If you are planning to study Mathematics and Statistics at Marist Polytechnic, Umuchigbo, Iji-Nike located in Enugu 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 Marist Polytechnic.
Does Marist Polytechnic, Umuchigbo, Iji-Nike offer Mathematics and Statistics?
No, Marist Polytechnic, Umuchigbo, Iji-Nike 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 Marist Polytechnic, Umuchigbo, Iji-Nike 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 Marist Polytechnic, Umuchigbo, Iji-Nike
O’Level Requirements
To study this course, candidates aspiring to gain admission into Mathematics and Statistics department under Faculty of Science, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
Biology and Additional / Further Mathematics.
Marist Polytechnic 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 Marist Polytechnic Officials. However, to improve your admission chances:
Perform well in Post-UTME screening.
Other Marist Polytechnic Science Courses with their Requirements
Computer Engineering
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 Engineering department.
Computer Science (CS)
SSCE Requirements
To study this course, the minimum requirement for applicants seeking admission to the Computer Science (CS) department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
any two (2) other Science subjects.
Science Laboratory Technology (SLT)
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 Science Laboratory Technology (SLT) department.
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)
Food Technology
SSCE Requirements
To study this course, the minimum requirement for applicants seeking admission to the Food Technology department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
Biology / Agricultural Science,
any two of the following:
Geography, Food and Nutrition, Economics, Technical Drawing, Physics, Chemistry, Nigerian Language and Home Economics.
At least a pass in Chemistry is required.
Nutrition and Dietetics
SSCE Requirements
To study this course, the minimum requirement for applicants seeking admission to the Nutrition and Dietetics department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
Biology/Agricultural Science.
Electrical / Electronic Engineering Technology
SSCE Requirements
To study this course, the minimum requirement for applicants seeking admission to the Electrical / Electronic Engineering Technology department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
any other Science Subject.
Estate Management and Valuation
SSCE Requirements
To study this course, candidates seeking admission into the Estate Management and Valuation department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
Economics, Arts, Physics,
Technical Drawing, Chemistry and Biology
Nigerian Tertiary Institutions Offering Mathematics and Statistics Course