, a degree that prepares you for analytical and technical roles in industry, finance, research and technology.
Career Opportunities
With strong analytical and computational skills, you may pursue careers such as:
- Data Analyst
- Operations Research Analyst
- Statistical Officer
- Quality Control Analyst
- Financial Modelling Assistant
- Research and Development Technician
- Mathematical Programmer
- Engineering Support Analyst
- Risk Analyst
- Actuarial Assistant
You may find employment in:
- Telecommunications and technology firms
- Manufacturing and industrial establishments
- Banks and financial institutions
- Research institutes
- Government ministries and agencies
- Consulting firms
- Oil and gas companies
The degree also provides a solid foundation for postgraduate studies in Mathematics, Statistics, Engineering, Data Science and related fields.
How to Apply?
1. UTME Entry (Four-Year Programme)
- Select Olabisi Onabanjo University as your first choice and choose Industrial Mathematics as your preferred course.
- Sit for the UTME in English Language, Mathematics, Physics and Chemistry.
- Possess the required O-Level credits.
- Participate in the Post-UTME screening.
2. Direct Entry (Three-Year Programme)
- Hold A-Level or ND/NCE in Mathematics, Physics or related fields.
- Present the required O-Level credits.
- Upload transcripts and supporting documents on the admissions portal.
Course Coordinator
The B.Sc. Industrial Mathematics programme is managed by a team of dedicated academics and experienced researchers within the Department of Mathematical Sciences, 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 = 5 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