Department of Data and information science
Welcome to the Department of Data and Information Science, where analytical thinking meets technological innovation. The Department is committed to developing professionals who can harness data for decision-making, research advancement, and digital transformation. Through interdisciplinary training in data analytics, information systems, and computational methods, students acquire strong quantitative and problem-solving skills. Our programmes are designed to respond to the increasing demand for data-driven solutions across sectors, preparing graduates to operate confidently in dynamic digital and information-rich environments locally and globally.
Message from HOD
Dr. Bosede Aina AYOGU
HOD, Data and Information Science
About the Programme
The programme integrates statistics, data analytics, information management, and computational technologies. Students are trained in data modelling, database systems, artificial intelligence foundations, and decision-support frameworks. Emphasis is placed on ethical data governance, digital systems design, and applied analytics. Through practical projects, internships, and research-based learning, students gain real-world exposure to data interpretation and digital innovation. The curriculum aligns with global standards in data science and information management, ensuring graduates possess the technical competence and critical reasoning required in data-intensive industries and public institutions.
Programme Philosophy
he programme is grounded in the belief that data is a strategic resource for innovation, governance, and sustainable development. It promotes analytical rigour, technological adaptability, and ethical responsibility in managing information systems. By integrating theory with applied practice, the Department fosters interdisciplinary problem-solving and evidence-based decision-making. The philosophy emphasises intellectual curiosity, precision, and accountability, preparing graduates to design data solutions that enhance efficiency, transparency, and competitiveness across sectors while upholding professional and ethical standards.
Mission of the Department
To provide high-quality interdisciplinary education in data and information science that equips graduates with analytical expertise, technological competence, and ethical responsibility to drive digital transformation and evidence-based decision-making across public and private sectors.
Vision of the Department
To be a leading centre of excellence in data and information science, recognised for innovation, research impact, and contributions to digital advancement and knowledge-driven development globally.
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
✔Data Analyst
✔Business Intelligence Analyst
✔Database Administrator
✔Information Systems Manager
✔Data Scientist
✔AI and Machine Learning Associate
✔ICT Consultant
✔Research Data Officer
✔Digital Transformation Specialist
✔Technology Entrepreneur
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
Thomas Fred
Associate Professor
C. Hannah Ueno
Assistant Professor
