Statistics

About the Department

The Department of Statistics at the Federal University of Technology, Minna is dedicated to raising the statistical capabilities of its students through the systematic and computational analysis of raw data, so as to discover, interpret, and communicate meaningful patterns, trends, and insights. Students are nurtured to maturity and excellence, and equipped with the skills to transform data into actionable intelligence, thereby enabling organisations to improve decision-making, boost efficiency, and predict future performance. Graduates from the Department are trained to be competitive in global markets and equipped with relevant skills for using statistical tools for predictive modelling and drawing inferences to solve real-world challenges. Driven by a vision for global visibility, the Department actively seeks strategic partnerships with international universities, research centres, and industry leaders.

Brief History of the Department

The Department of Mathematics and Computer Science was established in 1984 to offer a B.Tech degree in Applied Mathematics and Computer Science. In the 1991/1992 academic session, the Statistics with Computer Science programme was introduced, but was later suspended in 1998 due to a lack of manpower. The full-fledged Department of Statistics was approved at the 387th Senate meeting held on 17th August 2015. Dr Audu Isah was appointed as the pioneer Head of Department on 1st October 2015. The Department of Statistics now offers programmes leading to B.Tech, M.Tech, and PhD degrees in Statistics.

Vision

To be a leading academic Department of excellence that will train students who will apply Information Technology in the field of Statistics for learning and research.

 

Mission

To produce highly motivated and enterprising graduates with up-to-date knowledge and skills in Statistics for research and application purposes.

HEAD OF DEPARTMENT

DR. YISA YAKUBU

Student’s statistics

2025/2026

Student’s statistics

100 Level

156

200 Level

202

300 Level

139

400 Level

133

500 Level

151

Programmes Offered

Programmes Offered

I.    Undergraduate

—Bachelor of Technology (BTech) Statistics.

II.  Postgraduate

—Master of Technology (MTech) Statistics

—Doctor of Philosophy (Ph.D) Statistics

III.  Accreditation status

To date, the department enjoys full accreditation of the National Universities Commission, NUC.

  • External linkages

Research Outputs

 Research Outputs

Include:

(i) Total publications (238)

(ii) Citation count:  More than 769

(iii) Research areas: Experimental Design, Multivariate Statistics, Geostatistics, Spatial Statistics, Categorical Data Analysis.

(iv) International co-authorship percentage (h-index: 40, and i10-index: 50)

(v) Grants (0), Patents (0), Commercialisation (Processing ongoing)

(vi) Journal hosted/published by the school Nil

(vii) Collaborations (International 15), (Local 25)

(viii) Awards: Nil 

Laboratory/Facilities

Laboratory/Facilities

  1. Computer Laboratory
  2. Software and Licenses (eg. Commercial: MATLAB, JMP, SPSS, Eviews, Latex.
  3. Open Source: Phyton ecosystem (Scipy), R,  
  4. Data Facilities

Alumni & Industry Linkages

Industry partners

Internship placement partners

-Oil and Gas (Shell, NNPC)

-Bank and Fintech (UBA, Interswitch)

-Telecom (MTN, Airtel)

-Research Institute (CHESTCO)

– Terrahaptix : plot no 601, area 1B, Idu Industrial district, Abuja

-Upper Niger River Basin Development Authority (Unrbda) Minna Niger State.

-National Agency for Science and Engineering Infrastructure (NASENI), Idu Industrial Area, Abuja

-NPSC (Nigeria Pipeline and Storage Company) Kaduna State.

-Tascon Plastic Ind. Ltd. Oke-Ogba Gabon Area Asa Lga Ilorin Kwara State.

 Student Resources

 Student Resources

(i) Timetable

Lecture Timetable

Continuous Assessment Timetable

Examination Timetable

(ii) Project guidelines

Research finding into selected topics in Statistics, each student is expected to carry out independent research into an assigned or selected topic and produce a report. Student should be subjected to oral examination on the project.

(iii) Seminar schedule

Student Industrial Work Experience Scheme (SIWES) Seminar schedule

Undergraduate Project Proposal Seminar

Undergraduate Project Final Defense Seminar