If you are planning to study Mathematics and Statistics at Federal Polytechnic Ile-Oluji located in Ondo 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 Federal Polytechnic Ile-Oluji.
Does Federal Polytechnic Ile-Oluji offer Mathematics and Statistics?
No, Federal Polytechnic Ile-Oluji does not offer Mathematics and Statistics under its Faculty of Science. However, since our course list is updated regularly, you can visit the courses available at Federal Polytechnic Ile-Oluji below to check if the Mathematics and Statistics course under the Faculty of Science has been updated.
Admission Requirements for Mathematics and Statistics When Accredited in Federal Polytechnic Ile-Oluji
O’Level Requirements
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 Mathematics and Statistics department under Faculty of Science.
Biology and Additional / Further Mathematics.
Federal Polytechnic Ile-Oluji Cut-Off Mark for Mathematics and Statistics
The general UTME cut-off mark is 180, but due to the variation of Mathematics and Statistics cut-off mark depending on the admission year and competition level, we suggest you enquire about the recent JAMB UTME cut-off mark from Federal Polytechnic Ile-Oluji Officials. However, to improve your admission chances:
Perform well in Post-UTME screening.
Other Federal Polytechnic Ile-Oluji Science Courses with their Requirements
Statistics
SSCE Requirements
To study this course, candidates aspiring to gain admission into Statistics department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
any other relevant subject.
Architectural Technology
SSCE Requirements
To study this course, candidates aspiring to gain admission into Architectural Technology department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
Biology, Fine Art, Chemistry, History, English Language, Geography, Further Mathematics, Economics / Commerce, Religious Knowledge, Technical Drawing and Business Method.
At least a pass in Fine Art or Technical Drawing.
Fisheries Technology
SSCE Requirements
To study this course, candidates seeking admission into the Fisheries Technology department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
Biology / Agricultural Science,
any other Science subject.
Agricultural Technology
SSCE Requirements
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 Agricultural Technology department.
Biology / Agricultural Science,
Mathematics, Chemistry and
Geography, Food and Nutrition, Economics,
Technical Drawing, Physics, Nigerian Language and Home Economics.
Computer Science (CS)
SSCE Requirements
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 Computer Science (CS) department.
any two (2) other Science subjects.
Computer Engineering
SSCE Requirements
To study this course, candidates aspiring to gain admission into Computer Engineering department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
Science Laboratory Technology (SLT)
SSCE Requirements
To study this course, candidates seeking admission into the Science Laboratory Technology (SLT) department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
Any two (2) subjects from: Physics, Chemistry, and Biology / Agricultural Science / Health Science
Any other two (2) relevant subjects (Technical Drawing, Metal / Wood Work, Basic Electricity, Geography, Further Mathematics, and Fine Art)
Nigerian Tertiary Institutions Offering Mathematics and Statistics Course