The Postgraduate College

Science / Statistics

Overview

Degree awarded:

M.Phil

M.Phil/Ph.D

M.Sc

Ph.D

Programmes:

Master of Science in Statistics (Biometry)

Master of Science in Statistics (Computational Statistics)

Master of Science in Statistics (Economic and Financial Statistics)

Master of Science in Statistics (Environmental Statistics)

Master of Science in Statistics (Statistical Design of Investigation)

Master of Science in Statistics (Experimental Design and Analysis)

Postgraduate Diploma in Statistics

Field of interest:

Bayesian Statistics and Decision Theory

Biometrics

Biometry

Computational Statistics

Econometric Theory and Methods

Economic and Financial Statistics

Environmental Statistics

Experimental Design and Analysis

Generalised Linear and Log-linear

Mathematical Statistics

Not Applicable

Sample Survey Theory and Methods

Statistical Design of Investigation

Statistical Inference

Stochastic Processes

Time Series Analysis

Entry requirements:

General Regulations Governing Admission to Higher Degree Programmes

Candidates for admission to higher degree programmes shall normally be graduates of the University of Ibadan or other Universities/Institutions recognised by the Senate. Admission shall be made by the Postgraduate College on the recommendation of the appropriate Faculty Postgraduate Committee.
Candidates without any previous higher degrees in the relevant discipline may be admitted only to either the Degree of Master or the Professional Degree of Master.
Candidates with recognised “Research Higher” Degree in the relevant discipline may be admitted to the M.Phil or Ph.D. degree programmes as appropriate, on the recommendation of the appropriate Faculty Postgraduate Committee.
A candidate admitted to the degree of Master of University of Ibadan who obtained a weighted average mark of 55.0 – 59.9%, or a CGPA of between 4.0 and 4.9 may be offered provisional admission to the M.Phil./Ph.D programmes. Such candidates shall be assessed within three semesters of full time and four semesters of part time registration for the M.Phil/Ph.D to Ph.D conversion. This shall also apply to students who graduated from other universities

SPECIAL WAIVER FOR MATURED APPLICANTS

All University of Ibadan graduates should be admitted to Postgraduate programme with the ordinary level criteria existing at the time their first admission. Candidate who did not fulfill the requirements as at the time of their admission are not eligible for consideration.
Special consideration may be given to candidates, who obtained their first degree not less than 20 years from the time of seeking admission to any postgraduate programmes. Such candidates must have been found to possess special skills or abilities and professionally or academically engaged during the period of 20 years.

How to apply:

Apply online

Our higher degree in Statistics focuses on the study of data collection, analysis, interpretation, and application. Statistics is a fundamental discipline that plays a critical role in various fields, including science, business, social sciences, and research. We teach our students on how to design experiments, analyze data, and draw meaningful conclusions to inform decision-making and solve real-world problems.

Introduction to Statistics:

Students are introduced to basic statistical concepts, terminology, and methods. This course provides an overview of data types, data presentation, and the role of statistics in various fields.

Probability Theory:

Courses cover the fundamentals of probability, including concepts like random variables, probability distributions, and the laws of probability.

Statistical Inference:

Students study methods for making inferences about populations based on sample data, including estimation, hypothesis testing, and confidence intervals.

Data Analysis and Visualization:

Courses focus on techniques for exploring and visualizing data using graphs, charts, and descriptive statistics.

Regression Analysis:

Students learn about regression models, which allow for the analysis of relationships between variables and prediction of outcomes.

Experimental Design:

Courses cover the principles of experimental design, including the planning, execution, and analysis of controlled experiments.

Multivariate Analysis:

Students study techniques for analyzing data involving multiple variables, such as multivariate regression, principal component analysis, and factor analysis.

Time Series Analysis:

Courses focus on analyzing data that varies over time, including methods for forecasting future values and identifying trends.

Nonparametric Statistics:

Students learn about statistical methods that do not require specific assumptions about the distribution of data, suitable for situations with limited data or non-normal distributions.

Bayesian Statistics:

Courses introduce students to Bayesian methods, which involve updating probabilities based on new information, often used in complex and uncertain scenarios.

Statistical Software:

Students gain proficiency in using statistical software packages such as R, Python, or specialized statistical software for data analysis.

Applied Statistics:

Courses provide opportunities to apply statistical techniques to real-world problems and case studies from various fields.

Ethics in Statistics:

Students explore ethical considerations in statistical analysis, including responsible data handling, privacy, and the reporting of results.

Research Methods:

Courses cover research methodologies and study design, emphasizing the role of statistics in scientific inquiry.

Few/Some of the Course Content

STA 758	National Statistical Information System
STA 774	Applied Bayesian Methods
STA 776	Statistical Computing
STA 775	Mathematics of Finance
STA 765	Time Series
STA 773	Econometrics Modelling
STA 785	Probability Theory
STA 770	Research Seminar
STA 782	Statistical Inference
STA 783	Linear Methods
STA 781	Distribution Theory
STA 792	Demographic Analysis
STA 750	Practical Project
STA 759	Survival Analysis
STA 774	Applied Bayesian Methods
STA 786	Non-parametric Method
STA 776	Statistical Computing
STA 762	Statistical Genetics
STA 757	Statistical Bioassay
STA 785	Probability Theory
STA 770	Research Seminar
STA 783	Linear Methods
STA 782	Statistical Inference
STA 781	Distribution Theory
STA 750	Practical Project

Entry Requirement

General Admission Requirements for Higher Degree

The basic qualification for admission to all Postgraduate Courses and Programmes is a first degree of the University of Ibadan or degree/Higher National Diploma of other recognized Institutions in the relevant discipline. Where qualifications are not strictly in the area of admission, remedial courses, which may lead to additional periods of studentship, may be prescribed.
In addition to individual Departmental requirements, applicants must satisfy the ‘O’ Level first degree matriculation requirements of the University of Ibadan i.e five ‘O’Level credit passes at ONE sitting or 6 ‘O’ level credits at TWO sittings including English Language and subject areas for ALL disciplines and Mathematics for ALL Science-based disciplines, Educational Management and Economics and at least a pass in Mathematics for other Social Science Courses OR Holder of NCE must have credit passes in WASC or credit or merit passes in TC II (obtained between 1967 and 1981) in English Language and four other relevant matriculation subjects.

Candidates for the degree of M.Phil and Ph.D. are admitted in the first instance to the Degree of Master Programme. However, candidates who, in addition to a good first degree, and already holding acceptable postgraduate degrees, may be considered for direct admission to the M.Phil and Ph.D. Programmes.

INTERNATIONAL STUDENT ADMISSION REQUIREMENT

Candidate with recognized first degree or higher degree assessed to be at least equal or equivalent to the degree of Bachelor or Master of the University of Ibadan and as recognized by the University senate may be admitted to the Masters , M.Phil, M.Phil/Ph.D or Ph.D Programme on the recommendation of the appropriate Faculty Postgraduate Committee
All applicants for the Postgraduate Diploma, Degree of Masters and Professional Master are require to take Test of Proficiency in English Language. A. minimum score of 40 percent must be attained before applicants could be eligible to be shortlisted by the admitting Departments, Schools, or Institutes.

Facilities

Career Path

Statistics graduates have a wide range of career opportunities due to their quantitative and analytical skills. They work in various sectors, including academia, research, business, and government. Here are some common career paths for statistics graduates:

Data Analyst:

Many graduates become data analysts, collecting, cleaning, and analyzing data to provide insights and inform decision-making in various industries.

Statistician:

Graduates can work as statisticians, designing experiments, conducting analyses, and interpreting results for research projects or organizations.

Biostatistician:

Some graduates specialize in biostatistics, working in healthcare and medical research to analyze health data and clinical trials.

Business Analyst:

Graduates can work as business analysts, using statistical methods to analyze market trends, customer behavior, and business performance.

Quantitative Analyst (Quant):

Some graduates work as quants in the finance industry, analyzing financial data to inform investment strategies and risk assessment.

Market Research Analyst:

Graduates can work in market research, analyzing consumer data to identify trends, preferences, and inform marketing strategies.

Research Scientist:

Some graduates become research scientists, working in academia or research institutions to conduct studies and analyze data in various fields.

Operations Research Analyst:

Graduates can work in operations research, applying statistical and mathematical methods to optimize processes and solve complex problems.

Government Statistician:

Graduates can work for government agencies, collecting and analyzing data to inform policy decisions and public programs.

Environmental Statistician:

Some graduates work in environmental agencies, analyzing data related to environmental impact, resource management, and sustainability.

Actuary:

Graduates with a strong background in statistics can become actuaries, analyzing risk and uncertainty for insurance and finance industries.

Data Scientist:

Graduates with advanced statistical skills can work as data scientists, using complex algorithms and machine learning techniques to extract insights from large datasets.

Research Consultant:

Some graduates work as research consultants, providing statistical expertise and analysis services to organizations and researchers.

Academia and Teaching:

Graduates with advanced degrees can pursue academic careers, teaching statistics and conducting research at universities and colleges.

It's important to note that the career paths in Statistics can vary based on individual interests, specialization areas, and industry demands. Graduates may also choose to pursue further education, such as advanced degrees or specialized certifications, to enhance their expertise and opportunities within the field of statistics.

Supervisor(s)

Fees

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