BRIEF HISTORY OF THE DEPARTMENT OF STATISTICS
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:
- Mathematics Unit
- 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 andSIWES. 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.
FACILITIES AVAILABLE IN THE DEPARTMENT/UNIT
- National Diploma Laboratory
- Higher National Diploma Laboratory
- Departmental Library
- Classrooms
PROGRAMMES AVAILABLE AND DURATION
- National Diploma in Statistics (FULL TIME & PART TIME) , Two(2) Years duration
- 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 OlawaleKolapo Steve |
M.Sc. Mathematics (1997) B.Sc. Mathematics (1990) |
Chief Lecturer |
Operations Research |
|
5. |
ALAWAYE AnthoniaIdowu |
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 OkeyemiMaroof |
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 AnieteEdem |
M.Sc. Statistics (2016) B.Sc. Statistics (1995)
|
Principal Lecturer |
Time Series
Econometrics |
|
10. |
ADEOYE AkeemOlanrewaju |
Ph.D. Statistics (2014) M.Sc. Statistics (2010) HND Statistics (2000)
|
Lecturer I |
Operations research
Applied general statistics
|
|
11 |
SANUSI OlatoyeAkeem |
Ph.D. Mathematics (2018) M.Sc. Mathematics (2013) B.Sc. Mathematics (1999)
|
Lecturer I |
Functional analysis
Optimization
|
|
13 |
AMINU TitilopeFunmilayo |
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 GaniyatMonishola |
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 KunleBayo |
M.Sc. Statistics (2019) HND Statistics (2007)
|
Principal Instructor II |
Multivariate Time Series
|
|
22. |
OYEBODEAdebolaTosin |
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 |
UNIQUE ACHEIVEMENTS OF THE DEPARTMENT/UNIT
To promote research, practical conduct and industrial experience the following departmental publications were produced
- Practical Manual (Advanced Calculus, Advanced Algebra & Numerical Methods)
- Guide to Scientific Writing
III. Guide to Students Industrial Work Experience Scheme for Statisticians
- Practical Manual (Quantitative Techniques, Quality Control & Descriptive Statistics)
To improve students’ ability in their professional competence and enhance integration into the larger society nine (9) new hands on computer courses were introduced.
This is the list of the courses forND programme
ND programme
|
Semester |
New Course Title |
Course Code |
Credit Units |
|
First Semester |
Data Journalism |
STA 114 |
2 |
|
Second Semester |
Data Mining |
STA 124 |
2 |
|
Third Semester |
Data Management |
STA 215 |
2 |
|
Fourth Semester |
Data Analytics |
STA 227 |
2 |
This is the list of the courses for HND programme
HND programme
|
Semester |
Course Title |
Course Code |
Credit Units |
|
First Semester |
Advance Data Management I |
STA 317 |
2 |
|
Second Semester |
Advance Data Management II |
STA 327 |
2 |
|
Third Semester |
Advance Data Analytics I |
STA 419 |
2 |
|
Fourth Semester |
Advance Data Analytics II |
STA 428 |
2 |
|
Fourth Semester |
National Statistical Information System (NSIS) |
STA 429 |
2 |
THE COLOURS OF THE DEPARTMENT/UNIT
Butter and black
