M. Phil./Ph. D. Statistics

1. List of Academic Staff

Name	Status and Qualifications	Research Interests
G. M. Oyeyemi	Professor & Head of Department B.Sc., M.Sc., Ph.D. (Ilorin)	Multivariate Analysis
B. L. Adeleke	Professor B.Sc. (Ilorin); Dip. Agric Stat. (Washington); M.Sc., Ph.D. (Ilorin)	Design and Analysis of Experiment
A. .A. Adewara	Professor B.Sc., M.Sc., Ph.D., PGDE (Ilorin)	Sample Survey Methods and Applications
A. O. Adejumo	Professor B.Sc., M.Sc. (Ilorin); Ph.D. (Munich).	Modelling, Biostatistics, Time Series & Categorical Data Analysis
W. B. Yahya	Professor N.C.E.(Ila-Orangun); B.Sc., M.Sc. (Ilorin); PGDFM, MBA (Ado- Ekiti); Ph.D. (Munich)	Microarray Analysis, Modelling, Data Mining, Categorical Data Analysis, Bayesian Inference & Biostatistics
A. A. Abiodun	Reader B.Sc., M.Sc., Ph.D. (Ilorin)	Survival Analysis & Statistical Modelling
A. O. Abidoye	Reader B.Sc.(Ilorin); M.Sc. (Ibadan); Ph.D. (Ilorin)	Biostatistics and Hypothesis Testing
O. Job	Senior Lecturer NCE (Ilorin); B.Sc., M.Sc., Ph.D. (Ilorin)	Econometrics
M. K. Garba	Senior Lecturer B.Sc , M.Sc., Ph.D.(Ilorin)	Econometrics, Time Series and Statistical Modeling
I. Oloyede	Senior Lecturer N.C.E.(Ila-Orangun); PGDS (UNAAB, Abeokuta); B.Sc.(OAU. Ile-Ife ); M.Sc.(Ago-Iwoye); Ph.D. (Ilorin)	Bayesian Inference, Econometrics and Statistical Learning
N. A. Ikoba	Senior Lecturer B.Sc.; M.Sc. (OAU. Ile-Ife ); Ph.D. (Ilorin)	Stochastic Processes and Applications, Distribution Theory, Demography
A. W. Banjoko	Senior Lecturer B.Sc , M.Sc., Ph.D.(Ilorin)	Microarray Data Analysis, Biostatistics and Statistical Quality Control
R. B. Afolayan	Lecturer I B.Sc , M.Sc., Ph.D.(Ilorin)	Design and Analysis of Experiments, Regression Analysis, Biometry
Olakiitan I. Adeniyi	Lecturer I B.Sc , M.Sc., Ph.D.(Ilorin)	Survival Analysis

Mariam O. Adeleke	Lecturer I B.Sc., M.Sc. (Ilorin); M.Sc. (London); PhD. (London)	Medical Statistics
O. R Olaniran	Lecturer I B.Sc., M.Sc. (Ilorin); Ph.D. (UTM)	Data Mining, Bayesian Inference and Biostatistics
L. B. Amusa	Lecturer I B. Sc., M.Sc. (Ilorin); Ph.D. (KwaZulu-Natal)	Data Mining, Statistical Modelling, Biostatistics
Jumoke Popoola	Lecturer I B.Sc , M.Sc., Ph.D.(Ilorin)	Operations Research, Stochastic Processes and Mathematical Statistics
Ifeyinwa V. Omekam	Lecturer II B.Sc. (UNN); M.Sc. , Ph.D. (Ilorin)	Distribution Theory

Introduction

The programme is to offer expert teaching and supervision in various aspects of theory and applications of statistics as follows: Analysis of Variance and its Applications, Categorical Data Analysis, Design and Analysis of Experiments, Econometrics, Modeling, Multivariate Analysis, Biostatistics, Repeated Measurements and Analysis, Sample Survey and Sampling techniques, Statistical Quality Control and its Application, Survival Analysis, Stochastic Processes, and Time Series Analysis. The programme will equip students with the skills needed to begin a career as a professional statistician. Graduates from the programme are expected to have a varied skill set including core professional skills, and a portfolio of substantive applied and practical work.

C.                 Philosophy

The philosophy of the programme is anchored on the unbiased and systematic observations, accurate documentation and interpretation of facts and phenomena with view to generate a body of knowledge.

D.                 Aim and Objectives

The primary objectives of the M. Phil. /Ph. D. in Statistics is to enable graduates of:

1. Master of Science (M. Sc.) Degree in Statistics with a CGPA between 3.50 and 3.99 or weighted score average between 55.00% and 59.99% to upgrade their knowledge in order to pursue higher degree programme in Doctor of Philosophy in Statistics.
2. Master of Science (M. Sc.) Degree in related programmes or field that have CGPA between 4.00 and 5.00 or weighted score average of minimum 60% to upgrade their knowledge in Statistics in order to pursue Doctor of Philosophy in Statistics.

E.  Admission Requirements

Admission to the M. Phil. /Ph. D Programme in Statistics is open to:

1. candidates who have obtained CGPA between 3.50 and 3.99 or weighted score between 55.00% and 59.99% in their M. Sc. Degree in Statistics from University of Ilorin or any other recognised University.

b. Master of Science Degree in related programmes or fields.

F.                 Programme Duration

The duration of M. Phil. /Ph. D in Statistics shall be a minimum of twelve (12) Calendar months before conversion to full Ph. D in Statistics.

G.                Details Courses in M.Phil./Ph.D.

The Programme is by Research Work

H.                Requirements for Graduation

a). The candidate shall present and defend a Research Protocol not later than 3 months after the first

registration and another seminar presentation towards the end of the first session based on the collected data in readiness for conversion into full Ph. D. Such candidate must have scored minimum of 60% in both Research Protocol and Conversion Examinations to proceed on his/her Ph.D. Programme; or

b). The candidate shall be required to carry out original research in statistics and to submit a dissertation not exceeding 45,000 words in length and abstract not more than 500 words on a topic/title approved by the Postgraduate School Board before the final examination and the M.Phil. Degree shall be awarded on the basis successful Open Oral Examination.