MTECH HEALTH STATISTICS
The Master of Technology (MTech) Degree Programme in Health Statistics is designed to enable BTech Health Statistics students, and graduates from related programmes pursue advance education and training in Health Statistics. The course aims to provide students with advanced statistics skills for exciting and challenging careers in the industries dealing with Health Statistics research and data analysis.
The course has been designed to provide a greater depth of knowledge in aspects of advanced data analysis. These will enable the students to design Health Statistics data collection procedure, analysis and interpretation and to provide leadership in innovation, research and technology transfer. The curriculum makes adequate provision of several themes in Health Statistics Data Analysis, including statistical applications, statistical modelling and inference, applied time series analysis, spatial data analysis, geographical information systems.
Admission Requirements
The duration of the Master of Technology programme is two (2) years, and to gain admission to the programme, an applicant must satisfy the following minimum entry requirements:
Applicants must possess a B.Tech or B.Sc. Statistics/ /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 1st Class and 2nd Class Upper Honours. First Class B.Tech Health Statistics applicants may be admitted without the post-graduation industrial experience. Applicants with a second class (lower division) or lower qualifications will have to pass an interview before admission into the programme.
Applicants with other statistics or mathematics backgrounds would be required to take relevant health science courses as prerequisites.
MTech Health Statistics
YEAR 1: COURSE-BASED PROGRAMME STRUCTURE
YEAR 1, SEMESTER 1
|
||
COURSE CODE
|
|
COURSE TITLE
|
STAH 501
|
Core |
Advanced Probability Theory |
STAH 503
|
Core |
Statistical Modeling |
STAH 505
|
Elective |
Principles of Public Health |
STAH 507 |
Elective |
Concept of Epidemiology and public health |
STAH 509
|
Elective |
|
STAH 511 |
Core |
Advanced Multivariate Data Analysis |
YEAR 1, SEMESTER 2
|
||
COURSE CODE
|
|
COURSE TITLE
|
STAH 502 |
Core |
Survival Data Analysis |
STAH 504 |
Elective |
Application of Epidemiology to Communicable Disease |
STAH 506 |
Core |
Spatial Data Analysis |
STAH 502 |
Core |
Survival Data Analysis |
STAH 508 |
Elective |
Statistical Reasoning To Diseases |
STAH 510 |
Elective |
Statistical Reporting On Clinical Research |
STAH 512 |
Elective |
Clinical Trial |
STAH 514 |
Elective |
Medical Sociology |
YEAR 2: RESEARCH-BASED PROGRAMME STRUCTURE
YEAR 1, SEMESTER 2
|
|
COURSE CODE |
COMPONENT |
STAF 12
|
M. Tech Thesis I |
STAH 14
|
Seminar I |
STAH 13
|
M. Tech Thesis II |
STAH 15
|
Seminar II |
Employment Prospects of Graduates:
- Ghana Statistical Service
- Hospitals and Clinics
- Ghana Health Service (District and Regional Health Directorates)
- Insurance Firms
- Research Institutions
- Environmental Agencies
- And all governmental and private agencies that require statistical consulting and application.