Statistics is a quantitative discipline that deals with the collection, organisation, analysis, interpretation and presentation of data. It helps individuals, businesses, governments and researchers make informed decisions by turning raw information into useful conclusions.
Students studying Statistics develop strong skills in Mathematics, probability, data analysis, statistical modelling and computing. Depending on the university, the programme may also include courses in econometrics, survey methods, experimental design, time series analysis, statistical programming and data science.
The course is relevant across many sectors, including banking, insurance, healthcare, government, business, technology, education, research and finance. Statisticians and data professionals are needed wherever organisations collect large amounts of information and need reliable methods to understand it.
For candidates applying in the 2027/2028 admission session, Mathematics is the most important subject. Physics, Chemistry and Economics are also commonly accepted as supporting UTME subjects, although the exact combination depends on the university.
Applicants must also meet the required O’Level credits. Direct Entry candidates may qualify through A-Level, IJMB, JUPEB, NCE, ND or HND in Mathematics, Statistics or other relevant fields, depending on the institution.
Candidates should also note that related programmes may appear under titles such as Applied Statistics, Statistics and Data Science, Biostatistics, Statistics with Demography, or Mathematics and Statistics. These courses are closely connected, but their admission requirements may not always be identical.
This guide explains the JAMB subject combination for Statistics, O’Level and Direct Entry requirements, university-specific conditions, related courses, career opportunities and other important admission information for the 2027/2028 academic session.
JAMB Subject Combination for Statistics
Mathematics is the key UTME subject for Statistics because the course depends heavily on calculations, probability and quantitative analysis. The remaining subjects may vary according to the university.
| JAMB Subject | Requirement |
|---|---|
| English Language | Compulsory |
| Mathematics | Required |
| Physics | Commonly accepted |
| Chemistry | Commonly accepted |
| Economics | Commonly accepted |
The general JAMB subject combination for Statistics is:
- English Language
- Mathematics
- Any two of Physics, Chemistry and Economics
The standard Statistics requirement lists Mathematics together with any two of Physics, Chemistry and Economics as the three UTME subjects apart from English Language.
However, candidates should not assume that every university follows this combination exactly. Some institutions specify particular supporting subjects.
For example, FUTA requires Mathematics, Physics and Chemistry only, while the University of Benin requires Mathematics and Physics together with one of Biology, Chemistry, Agricultural Science or Economics.
The University of Lagos also requires Mathematics and Physics with one additional subject selected from Chemistry, Economics, Biology or Geography.
Therefore, candidates should always check the requirements of their preferred institution before selecting UTME subjects. Where the university has not provided a different combination, English Language, Mathematics and two of Physics, Chemistry and Economics remains the general guide for Statistics.
O’Level Requirements for Statistics
Candidates applying for Statistics generally need five O’Level credit passes, with Mathematics and English Language forming the core requirements. The remaining subjects are usually drawn from Science and quantitative Social Science subjects.
| O’Level Subject | Requirement |
|---|---|
| English Language | Credit pass |
| Mathematics | Credit pass |
| Physics | Commonly accepted |
| Chemistry | Commonly accepted |
| Economics | Commonly accepted |
| Further Mathematics/Statistics/Geography | Accepted by some universities |
A typical O’Level combination may include:
- English Language
- Mathematics
- Physics
- Chemistry
- Economics, Further Mathematics, Statistics or another approved subject
The general Statistics requirement allows five credits including English Language, Mathematics and at least three subjects selected from Physics, Statistics, Chemistry, Further Mathematics, Economics and Geography.
Some universities set more specific conditions. The University of Lagos requires English Language, Mathematics, Further Mathematics and Physics, together with one of Economics, Chemistry or Geography.
The University of Benin accepts English Language and Mathematics with any three of Physics, Chemistry, Biology/Agricultural Science or Geography.
AAUA requires five credits including English Language, Mathematics and Physics, plus two other Science subjects.
Because the accepted supporting subjects differ across institutions, candidates should verify the exact O’Level combination required by their chosen university before applying for the 2027/2028 admission session.
Direct Entry Requirements for Statistics
Direct Entry into Statistics is available at many universities for candidates with relevant advanced qualifications in Mathematics, Statistics or closely related fields. The exact subjects and minimum grades vary by institution.
| Qualification | Typical Requirement |
|---|---|
| A-Level | Mathematics or Statistics with another relevant subject |
| IJMB | Mathematics plus approved Science or Social Science subjects |
| JUPEB | Mathematics with relevant supporting subjects |
| NCE | Mathematics, Statistics or related subjects where accepted |
| ND | Statistics, Mathematics or another relevant programme |
| HND | Relevant Statistics, Mathematics or quantitative programme where accepted |
| O’Level | Required credit passes must still be satisfied |
Common Direct Entry routes include:
- A-Level passes involving Mathematics or Statistics
- IJMB or JUPEB with Mathematics and relevant subjects
- NCE in Mathematics, Statistics or another approved quantitative field
- ND in Statistics, Mathematics or related programmes
- HND in an approved Mathematics, Statistics or quantitative discipline
The general Direct Entry requirement includes two A-Level passes with Mathematics or Statistics, while NCE credit in relevant subjects may also be accepted.
UNN accepts two A-Level passes that include Mathematics or Statistics. It may also consider relevant NCE, ND Upper Credit and HND Lower Credit qualifications, provided the UTME requirements are satisfied.
LAUTECH accepts two A-Level passes including Mathematics and one subject from Physics, Economics, Geography, Chemistry or Biology. It may also accept ND Upper Credit in Statistics or NCE credit in Mathematics with another Physical Science subject.
FUNAAB accepts ND Upper Credit in Statistics, Computer Science, Mathematics or related programmes, as well as NCE credit in relevant subjects and suitable A-Level combinations.
Because universities differ on accepted qualifications and grades, candidates should confirm whether their preferred institution requires Upper Credit, Lower Credit, Merit, a minimum IJMB/JUPEB score or specific A-Level subjects before applying.
Admission Requirements Overview
Admission into Statistics requires a strong foundation in Mathematics because most of the programme involves quantitative reasoning, probability, data analysis and statistical modelling. Supporting subjects may come from the Sciences or quantitative Social Sciences, depending on the university.
| Admission Area | General Requirement |
|---|---|
| JAMB Use of English | Compulsory |
| Core UTME Subject | Mathematics |
| Common Supporting Subjects | Physics, Chemistry and Economics |
| General UTME Combination | Mathematics plus any two of Physics, Chemistry and Economics |
| O’Level Requirement | Five relevant credit passes |
| Essential O’Level Subjects | English Language and Mathematics |
| Other O’Level Subjects | Physics, Chemistry, Economics, Statistics, Further Mathematics or Geography |
| Direct Entry Routes | A-Level, IJMB, JUPEB, NCE, ND or HND |
| Common A-Level Requirement | Mathematics or Statistics plus another relevant subject |
| Programme Area | Mathematical/Physical Sciences |
| Number of Sittings | Depends on the institution |
| University-Specific Requirements | Must be confirmed before applying |
For UTME admission, English Language and Mathematics are central. Physics, Chemistry and Economics are commonly used to complete the combination, but some universities specify particular subjects rather than allowing candidates to choose freely.
At O’Level, applicants generally need five credit passes. English Language and Mathematics are essential, while the remaining credits may be selected from subjects such as Physics, Chemistry, Economics, Statistics, Further Mathematics and Geography according to the institution’s requirements.
Direct Entry candidates may qualify through A-Level, IJMB, JUPEB, NCE, ND or HND. Mathematics or Statistics normally forms an important part of the qualification, and some universities also specify particular grades or supporting subjects.
Applicants should also distinguish Statistics from related courses such as Applied Statistics, Mathematics and Statistics, Statistics and Data Science, Biostatistics, and Statistics with Demography. Although these programmes overlap, their admission requirements may differ.
Special Considerations and University-Specific Requirements
Statistics admission requirements vary across Nigerian universities. Mathematics remains the central subject, but institutions differ in the supporting UTME subjects, O’Level credits and Direct Entry qualifications they accept.
University of Lagos
The University of Lagos requires Mathematics and Physics, together with one of Chemistry, Economics, Biology or Geography for its Statistics UTME combination.
Its O’Level requirements are more specific than the general Statistics requirement. Candidates need credits in:
- English Language
- Mathematics
- Further Mathematics
- Physics
- One of Economics, Chemistry or Geography
For Direct Entry, Lagos accepts very good JUPEB or A-Level passes in Physics, Mathematics and one of Chemistry, Biology, Economics or Geography. It also requires an O’Level credit in Further Mathematics and does not accept NCE for this route.
University of Nigeria, Nsukka
UNN provides several Direct Entry pathways for Statistics. Candidates may qualify with two A-Level passes that include Mathematics or Statistics, together with the required UTME qualifications.
The university may also consider:
- NCE in relevant subjects
- ND Upper Credit in a relevant programme
- HND Lower Credit in a relevant programme
- NCE Merit in an appropriate subject
This makes it particularly important for Direct Entry candidates to ensure that their previous qualification is sufficiently related to Mathematics or Statistics.
Federal University of Technology, Akure
FUTA uses a strict UTME combination for Statistics. Candidates are required to take:
- Mathematics
- Physics
- Chemistry
For Direct Entry, FUTA may accept an ND in Statistics with at least Upper Credit or its equivalent from a recognised institution. Relevant A-Level qualifications may also be considered according to the university’s conditions.
Candidates targeting FUTA should therefore not assume that Economics can replace either Physics or Chemistry in JAMB.
University of Benin
The University of Benin requires Mathematics and Physics, together with one of Biology, Chemistry, Agricultural Science or Economics for UTME admission into Statistics.
At O’Level, candidates need English Language and Mathematics alongside three subjects selected from Physics, Chemistry, Biology/Agricultural Science or Geography.
For Direct Entry, Benin may consider A-Level qualifications involving Mathematics or Statistics with another relevant Science or Social Science subject. Relevant ND, HND and NCE qualifications may also be considered under its stated conditions.
University of Ilorin
The University of Ilorin accepts two A-Level passes involving Mathematics and one of Physics, Chemistry, Economics or Geography through IJMB, JUPEB or an equivalent qualification.
Because Statistics can draw supporting subjects from both the Sciences and quantitative Social Sciences, Ilorin provides some flexibility at the advanced-entry level while still keeping Mathematics compulsory.
Ahmadu Bello University
ABU accepts two A-Level or IJMB passes in Mathematics and one of Chemistry, Physics, Biology, Geography or Geology.
Relevant NCE and ND qualifications involving Mathematics or Statistics may also be considered, depending on the route and required grade.
Ladoke Akintola University of Technology
LAUTECH accepts two A-Level passes in Mathematics and one of Physics, Economics, Geography, Chemistry or Biology.
Other Direct Entry options include:
- ND Upper Credit in Statistics
- NCE credit in Mathematics and another Physical Science subject
Federal University of Agriculture, Abeokuta
FUNAAB provides several Direct Entry possibilities. It may accept:
- ND Upper Credit in Statistics
- ND Upper Credit in Computer Science or Mathematics
- NCE credit in relevant subjects
- Suitable A-Level passes involving Statistics, Physics and Mathematics
Why University Requirements Matter
The general JAMB combination for Statistics allows Mathematics plus two of Physics, Chemistry and Economics, but this does not mean every institution accepts all three options interchangeably.
Some universities insist on Physics, others require Chemistry, and certain institutions have additional O’Level conditions such as Further Mathematics. Direct Entry rules can differ even more, particularly regarding ND, HND, NCE, IJMB and JUPEB qualifications.
Candidates should therefore confirm the requirements attached specifically to Statistics at their preferred institution rather than relying only on the general subject combination.
Courses Related to Statistics
Statistics connects closely with Mathematics, computing, economics and data-focused disciplines. Students who are interested in quantitative analysis but want a slightly different academic direction may consider several related courses.
- Applied Statistics: Focuses on using statistical methods to solve practical problems in business, science, government and research.
- Mathematics: Provides a broader foundation in algebra, calculus, geometry, mathematical analysis and other areas that support statistical theory.
- Mathematics and Statistics: Combines mathematical theory with probability, statistical modelling and data analysis.
- Statistics and Data Science: Blends traditional statistical methods with programming, machine learning and modern data-analysis techniques.
- Data Science: Concentrates on extracting useful information from large datasets using statistics, programming and computational methods.
- Data Science and Analytics: Applies statistical and computational techniques to business, scientific and organisational data.
- Biostatistics: Applies Statistics to biology, medicine, public health and other health-related research areas.
- Statistics with Demography: Combines statistical analysis with the study of populations, birth rates, mortality, migration and population change.
- Actuarial Science: Uses Mathematics, Statistics and probability to analyse financial risk, insurance and long-term uncertainty.
- Economics: Uses quantitative methods and statistical analysis to study markets, production, employment, finance and economic behaviour.
- Computer Science: Focuses on programming, algorithms and computing systems, with increasing applications in data analysis and artificial intelligence.
- Operations Research: Uses mathematical and statistical techniques to improve decision-making, resource allocation and organisational efficiency.
- Business Analytics: Applies data analysis and statistical methods to business decisions, forecasting and performance measurement.
- Mathematics with Computer Science: Combines mathematical reasoning with programming and computational problem-solving.
Students who enjoy probability, data interpretation and statistical modelling may prefer Statistics or Applied Statistics. Those interested in programming and large datasets may consider Data Science, while candidates drawn to financial risk may find Actuarial Science more suitable.
Core Focus Areas in Statistics
Statistics combines mathematical reasoning with methods for collecting, analysing and interpreting data. Students learn how to draw reliable conclusions from information, measure uncertainty and build models that can support decision-making.
Major areas of study include:
- Probability: Examines uncertainty and the likelihood of different events occurring.
- Descriptive Statistics: Focuses on summarising data using measures such as averages, percentages, tables, charts and measures of variation.
- Inferential Statistics: Uses sample data to make conclusions or predictions about a larger population.
- Regression Analysis: Studies relationships between variables and helps explain or predict changes in one variable using others.
- Statistical Modelling: Involves creating mathematical models that describe patterns and relationships within data.
- Sampling Theory: Covers methods for selecting representative samples from larger populations.
- Experimental Design: Examines how scientific or practical experiments can be planned so that results are reliable and meaningful.
- Time Series Analysis: Studies data collected over time and is useful for forecasting areas such as sales, prices, population and economic indicators.
- Multivariate Analysis: Deals with datasets containing several variables that need to be examined together.
- Probability Distributions: Studies mathematical models that describe how different values or outcomes are distributed.
- Econometrics: Applies statistical methods to economic and financial data.
- Biostatistics: Uses statistical methods in medicine, biology, public health and health-related research.
- Statistical Computing: Uses computer software and programming tools to analyse large and complex datasets.
- Data Analysis: Covers the organisation, exploration, interpretation and presentation of information for decision-making.
- Survey Methods: Focuses on designing questionnaires, collecting responses and analysing survey data.
- Machine Learning Fundamentals: Introduces computational methods that use data to identify patterns, classify information and make predictions.
These areas help Statistics students develop strong skills in quantitative reasoning, data interpretation, mathematical modelling, computing and problem-solving. The exact course structure may vary between universities, especially where Statistics is combined with Data Science, Computing or another quantitative discipline.
Typical Career Paths
A degree in Statistics can lead to careers in data analysis, finance, healthcare, government, research, technology and business. The skills developed through the programme are useful wherever organisations need to collect, interpret and make decisions from data.
Possible career paths include:
- Statistician: Collects, analyses and interprets numerical data for organisations, research projects and government agencies.
- Data Analyst: Examines datasets to identify patterns, trends and useful information that can support decision-making.
- Data Scientist: Uses Statistics, programming and machine learning techniques to analyse complex datasets and build predictive models.
- Business Intelligence Analyst: Transforms business data into reports, dashboards and insights that can guide organisational decisions.
- Research Analyst: Uses statistical methods to analyse information for academic, commercial, government or policy research.
- Biostatistician: Applies statistical techniques to medicine, biology, public health and clinical research.
- Market Research Analyst: Studies consumer behaviour, market trends and survey data to help businesses understand their customers.
- Risk Analyst: Uses statistical models to evaluate financial, operational or business risks.
- Financial Analyst: Analyses financial information, trends and performance to support investment or business decisions.
- Actuarial Analyst: Applies probability and statistical techniques to insurance, pensions and financial risk assessment.
- Government Statistician: Collects and analyses population, economic, employment and other public-sector data.
- Survey Statistician: Designs surveys, develops sampling methods and analyses responses from individuals or organisations.
- Operations Research Analyst: Uses mathematical and statistical models to improve planning, logistics and resource allocation.
- Statistical Programmer: Uses programming languages and statistical software to process data, automate analysis and support research.
- Monitoring and Evaluation Officer: Tracks programme performance and uses data to assess whether projects are achieving their objectives.
- University Lecturer or Researcher: Teaches Statistics and conducts academic research, usually after completing postgraduate qualifications.
Career opportunities can increase significantly when Statistics graduates develop additional skills in Python, R, SQL, spreadsheets, databases, data visualisation and machine learning. Postgraduate study may also be useful for specialised careers in areas such as biostatistics, actuarial science, advanced data science and academic research.
Statistics vs Mathematics
Statistics and Mathematics are closely related, but they do not focus on exactly the same things. Mathematics provides the theoretical foundation for many areas of science and technology, while Statistics concentrates more directly on data, uncertainty and evidence-based conclusions.
| Area | Statistics | Mathematics |
|---|---|---|
| Main Focus | Data, uncertainty and inference | Numbers, structures and mathematical theory |
| Probability | Major emphasis | Important branch |
| Data Analysis | Major emphasis | Less central |
| Pure Theory | Moderate | Strong |
| Calculus | Important | Major emphasis |
| Statistical Modelling | Major area | Supporting area |
| Computing | Increasingly important | Depends on specialisation |
| Research Applications | Very broad | Very broad |
| Typical Career Direction | Data, analytics, research and risk | Mathematics, finance, computing, research and education |
Statistics is usually the better fit for students who enjoy working with data, probability, surveys, forecasting and real-world decision-making. It places considerable emphasis on interpreting information and determining what conclusions can reasonably be drawn from it.
Mathematics is broader and often more theoretical. Students may study areas such as algebra, calculus, geometry, differential equations and mathematical analysis in greater depth.
The two programmes overlap significantly, especially in probability, calculus and mathematical modelling. However, Statistics generally moves further into data analysis, inference and prediction, while Mathematics gives stronger attention to the underlying mathematical structures and theories.
Common Admission Mistakes to Avoid
Statistics has a fairly flexible admission structure at some universities, but candidates can still lose admission opportunities by choosing the wrong subjects or overlooking institution-specific conditions.
Common mistakes include:
- Leaving out Mathematics: Mathematics is the core subject for Statistics and is required for both UTME and O’Level admission in most universities.
- Assuming any Science subjects will be accepted: Some institutions specify exactly which supporting subjects candidates must use.
- Ignoring Physics requirements: Universities such as FUTA and Benin place strong emphasis on Physics in their UTME combinations.
- Assuming Economics is accepted everywhere: Economics is accepted by many institutions, but some universities require Chemistry or Physics instead.
- Overlooking Further Mathematics: Certain universities may specifically require Further Mathematics at O’Level, so candidates should not assume it is always optional.
- Confusing Statistics with Mathematics: Although the courses are related, their admission requirements and programme structures can differ.
- Treating Statistics and Data Science as the same programme: Data Science may have different UTME, O’Level or Direct Entry requirements.
- Assuming Applied Statistics has identical requirements: A university may list Applied Statistics separately and apply a different subject combination.
- Using an unrelated ND or HND for Direct Entry: Direct Entry qualifications normally need to be relevant to Statistics, Mathematics or another approved quantitative field.
- Ignoring minimum Direct Entry grades: Some universities specify Upper Credit, Lower Credit, Merit or minimum IJMB/JUPEB points.
- Selecting the wrong programme title: Similar courses such as Statistics, Mathematics and Statistics, Applied Statistics and Statistics with Data Science may be listed separately.
- Relying on outdated admission information: Requirements can change, so candidates should confirm the current conditions for the 2027/2028 admission session before applying.
Carefully checking both the general JAMB requirements and the conditions set by your preferred university can prevent subject-combination errors and improve your chances of being considered for admission.
Read Also:
- JAMB Subject Combination for Computer Science 2027/2028
- JAMB Subject Combination for Actuarial Science 2027/2028
Frequently Asked Questions
1. What is the JAMB subject combination for Statistics?
The general JAMB subject combination for Statistics is English Language, Mathematics and any two of Physics, Chemistry and Economics. Some universities specify particular supporting subjects, so candidates should check their chosen institution.
2. Is Physics compulsory for Statistics in JAMB?
Physics is required by some universities but not necessarily by all institutions. For example, FUTA requires Mathematics, Physics and Chemistry, while other universities may allow Economics or another approved subject.
3. Can I use Economics for Statistics in JAMB?
Yes, Economics is accepted as a supporting subject for Statistics by many universities. However, some institutions use stricter combinations and may require Physics or Chemistry instead.
4. What O’Level subjects are required for Statistics?
Candidates generally need five credit passes including English Language and Mathematics, with three additional subjects chosen from areas such as Physics, Chemistry, Economics, Statistics, Further Mathematics and Geography.
5. Is Further Mathematics compulsory for Statistics?
Further Mathematics is not generally compulsory for every university offering Statistics. However, some institutions specifically require it. For example, the University of Lagos includes Further Mathematics among its O’Level requirements for Statistics.
6. Can I study Statistics through Direct Entry?
Yes. Depending on the university, candidates may qualify through A-Level, IJMB, JUPEB, NCE, ND or HND in Mathematics, Statistics or another relevant field. The general Direct Entry requirement includes A-Level passes involving Mathematics or Statistics, while some institutions also accept relevant NCE, ND or HND qualifications.
Conclusion
Statistics is a versatile quantitative course that focuses on data, probability, analysis and evidence-based decision-making. It is useful across fields such as finance, healthcare, government, research, technology and business.
For the 2027/2028 admission session, English Language and Mathematics are central to the JAMB requirements. The general combination is English Language, Mathematics and any two of Physics, Chemistry and Economics, although some universities use stricter subject combinations.
At O’Level, candidates generally need five credit passes that include English Language and Mathematics, with other relevant subjects selected from areas such as Physics, Chemistry, Economics, Statistics, Further Mathematics and Geography.
Direct Entry admission may also be possible through A-Level, IJMB, JUPEB, NCE, ND or HND, depending on the university and the relevance of the previous qualification.
Candidates should pay close attention to institution-specific requirements, especially where a university insists on Physics, Chemistry or Further Mathematics. Related programmes such as Applied Statistics, Mathematics and Statistics, Statistics and Data Science, and Biostatistics may also have different admission conditions.
Before registering for JAMB or submitting an admission application, confirm the exact 2027/2028 requirements for Statistics at your preferred university. This helps reduce the risk of choosing the wrong UTME subjects or missing an important O’Level or Direct Entry condition.