Department of Data Science and Analytic
Welcome to the Department of Data Science and Analytics, where data-driven insights shape informed decision-making. The Department prepares students to analyse complex datasets, develop predictive models, and translate data into strategic intelligence. Through interdisciplinary training in statistics, machine learning, and analytics tools, students gain expertise relevant to industry, government, and research sectors.
Message from HOD
Dr. Comfort Yetunde DARAMOLA
Head, Department of Data Science and Analytic
About the Programme
The programme integrates statistics, machine learning, big data technologies, data visualisation, and predictive analytics. Students acquire competencies in programming for data analysis, database systems, and quantitative modelling. Practical training includes real-world datasets, research projects, and analytics case studies. The curriculum aligns with international standards in data science, preparing graduates for data-intensive industries.
Programme Philosophy
The programme is founded on the belief that data-informed decisions enhance efficiency, transparency, and innovation. It promotes analytical rigour, ethical data governance, and interdisciplinary problem-solving. Students are trained to interpret data responsibly and develop scalable solutions. The philosophy emphasises precision, critical thinking, and innovation in analytics.
Mission of the Department
To develop skilled data professionals capable of transforming complex data into actionable insights that drive strategic and sustainable decision-making.
Vision of the Department
To be a leading academic hub for data science excellence, research innovation, and impactful analytics solutions.
Admission Requirements and Programme Courses
Admission into this programme and the structure of its courses are governed by approved academic standards and institutional accreditation requirements. Comprehensive details on admission procedures and requirements, course registration, course titles, course descriptions, credit units, prerequisites, and progression criteria are clearly outlined in the Faculty Handbook/Prospectus. Prospective and enrolled students are strongly advised to consult the Faculty Handbook for authoritative information on:
✔Comprehensive course listings
✔Programme structure and duration
✔Graduation and progression requirements
✔Academic regulations and policies
The Faculty Handbook serves as the official and definitive reference for all programme-related academic information and is periodically reviewed to ensure alignment with University regulations and relevant accrediting bodies.
Career Opportunities
Graduates can work as:
✔Data Scientist
✔Business Intelligence Analyst
✔Data Analyst
✔Machine Learning Engineer
✔Quantitative Analyst
✔Research Data Specialist
✔Analytics Consultant
✔Big Data Engineer
✔Risk Analyst
✔Data Strategy Advisor
Program Courses:
Core Required Courses for all majors:
Year One : 100 Level
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Year Two : 200 Level
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Year Three : 300 Level
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Year Four : 400 Level
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Year Five : 500 Level
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Dept. Contact Info.
Location and Business Hours
Fed. Univ. Oye Campus
- 8:00 am -5:00 pm
- Federal University Oye Ekiti Main Campus
Department Staff Members
Dr. Olufemi Olaitan
Assistant Professor
