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STATISTICS

Brief History

The Department of Statistics is a unit in the School of Applied Sciences and Technology.

The Department of Mathematics and Statistics now Department of Statistics was initially part of General Studies Department at the inception of the Polytechnic in 1992.  The Department of Mathematics and Statistics was created in 1994 when the National Diploma Programme in Statistics was mounted.

The Department is made up of two units:

  1. Mathematics Unit
  2. Statistics Unit

 

The ND Statistics programme was mounted in 1995/96 academic session and accreditation was granted by the National Board for Technical Education (NBTE) in 1996.

 

The NBTE Curriculum of the ND programme consists of four components. These are General Studies; Foundation courses; Professional courses and SIWES. The National Diploma programme in Statistics is aimed at producing assistant statisticians capable of collecting data, analyzing and making inference under supervision. On completion of this programme, the diplomate should be able to understand the applications of statistics in commercial, industrial and scientific environment with the use of computers for various purposes.

The NBTE Curriculum of the HND programme consists of three components. These are General Studies, Foundation courses and Professional courses. The Higher National Diploma in Statistics is aimed at producing professional statisticians. On completion of this programme, the diplomate should have deep understanding of statistics and its application within the commercial, industrial and scientific environment and the ability to use a computer when the need arises.

It is in this light that the name of the department was changed from Department of Mathematics and Statistics to Department of Statistics in 2019.

 

PROGRAMMES AVAILABLE AND DURATION

  1. National Diploma in Statistics (FULL TIME & PART TIME) , Two(2) Years duration
  2. Higher National Diploma in Statistics Two(2) Years duration

 

 

REQUIREMENTS FOR ENTRY INTO EACH PROGRAMME

National Diploma (ND)

 

JAMB/UTME Subject Combination for ND Statistic programme

 

Mathematics           

English language                     Compulsory

 

 

Plus any two of the following subjects:

 

Physics, Chemistry, Economics/Commerce, Geography, Computer Science/ICT, Government/Civic Education, Biology/Agricultural Science

 

 O’ LEVEL entry requirement for the ND and HND Statistics programmes

Mathematics   with at least C6        

English language with at least C6     

 

With at least one (1) subject from the following

 

Physics with at least C6     

Chemistry with at least C6     

Computer Science/ICT with at least C6     

Biology with at least C6     

Agricultural Science with at least C6     

Animal husbandry with at least C6     

Health Sciences with at least C6     

Fishery with at least C6     

 

And any two (2) from the following subjects

 

Physics with at least C6     

Chemistry with at least C6     

Computer Science/ICT with at least C6     

Biology with at least C6     

Agricultural Science with at least C6     

Animal husbandry with at least C6     

Health Sciences with at least C6     

Fishery with at least C6     

Economics/Commerce with at least C6     

Geography with at least C6     

Government with at least C6     

Civic Education with at least C6    

Higher National Diploma (HND)

After satisfying the  National Diploma requirements, students seeking admission into HND programme must possess Certificate not  below Lower Credit classification from institution whose programme have been accredited and a minimum of one year relevant Industrial Training (I.T.).  A pass grade would attract a minimum of two years of Industrial Training.

 

 

 

CURRICULUM TABLE CONSISTING THE COURSE CODE, COURSE TITLE, COURSE UNITS (INDICATE WHETHER COMPULSORY OR ELECTIVE)

 

 

NATIONAL DIPLOMA I SEMESTER I CURRICULUM

S/NO

Course Code

Course Title

Unit

1

STA 111

Descriptive Statistics I

4

2

STA 112

Elementary Probability Theory

3

3

STA 114

Data Journalism

2

4

MTH 111

Logic and Linear Algebra

3

5

MTH 112

Functions and Geometry

3

6

COM 101

Introduction to Computing

3

7

STA 113/GNS 101

Technical English I

2

8

GNS 111

Citizenship Education I

2

9

EED 126

Introduction to Entrepreneurship

2

 

 

Total

24

 

 

 

 

 

 

NATIONAL DIPLOMA I SEMESTER II CURRICULUM

S/NO

Course Code

Course Title

Unit

1

STA 121

Descriptive Statistics II

4

2

STA 122

Statistical Theory I

3

3

STA 123

Demography I

3

4

STA 124

Data Mining

2

5

MTH 121

Calculus

3

6

COM 123

Computer Packages I

3

7

GNS 121

Citizenship Education II

2

8

EED 127

Entrepreneurship Practical

2

 

 

Total

22

 

 

NATIONAL DIPLOMA II SEMESTER III CURRICULUM

S/NO

Course Code

Course Code

Unit

1

STA 211

Statistical Theory II

3

2

STA 212

Elements of Sampling Theory

3

3

STA 213

Economic & Social Statistics I

3

4

STA 214

Industrial Statistics I

3

5

STA 215

Data Management

2

6

MTH 212

Calculus II

3

7

MTH 213

Linear Algebra

3

8

COM 215

Computer Packages II

3

9

GNS 228

Research Methodology

2

10

EED 217

Entrepreneurship

2

11

SIW 211

SIWES

4

 

 

Total

31

 

 

 

 

 

 

 

 

NATIONAL DIPLOMA II SEMESTER IVCURRICULUM

S/NO

Course Code

Course Title

Unit

1

STA 221

Design and Analysis of Experiments I

3

2

STA 222

Sampling Techniques I

3

3

STA 223

Applied General Statistics I

3

4

STA 224

Biostatistics I

3

5

STA 227

Data Analytics

2

6

MTH 222

Mathematical Methods I

3

7

COM 224

Management Information Systems

3

8

STA 225

Small Business Management I

2

9

STA 226

Project

4

10

EED 218

Entrepreneurship Practical

 

 

 

Total

26

 

 

HIGHER NATIONAL DIPLOMA I SEMESTER I CURRICULUM

S/NO

Course Code

Course Title

Unit

1

STA 311

Statistical Theory III

3

2

STA 312

Applied General Statistics II

3

3

STA 313

Statistical Inference and Scientific Methods

3

4

STA 314

Operations Research I

3

5

STA 317

Advanced Data Management I

2

6

MTH 314

Mathematical Methods II

3

7

COM 312

Database Design I

3

8

STA 315

Technical English II

2

9

STA 316

Econometrics I

3

10

GNS 111

Citizenship Education II

2

11

EED 313

Entrepreneurship Development I

2

 

 

Total

29

 

 

 

 

HIGHER NATIONAL DIPLOMA I SEMESTER II CURRICULUM

S/NO

Course Code

Course Title

Unit

1

STA 321

Statistical Theory IV

3

2

STA 322

Sampling Techniques II

3

3

STA 323

Design and Analysis of Experiments II

3

4

STA 324

Statistical Management and Operations

3

5

STA 325

Biometrics

3

6

STA 327

Advance Data Management II

2

7

MTH 322

Mathematical Methods III

3

8

COM 322

Database Design II

3

9

STA 326

Research Methods

2

10

EED 323

Entrepreneurship Development II

2

 

 

Total

27

 

HIGHER NATIONAL DIPLOMA II SEMESTER III CURRICULUM

S/NO

Course Code

Course Title

Unit

1

STA 411

Operation Research II

3

2

STA 412

Sampling Techniques III

3

3

STA 413

Econometrics II

3

4

STA 414

Economic and Social Statistics II

3

5

STA 415

Industrial Statistics II

3

6

STA 416

Medical Statistics

3

7

STA 417

Design and Analysis of Experiment III

3

8

STA 418

Small Business Management II

2

9

STA 419

Advance Data Analytics

2

10

EED 413

Entrepreneurship

2

 

 

Total

27

 

 

 

 

 

 

 

 

HIGHER NATIONAL DIPLOMA II SEMESTER IV CURRICULUM

S/NO

Course Code

Course Title

Unit

1

STA 421

Operation Research III

3

2

STA 422

Demography II

3

3

STA 423

Non Parametric Statistics

3

4

STA 424

Statistical Computing

3

5

STA 425

Time Series Analysis

3

6

STA 426

Multivariate Methods and Stochastic Process

3

7

STA 427

Project

4

8

STA 428

National Statistical Information System (NSIS)

2

9

STA 429

Advance Data Analysis II

2

10

EED 423

Entrepreneurship Practical

2

 

 

Total

28

 

All courses at the National Diploma and Higher National Diploma are COMPULSORY.

 

 

 

LIST OF STAFF, STAFF QUALIFICATIONS, STATUS AND AREA OF SPECIALIZATION (BOTH TEACHING AND NON TEACHING STAFF)  

List of teaching staff

S/N

STAFF

QUALIFICATIONS

STATUS

AREA OF SPECIALIZATION

1.

KORTER

Grace Oluwatoyin

 

PhD Statistics (2015)

M.Sc. Statistics (2006)

B.Sc. Statistics (1997)

 

Chief Lecturer

 

Econometric theory and methods

2.

IGBINEHI

Eghe Monday

 

M.Sc. Mathematics (1989)  

B.Ed. Mathematics (1984)

 

 

Chief Lecturer

Functional analysis

3.

AZEEZ

Olasunkanmi

Isiaka

PhD (2019)

M.Sc. Statistics (1999)

B.Sc. Statistics (1992)

Chief Lecturer

Optimization

Quality control

4.

EMIOLA

Olawale Kolapo Steve

M.Sc. Mathematics (1997)

B.Sc. Mathematics (1990)

Chief Lecturer

Operations Research

5.

ALAWAYE Anthonia Idowu

M.Sc. Mathematics (2001)

B.Sc. Mathematics/

Education (1990)

 

Chief Lecturer

Numerical analysis

6.

RAJI

Surajudeen

Tunde

M.Sc. Statistics (2007)

B.Sc. Statistics (1992)

Chief Lecturer

Demography

Time Series

 

7.

OKENIYI

Okeyemi Maroof

M.Sc. Statistics (2001)

B.Sc. Statistics (1993)

 

Chief Lecturer

Sampling survey

Applied general statistics

8.

ODEYEMI Joseph Bamidele

M.Sc. Statistics (2013)

HND Statistics (1988)

 

Principal

Lecturer

Multivariate analysis

 

Statistical methods

 

UDOKANG

Aniete Edem

M.Sc. Statistics (2016)

B.Sc. Statistics (1995)

 

Principal

Lecturer

Time Series

 

Econometrics

10.

ADEOYE Akeem Olanrewaju

Ph.D. Statistics (2014)

M.Sc. Statistics (2010)

HND Statistics (2000)

 

Lecturer I

Operations research

 

Applied general statistics

 

11

SANUSI

Olatoye Akeem

Ph.D. Mathematics (2018)

M.Sc. Mathematics (2013)

B.Sc. Mathematics (1999)

 

Lecturer I

Functional analysis

 

Optimization

 

13

AMINU

Titilope Funmilayo

M.Sc. Mathematics (2008)

B.Sc. Mathematics (2003)

 

Lecturer I

Optimization

 

 

OLATINWO Motolani

M.Sc. Mathematics (2014)

B. Tech. Mathematics (2009)

 

Lecturer II

Operations research

 

14

OJO

Olufemi David

M. Tech. Statistics (2015)

B. Tech. Statistics (2010)

 

Lecturer II

Applied general statistics

 

Bio-statistics

15.

SALAU

Ganiyat Monishola

M.Sc. Statistics -

(2019 )

B.Sc. Statistics (2011)

 

Lecturer III

Time Series

 

16.

ONIKOLA 

Isaac Oluyemi

M. Tech. Mathematics (2018)

B.Sc. Mathematics (2011)

 

Lecturer III

Numerical analysis

Fluid mechanics

17.

ARINZE

Christiana Uchechukwu

B.Sc. Mathematics (2001)

 

Lecturer III

Financial mathematics

Operations research

18.

ALIYU

Usman  Mustapha

M. Tech. Mathematics (2016)

B.Sc. Mathematics (2011)

 

Lecturer III

Numerical Analysis

19.

GIDADO Ismail

Ibrahim

B.Sc. Statistics (2016)

 

Asst Lecturer

Time series

20.

ADEDIJI Sulaiman

B.Sc. Statistics (2013)

 

Asst Lecturer

Time Series

 

Probability

21.

ADEWOYE Kunle Bayo

M.Sc. Statistics (2019)

HND Statistics (2007)

 

Principal

Instructor II

Multivariate

Time Series

 

22.

OYEBODE Adebola Tosin

HND

(Statistics-2008)

ND

(Statistics-2005)

 

Higher Instructor

Time Series

 

Econometrics

23.

OMOLOYE Musbau Abayomi

M. Tech.

(Mathematics-2018)

B. Tech

(Mathematics & Comp. 2012)

 

Assistant Lecturer

(Part Time)

Bio-mathematics

 

 

 

 List of Technical Staff

 

S/N

NAME OF ACADEMIC

STAFF

QUALIFICATION WITH DATE

RANK

 

AREA OF SPECIALIZATION

1.

BELLO Latifat Kemi

HND

(Statistics-1999)

ND

(Statistics-1995)

 

Senior Technologist

Applied general statistics

2.

MUSA Abeebat Iyabo

ND

(Statistics-1995)

 

 

Asst. Tech. Off.

Experimental design

3.

AYANLERE

Olayinka  Funsho

B.Sc. (Maths -2019)

PGDE (2012)

HND

(Statistics-2010)

ND

(Statistics-2005)

 

Laboratory Technician

(Part Time)

Operations Research

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

List of Non Academic Staff

S/N

STAFF

QUALIFICATIONS

STATUS

AREA OF SPECIALIZATION

1.

OLANREWAJU

Caroline Adejoke

HND (Office Technology and Management-2015)

ND -2006

Senior Confidential Secretary

Administration

2.

SULEIMAN Arinola Aisha

M.Sc. (Econs-In view)

ICAN( In view)

B.Sc. (Econs-2015)

Admin Officer

Administration

Financial economics

3.

ADEJUMO

Elizabeth Abimbola

HND Library Science (2015)

 

ND Library Science (2011)

Department Librarian

(ADHOC STAFF)

Library Science

 

 

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