| Duration: | 2 Years |
| Semesters: | 4 Semesters |
| Credit Hours Per Semester: |
Semester 1 = 21 Credit Hrs Semester 2 = 21 Credit Hrs Semester 3 = 18 Credit Hrs Semester 4 = 18 Credit Hrs |
| Total Credit Hours: | 78 credit Hours |
| Dean of Faculty: | Prof. Bashiru I. I, Saeed |
| Head of Department: | Hudu Mohammed |
| Exam Officer: | Mr. Francis Anyan |
COURSE OUTLINE
YEAR 1, BLOCK 1 (SEMESTER 1)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STH 501 | Advance Probability Theory | 1.5 | 1.5 | 3 |
| STH 503 | Statistical Modelling | 1.5 | 1.5 | 3 |
| STH 505 | principles of Public Health | 1.5 | 1.5 | 3 |
| STH 507 | Concept of Epidemiology and Public Health | 1.5 | 1.5 | 3 |
| STH 509 | Applied Health Statistics | 1.5 | 1.5 | 3 |
| STH 511 | Advanced Multivariate Data Analysis | 1.5 | 1.5 | 3 |
| STH 513 | Advanced Time Series Analysis | 1.5 | 1.5 | 3 |
| TOTAL | 10.5 | 10.5 | 21 | |
YEAR 1, BLOCK 2 (SEMESTER 2)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STH 502 | Survival Data Analysis | 1.5 | 1.5 | 3 |
| STH 504 | Application of Epidemiology to Communicable Disease | 1.5 | 1.5 | 3 |
| STH 506 | Spatial Data Analysis | 1.5 | 1.5 | 3 |
| STH 508 | Statistical Reasoning to Diseases | 1.5 | 1.5 | 3 |
| STH 510 | Statistical Reporting on Clinical Research | 1.5 | 1.5 | 3 |
| STH 512 | Clinical Trial | 1.5 | 1.5 | 3 |
| STH 514 | Medical Sociology | 1.5 | 1.5 | 3 |
| TOTAL | 10.5 | 10.5 | 21 | |
YEAR 2, BLOCK 3 (SEMESTER 3)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STH 601 | M. Tech Thesis I | 15 | 0 | 15 |
| STH 603 | Seminar I | 0 | 3 | 3 |
| TOTAL | 15 | 3 | 18 | |
YEAR 2, BLOCK 4 (SEMESTER 4)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STH 602 | M. Tech Thesis II | 15 | 0 | 15 |
| STH 604 | Seminar II | 0 | 3 | 3 |
| TOTAL | 15 | 3 | 18 | |
ENTRY REQUIREMENTS
BTech or BSc Biostatistics/Health Statistics/or equivalent qualification. All applicants must have a minimum of one (1) year post- qualification industrial experience. Preference will be given to applicants with first class and second class upper honours. First class BTech Health Statistics applicants may be admitted without the post-graduation industrial experience. Applicants with a second class (lower division) or lower qualifications must pass a selection interviewbefore admission into the programme. Applicants with other Statistics or Mathematics backgrounds would be required to take relevant Health Science courses as prerequisites.