If you are planning to study Applied Mathematics with Statistics at University of Mkar located in Benue 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 UNIMKAR.
Does University of Mkar (UNIMKAR) offer Applied Mathematics with Statistics?
No, University of Mkar 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 Mkar (UNIMKAR) 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 Mkar (UNIMKAR)
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.
UNIMKAR 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 UNIMKAR Officials. However, to improve your admission chances:
Perform well in Post-UTME screening.
Other UNIMKAR Science Courses with their Requirements
Home Science, Nutrition and Dietetics
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 Home Science, Nutrition and Dietetics department.
At least a pass mark in English Language and Physics,
Biology / Agricultural Science,
any other relevant subject.
Industrial Chemistry
SSCE Requirements
To study this course, the minimum requirement for applicants seeking admission to the Industrial Chemistry department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
Biology / Agricultural Science.
Physics
SSCE Requirements
To study this course, candidates aspiring to gain admission into Physics department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
Chemistry, Mathematics and
any other Science subject from
Biology / Agricultural Science.
Agricultural Engineering (AE)
SSCE Requirements
To study this course, candidates aspiring to gain admission into Agricultural Engineering (AE) department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
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.
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.
Chemistry
SSCE Requirements
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:
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.
Nigerian Tertiary Institutions Offering Applied Mathematics with Statistics Course