
If you are planning to study Applied Mathematics with Statistics at Akwa Ibom State University located in Akwa Ibom 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 AKSU.
Does Akwa Ibom State University (AKSU) offer Applied Mathematics with Statistics?
No, Akwa Ibom State University does not offer Applied Mathematics with Statistics under its Faculty of Science. However, since our course list is updated regularly, you can visit the courses available at Akwa Ibom State University (AKSU) below to check if the Applied Mathematics with Statistics course under the Faculty of Science has been updated.
Admission Requirements for Applied Mathematics with Statistics When Accredited in Akwa Ibom State University (AKSU)
O’Level Requirements
To study this course, candidates seeking admission into the Applied Mathematics with Statistics department under Faculty of Science, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
two (2) other Science subjects.
JAMB Subject Combination
any two (2) other subjects from
Economics, Biology and Agricultural Science.
AKSU Cut-Off Mark for Applied Mathematics with Statistics
The general UTME cut-off mark is 180, but due to the variation of Applied Mathematics with 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 AKSU Officials. However, to improve your admission chances:
Perform well in Post-UTME screening.
Other AKSU Science Courses with their Requirements
Zoology
SSCE Requirements
To study this course, candidates seeking admission into the Zoology department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
two (2) other Science subject.
Agricultural Engineering (AE)
SSCE Requirements
To study this course, candidates seeking admission into the Agricultural Engineering (AE) department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
Any one other subject from:
Introduction to Agricultural Science,
Materials and Workshop Process and Machining,
Tractor Layout Power Unit Under Carriage and Auto Electricity;
Transmission System;
Implement and Machine;
Principles of Crop Husbandry and Land Use,
Materials and Workshop Processes;
Construction and Maintenance of Agricultural Machines;
General Metal Work;
General Wood Work and Building / Engineering Drawing.
Soil Science
SSCE Requirements
To study this course, the minimum requirement for applicants seeking admission to the Soil Science department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
Biology / Agricultural Science and
any other Science subject.
Education and Physics
SSCE Requirements
To study this course, candidates seeking admission into the Education and Physics department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
two (2) other Science subjects or NTC / NBC.
Statistics
SSCE Requirements
To study this course, the minimum requirement for applicants seeking admission to the Statistics department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
any other relevant subject.
Geoscience
SSCE Requirements
To study this course, the minimum requirement for applicants seeking admission to the Geoscience department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
any other relevant subject.
Information and Communication Technology (ICT)
SSCE Requirements
To study this course, the minimum requirement for applicants seeking admission to the Information and Communication Technology (ICT) department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
two (2) other Science subjects.
Nigerian Tertiary Institutions Offering Applied Mathematics with Statistics Course