About Us
The Department of Statistics, Federal University of Lafia, was established in February 2018 under the Faculty of Science.The Bachelor of Science degree programme in Statistics started with the 2017/2018 session of the University.
At the commencement of academic programme, a total of 15 students comprising of 10 male and 5 female were admitted into the Department while member of staff includes: Dr Imam Akeyede (Associate Professor and the pioneer Head of Department), Prof O.E Asiribo, I.M Saleh, A.O Abam, D.T Ailobhio, F.G Ibi and D.M.O Omebo, these were supported by Aishat Bello as a Graduate Assistant. The Depatment was resource verified in 2018 and got its full accreditation in 2021.
At the moment, the department has Dr I Akeyede as the Head of Department and a number of staff.. It has also undergone substantial development in its core mandate of teaching, research and community development with active research that cuts across pure and applied Statistics. The department is currently undergoing BSc, PGD, MSc and PhD programmes in Statisics
The Statistics programme is designed to expose students to modern statistical theory and various applications of Statistics. Throughout the programme, there will be emphasis on laboratory-based work and problem-based learning via statistical inference, modelling and programming, analysing and interpretation of real life problems
At the commencement of academic programme, a total of 15 students comprising of 10 male and 5 female were admitted into the Department while member of staff includes: Dr Imam Akeyede (Associate Professor and the pioneer Head of Department), Prof O.E Asiribo, I.M Saleh, A.O Abam, D.T Ailobhio, F.G Ibi and D.M.O Omebo, these were supported by Aishat Bello as a Graduate Assistant. The Depatment was resource verified in 2018 and got its full accreditation in 2021.
At the moment, the department has Dr I Akeyede as the Head of Department and a number of staff.. It has also undergone substantial development in its core mandate of teaching, research and community development with active research that cuts across pure and applied Statistics. The department is currently undergoing BSc, PGD, MSc and PhD programmes in Statisics
The Statistics programme is designed to expose students to modern statistical theory and various applications of Statistics. Throughout the programme, there will be emphasis on laboratory-based work and problem-based learning via statistical inference, modelling and programming, analysing and interpretation of real life problems
Our goals
The aim of the Statistics programme is to devise, and develop statistical and probabilistic techniques, and to disseminate statistical knowledge through teaching, advising, and outreach programmes, in order to serve the needs of the University,local, state and national bodies in research, government, businesses and industries through the following objectives;
i. toprepare graduates for careers in, but not limited to the finance, health, agriculture, policy making, industry etc;
ii. to familiarise students with computational techniques and software typically used in Statistics;
iii. to continue to produce competent statisticians for the public institutions, private establishments, industries and academic organisations;
iv. to prepare students for further study at the postgraduate level
v. to construct practical statistical models for several processes in the real life problems;
vi. to be a second home for members of staff from Mathematics and other related disciplines;
vii. to train students up to M.Sc. and Ph.D degrees in Statistics;
i. toprepare graduates for careers in, but not limited to the finance, health, agriculture, policy making, industry etc;
ii. to familiarise students with computational techniques and software typically used in Statistics;
iii. to continue to produce competent statisticians for the public institutions, private establishments, industries and academic organisations;
iv. to prepare students for further study at the postgraduate level
v. to construct practical statistical models for several processes in the real life problems;
vi. to be a second home for members of staff from Mathematics and other related disciplines;
vii. to train students up to M.Sc. and Ph.D degrees in Statistics;
Programmes
Bachelor of Science (B.Sc) Statistics
The B.Sc. Statistics is designed to expose students to modern statistical theory and various applications of Statistics. Throughout the programme, there will be emphasis on laboratory-based work and problem-based learning via statistical inference, modelling and programming, analysing and interpretation of real life problems. Each course in the programme is of both a theoretical and practical nature exposing the students to different techniques and methodology of Statistics that are used in society. Illustrative examples will be taken from different disciplines that require Statistics.
Postgraduate Diploma (PGD) Statistics
The Department offers postgraduate diploma (PGD) degree programme in Statistics leading to the award of PGD (Statistics). The programme is designed for those who hold Higher National Diploma or Bachelor of Science degree in Statistics and other comparable degrees. The goal is to deepen their knowledge in Statistics and to acquaint students with skills and competence needed for pursuing further research/study in Statistics. The programme involves the following:
Master of Science (MSc) Statistics
The Department of Statistics offers a Master of Science (MSc) degree programme that leads to the award of M.Sc. (Statistics). The programme is intended for people who hold a Bachelor of Science in Statistics, a Postgraduate Diploma in Statistics, or a related area. The purpose is to broaden their horizons and strengthen their undergraduate knowledge. The course is also designed to familiarize students with the skills and competencies required for further research/study in Statistics.
Doctor of Philosophy (PhD) Programme in Statistics
The Department of Statistics offers a doctor of phylosophy (PhD) degree programme that leads to the award of PhD. (Statistics). The programme is intended for people who hold a Master of Science in Statistics. The purpose is to provide qualifying students with an in-depth understanding and integrated knowledge of advanced applicable theory in the field of Statistics and to come out with an innovation which will contribute to positive socio-economic transformation of the nation. The course is also designed to familiarize students with the skills and competencies required for further research/study in Statistics. The following are part of the programme:
The B.Sc. Statistics is designed to expose students to modern statistical theory and various applications of Statistics. Throughout the programme, there will be emphasis on laboratory-based work and problem-based learning via statistical inference, modelling and programming, analysing and interpretation of real life problems. Each course in the programme is of both a theoretical and practical nature exposing the students to different techniques and methodology of Statistics that are used in society. Illustrative examples will be taken from different disciplines that require Statistics.
Postgraduate Diploma (PGD) Statistics
The Department offers postgraduate diploma (PGD) degree programme in Statistics leading to the award of PGD (Statistics). The programme is designed for those who hold Higher National Diploma or Bachelor of Science degree in Statistics and other comparable degrees. The goal is to deepen their knowledge in Statistics and to acquaint students with skills and competence needed for pursuing further research/study in Statistics. The programme involves the following:
Master of Science (MSc) Statistics
The Department of Statistics offers a Master of Science (MSc) degree programme that leads to the award of M.Sc. (Statistics). The programme is intended for people who hold a Bachelor of Science in Statistics, a Postgraduate Diploma in Statistics, or a related area. The purpose is to broaden their horizons and strengthen their undergraduate knowledge. The course is also designed to familiarize students with the skills and competencies required for further research/study in Statistics.
Doctor of Philosophy (PhD) Programme in Statistics
The Department of Statistics offers a doctor of phylosophy (PhD) degree programme that leads to the award of PhD. (Statistics). The programme is intended for people who hold a Master of Science in Statistics. The purpose is to provide qualifying students with an in-depth understanding and integrated knowledge of advanced applicable theory in the field of Statistics and to come out with an innovation which will contribute to positive socio-economic transformation of the nation. The course is also designed to familiarize students with the skills and competencies required for further research/study in Statistics. The following are part of the programme:
Staff of the department
HOD's profile
Dr. Akeyede, Imam is an associate professor of Statistics and current Head, Department of Statistics; Federal University of Lafia, Nasarawa state. Dr. Akeyede who obtained his doctorate degree in Statistics in 2015 from University of Ilorin, has published more than 50 articles in Statistics. He has been teaching Statistics for more than 13 years and has supervised to completion a number of MSc and PhD students. He serves as an external examiner to different universities and he is currently a member of Nigeria Statistical Association (NSA) and Professional Statistician Society of Nigeria (PSSN) among others. His research interests focus on Time series analysis, stochastic simulation and Modeling, Probability and Mathematical Statistics. He serves as an editorial member and reviewer to several scholarly journals
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Admission Requirements
Candidate intending to read Statistics degree in the department must satisfy all University entry requirements including the required five Credit Units in relevant papers all obtained at not more than two sittings.
a) UTME:
(i) O-Level: The entry requirements shall be at least credit level passes in five subjects including EnglishLanguage, Mathematics and Physics to form the core subjects with credit in any other two from the following subjects: Chemistry, Biology/Agricultural Science, Geography/Economics and Further Mathematicsat the Senior Secondary School Certificate or its equivalent. In addition to these
(ii) UTME subjects combination: Use of English, Mathematics and any two Science or Social Science subjects or their combination, from of Physics, Chemistry, Biology/Agricultural Science, Economics/ Geography.
b) DIRECT ENTRY: Candidates for direct entry into 200 level must in addition to satisfying conditions (a) i above, he/she must also obtain:
i) A level passes of which two (2) must be Mathematics and Physics/Chemistry, or,
ii) A diploma in Statistics from arecognised University at credit level or ND/HND from any recognized institution, or,
iii) A level passes at NCE with minimum of credit in Mathematics and Physics/Chemistry
a) UTME:
(i) O-Level: The entry requirements shall be at least credit level passes in five subjects including EnglishLanguage, Mathematics and Physics to form the core subjects with credit in any other two from the following subjects: Chemistry, Biology/Agricultural Science, Geography/Economics and Further Mathematicsat the Senior Secondary School Certificate or its equivalent. In addition to these
(ii) UTME subjects combination: Use of English, Mathematics and any two Science or Social Science subjects or their combination, from of Physics, Chemistry, Biology/Agricultural Science, Economics/ Geography.
b) DIRECT ENTRY: Candidates for direct entry into 200 level must in addition to satisfying conditions (a) i above, he/she must also obtain:
i) A level passes of which two (2) must be Mathematics and Physics/Chemistry, or,
ii) A diploma in Statistics from arecognised University at credit level or ND/HND from any recognized institution, or,
iii) A level passes at NCE with minimum of credit in Mathematics and Physics/Chemistry
Welcome Address
I am delighted to welcome you to our website as the head of the Statistics department. Our department is dedicated to creating a dynamic atmosphere that encourages originality, creativity, and high academic standards. By offering our students extensive programmes and initiatives, we hope to give them the information and abilities needed to succeed in a constantly evolving professional environment.
A partnership and transparent approach to education, research, and development is highly valued by us. Our esteemed departmental members are committed to offering our students thorough direction and supervision, making sure they have a well-rounded education that equips them for the challenges of the future. We believe that this website will be a helpful resource for you to learn about the accomplishments, ongoing research initiatives, and activities of our department.
In addition to our expertise in design and analysis of experiments, sample surveys, statistical computing, time series analysis, econometrics, biostatistics/biometry data science, and data mining, our department is dedicated to providing education and research opportunities that equip our students with the skills necessary to excel in the modern statistical theories and applications. Our research areas cover a wide range of topics. Our programmes give students the chance to get hands-on experience with modern statistical techniques as well as exposure to real-world challenges.