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Does AAU Offer Computer Science and Informatics | UNI Enquiry
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Is Computer Science and Informatics Offered in Ambrose Alli University (AAU)?


If you are planning to study Computer Science and Informatics at Ambrose Alli University located in Edo State, it is important to understand the admission requirements, cut-off mark, and career opportunities before applying. AAU was established in 1981 by the Bendel State Government (now Edo State) to promote higher education and academic excellence in Nigeria. It has developed into a full-fledged state university. This page explains everything you need to know to increase your chances of gaining admission into AAU.


Does Ambrose Alli University (AAU) offer Computer Science and Informatics?


No, Ambrose Alli University does not offer Computer Science and Informatics under its Faculty of Data and Decision Sciences. However, since our course list is updated regularly, you can visit the courses available at Ambrose Alli University (AAU) below to check if the Computer Science and Informatics course under the Faculty of Data and Decision Sciences has been updated.



Admission Requirements for Computer Science and Informatics When Accredited in Ambrose Alli University (AAU)


O’Level Requirements


To study this course, candidates seeking admission into the Computer Science and Informatics department under Faculty of Data and Decision Sciences, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:


  • English Language,


  • Mathematics,


  • Physics and


  • two (2) other Science subjects.


JAMB Subject Combination


  • Use of English,


  • Mathematics,


  • Physics and


  • any one (1) of


  • Biology, Chemistry, Economics,


  • Agricultural Science and Geography.


AAU Cut-Off Mark for Computer Science and Informatics


The general UTME cut-off mark is 180, but due to the variation of Computer Science and Informatics cut-off mark depending on the admission year and competition level, we suggest you enquire about the recent JAMB UTME cut-off mark from AAU Officials. However, to improve your admission chances:


  • Aim for 180+ score.


  • Perform well in Post-UTME screening.


Other AAU Science Courses with their Requirements


1. Statistics


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:


  • English Language,


  • Mathematics,


  • Physics,


  • Chemistry and


  • any other relevant subject.



2. Technical Education


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:


  • Mathematics or NTC/NBC,


  • English Language and


  • any three (3) relevant subjects.



3. Education and Chemistry


To study this course, candidates seeking admission into the Education and Chemistry department, must have at least five (5) credits (C5 and more) in their SSCE disciplines, including the following:



4. Botany


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 Botany department.



5. Civil Engineering


To study this course, the minimum requirement for applicants seeking admission to the Civil Engineering department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:



6. Medical Laboratory Technology / Science


To study this course, the minimum requirement for applicants seeking admission to the Medical Laboratory Technology / Science department, is five (5) credits (C5 and higher) in their SSCE subjects, including the following:



7. Industrial Chemistry


To study this course, candidates aspiring to gain admission into Industrial Chemistry department, should at least obtain five (5) credit (C5 and above) passes in their SSCE subjects including:



Nigerian Tertiary Institutions Offering Computer Science and Informatics Course