Aletheia University, Ago-Iwoye Ogun State campus

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BSc Data Science at Aletheia University, Ago-Iwoye Ogun State

Aletheia University, Ago-Iwoye Ogun State, Nigeria

Programme overview

The BSc Data Science is an undergraduate programme offered at Aletheia University by the Department of Mathematical, Physical and Computer Sciences in the College of Science and Information Technology, Ago-Iwoye, Ogun State. It runs for 4 years.

The Data Science programme equips students with the foundations, methods, and implications of data science that extracts knowledge from data using techniques and theories from mathematics, statistics, computing, and information technology. Students are trained to analyse computationally intensive real-life problems, play significant roles in the four A's of data — architecture, acquisition, analysis and archiving — and integrate data-driven IT solutions with business processes.

Level: Undergraduate  |  Faculty: College of Science and Information Technology  |  Department: Mathematical, Physical and Computer Sciences  |  Duration: 4 years  |  Location: Ago-Iwoye, Ogun State

Official programme page

Application information

Entry requirements

Credit pass in at least 5 SSCE/WAEC/NECO subjects at not more than two sittings; Subjects must include Mathematics and English Language; Credit in Further Mathematics or Statistics is an advantage; UTME score in line with university cut-off mark; Post-UTME screening pass

UTME cut-offs change every year and differ by programme. Check the university's current admission list before you apply.

NGN 1,080,000 a year (2026/2027). Official 2026/2027 fee schedule (image on announcement): TOTAL FEES for returning 200L students; first-year figure not published. Excludes hostel fees. Source

Intake: Annual admission exercise (2026/2027 session) via JAMB UTME plus university Post-UTME screening, as published; JUPEB pathway to direct entry also announced.

Duration: 4 years

Apply through the university admissions page: https://aletheiauniversity.edu.ng/admission

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