Nursing Program Admission Requirements for Federal Medical Center Yola
by rgegr, ea / ICPSR Harvested Dataverse·Updated 4mo ago
Available on 1 platform
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Description
Encompassing admission requirements and program details for the General Nursing and Post Basic Midwifery programs at the School of Peri-operative Nursing, Federal Medical Center, Yola. It specifies academic prerequisites, including required credit subjects and allowable examination sittings, and outlines program durations of three and two calendar years, respectively. The data was authored by 'rgegr, ea' and last updated in February 2026.
Use Cases
Analyze the academic prerequisites, such as required credits in English and science subjects, for eligibility screening in nursing program applications.
Compare the duration of training between the three-year General Nursing Programme and the two-year Post Basic Nursing Midwifery Programme.
Identify institutional requirements for the Post Basic program based on the candidate's status as a Registered Nurse.
Extract contact information for the registrar and educational board for administrative process mapping.
Strengths
Specifies concrete program durations of three and two calendar years.
Lists explicit academic requirements, including five credit subjects and allowable examination sittings.
Provides direct contact details for administrative inquiries.
Limitations
No structured data format, columns, or sample data is available for analysis.
The description is promotional text, not a structured dataset, which may limit machine readability.
The temporal coverage and update frequency are unclear beyond the last metadata update.
Provenance
Source
ICPSR Harvested Dataverse
Collection Method
Harvested from the Dataverse platform.
Time Range
Program information pertains to the 2026/2027 academic session.
Freshness
Metadata last updated on 2026-02-27.
Geography
Federal Medical Center, Yola, Nigeria.
The input appears to be a promotional announcement for admission forms, not a structured dataset with rows and columns. Users should expect textual information requiring significant parsing and extraction to be used analytically.