If you are planning to study Statistics and Data Science at Federal University Gashua located in Yobe State, it is important to understand the admission requirements, cut-off mark, and career opportunities before applying. FUGASHUA was established in 2013 by the Federal Government of Nigeria as one of the new generation federal universities created to expand access to higher education and promote national development through teaching and research. This page explains everything you need to know to increase your chances of gaining admission into FUGASHUA.
Does Federal University Gashua (FUGASHUA) offer Statistics and Data Science?
No, Federal University Gashua does not offer Statistics and Data Science under its Faculty of Data and Decision Sciences. However, since our course list is updated regularly, you can visit the courses available at Federal University Gashua (FUGASHUA) below to check if the Statistics and Data Science course under the Faculty of Data and Decision Sciences has been updated.
Admission Requirements for Statistics and Data Science When Accredited in Federal University Gashua (FUGASHUA)
O’Level Requirements
To study this course, the minimum requirement for applicants seeking admission to the Statistics and Data Science department under Faculty of Data and Decision Sciences, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
two (2) other relevant subjects.
JAMB Subject Combination
one (1) other relevant subjects.
FUGASHUA Cut-Off Mark for Statistics and Data Science
The general UTME cut-off mark is 180, but due to the variation of Statistics and Data Science cut-off mark depending on the admission year and competition level, we suggest you enquire about the recent JAMB UTME cut-off mark from FUGASHUA Officials. However, to improve your admission chances:
Perform well in Post-UTME screening.
Other FUGASHUA Science Courses with their Requirements
1. Agriculture
To study this course, candidates aspiring to gain admission into Agriculture department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:
Biology / Agricultural Science,
Mathematics / Physics, and
2. Home Science and Management
To study this course, candidates seeking admission into the Home Science and Management department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
Biology / Agricultural Science,
Chemistry, Mathematics and
at least ‘O’ Level pass in English Language and Physics
General Wood Work, Building / Engineering Drawing, Furniture Design and Construction, Upholstery Design and Construction, Spinning,
General Metal Work, Spray Painting and Period Furniture, Weaving, Surface Design and Printing, Bleaching, Dyeing and Finishing and Basic Electricity.
3. Geography
To study this course, the minimum requirement for applicants seeking admission to the Geography department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:
any other two (2) Science subjects.
4. Biochemistry
To study this course, candidates seeking admission into the Biochemistry department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
5. Fisheries and Aquaculture
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 Fisheries and Aquaculture department.
Biology/Agricultural Science,
Physics/Geography/Economics.
6. Computer Science (CS)
To study this course, candidates seeking admission into the Computer Science (CS) department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
any two (2) other Science subjects.
7. Information and Communication Science
To study this course, candidates seeking admission into the Information and Communication Science department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:
two (2) other Science subjects.
Nigerian Tertiary Institutions Offering Statistics and Data Science Course