If you are planning to study Data Management at Oduduwa University located in Osun State, it is important to understand the admission requirements, cut-off mark, and career opportunities before applying. This page explains everything you need to know to increase your chances of gaining admission into Oduduwa University.
Does Oduduwa University (OUI) offer Data Management?
No, Oduduwa University does not offer Data Management under its Faculty of Data and Decision Sciences. However, since our course list is updated regularly, you can visit the courses available at Oduduwa University (OUI) below to check if the Data Management course under the Faculty of Data and Decision Sciences has been updated.
Admission Requirements for Data Management When Accredited in Oduduwa University (OUI)
O’Level Requirements
To study this course, candidates seeking admission into the Data Management department under Faculty of Data and Decision Sciences, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
two (2) other Science subjects.
Oduduwa University Cut-Off Mark for Data Management
The general UTME cut-off mark is 180, but due to the variation of Data Management cut-off mark depending on the admission year and competition level, we suggest you enquire about the recent JAMB UTME cut-off mark from Oduduwa University Officials. However, to improve your admission chances:
Perform well in Post-UTME screening.
Other Oduduwa University Science Courses with their Requirements
1. Chemical Engineering Technology
To study this course, candidates aspiring to gain admission into Chemical Engineering Technology department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
Biology/Agricultural Science, Technical Drawing, Basic Electronics/Basic Electricity, Auto Mechanics, Metal Work, Woodwork (for Civil Engineering Tech.), Further Mathematics, Geography and Economics / Commerce.
For Marine Engineering and Industrial Safety & Environmental Engineering a pass in Biology is required.
2. Mathematics With Statistics
To study this course, candidates aspiring to gain admission into Mathematics With Statistics department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
Biology and Additional / Further Mathematics.
3. Electrical / Electronics Engineering
To study this course, candidates seeking admission into the Electrical / Electronics Engineering department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
any other Science subject.
4. Chemistry
To study this course, candidates aspiring to gain admission into Chemistry department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
5. Quantity Surveying (QS)
To study this course, a minimum of five (5) credit passes (C5 and higher) in their SSCE subjects, including the following, are required for applicants to the Quantity Surveying (QS) department.
any of Fine Art, Geography or Wood Work, Biology, Economics, Technical Drawing, Further. Mathematics, Introduction to Building Construction, Bricklaying / Block laying, Concreting, Wall, Floors and Ceiling Finishing, Joinery, Carpentary, Decorative Painting, Lining, Sign and Design, Wall Hanging, Colour Mixing / Matching and Glazing, Ceramics, Graphics Design, Graphic Printing, Basic Electricity.
6. Microbiology
To study this course, candidates aspiring to gain admission into Microbiology department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
7. Community Health
To study this course, candidates seeking admission into the Community Health department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
Biology/Health Science and
Nutrition, Chemistry, Physics,
Religious Studies, Geography,
Economics, Nigerian Language and
at least a pass in English Language, Food and Nutrition/Home Management.
Nigerian Tertiary Institutions Offering Data Management Course