If you are planning to study Applied Mathematics with Statistics at University of Uyo 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 UNIUYO.
Does University of Uyo (UNIUYO) offer Applied Mathematics with Statistics?
No, University of Uyo 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 University of Uyo (UNIUYO) 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 University of Uyo (UNIUYO)
O’Level Requirements
To study this course, candidates aspiring to gain admission into Applied Mathematics with Statistics department under Faculty of Science, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
two (2) other Science subjects.
JAMB Subject Combination
any two (2) other subjects from
Economics, Biology and Agricultural Science.
UNIUYO 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 UNIUYO Officials. However, to improve your admission chances:
Perform well in Post-UTME screening.
Other UNIUYO Science Courses with their Requirements
Urban and Regional Planning (URP)
SSCE Requirements
To study this course, candidates seeking admission into the Urban and Regional Planning (URP) department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
Physics, Chemistry, Economics, Government, Biology, Art, History, IRK/CRK, Social Studies and Tech Drawing.
Industrial Technology Education
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 Industrial Technology Education department.
three (3) other relevant subjects.
Technical Education
SSCE Requirements
To study this course, candidates aspiring to gain admission into Technical Education department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
any three (3) relevant subjects.
Land Surveying and Geoinformatics
SSCE Requirements
To study this course, candidates aspiring to gain admission into Land Surveying and Geoinformatics department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
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.
Medical Laboratory Science
SSCE Requirements
To study this course, candidates aspiring to gain admission into Medical Laboratory Science department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
Mathematics
SSCE Requirements
To study this course, candidates aspiring to gain admission into Mathematics department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
any two (2) other relevant subjects.
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.
Nigerian Tertiary Institutions Offering Applied Mathematics with Statistics Course