Commencement of the Master of Medical Statistics degree program
The Board of Study in Multidisciplinary Studies of the Faculty of Graduate Studies, University of Kelaniya, is introducing the first-ever Medical Statistics postgraduate degree program in Sri Lanka. Further details about the program are given below.
|
Program name |
SLQF level |
Duration |
|
Master of Medical Statistics degree |
level 9 |
One year |
In general, medical statistics plays a crucial role in all aspects of healthcare delivery, from clinical practice and research to public health policy and decision-making. It provides the quantitative tools necessary for generating reliable evidence, optimizing patient care, and improving population health. The Master of Medical Statistics degree aims to provide practices of medical statistics in health care and related fields. It is specially designed to deliver a comprehensive understanding of the quantitative techniques in an applicable manner. The use of project-based learning and up-to-date software will allow students to develop essential skills in advanced evidence-based research and policymaking.
This program highly benefits health administrators, researchers (medical/pharmaceutical experiments designing and analysis), policymakers, and those pursuing careers in health administration and policy making.
Applications are invited from 01st March 2024, and the program commencement is scheduled for May 2024.
Please visit our website to access further details, including the eligibility criteria and the application process linked in:
https://fgs.kln.ac.lk/index.php/programmes/masterprogrammes/multidisciplinary-studies
The program outcomes align with the Sri Lanka Qualifications Framework (SLQF) level 9, and the curriculum follows world standard benchmarks in medical statistics. The flyer is attached herewith.
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Subjects details |
||||
|
Semester |
Subject code |
Subject Title |
Optional/ Compulsory |
No of Credits |
|
Semester 1 |
MST 51012 |
Basic Epidemiology |
C |
2 |
|
MST 51022 |
Fundamentals of Medical Statistics |
C |
2 |
|
|
MST 51032 |
Statistical Inferences |
C |
2 |
|
|
MST 51041 |
Data Organization and Management |
C |
1 |
|
|
MST 51051 |
Non Parametric Tests |
C |
1 |
|
|
MST 51062 |
Linear Models |
C |
2 |
|
|
MST 51073 |
Health Surveys and Health Sampling |
C |
3 |
|
|
MST 51082 |
Clinical Epidemiology |
C |
2 |
|
|
Semester 2 |
MST 52093 |
Regression Analysis |
C |
3 |
|
MST 52102 |
Forecasting & Statistical Process Control |
C |
2 |
|
|
MST 52112 |
Survival analysis |
C |
2 |
|
|
MST 52122 |
Advanced Topics in Regression |
C |
2 |
|
|
MST 52131 |
Bayesian Statistical Methods |
O |
1 |
|
|
MST 52141 |
Applied Econometrics |
O |
1 |
|
|
MST 52145 |
Independent study in Medical Statistics |
C |
5 |
|
Programme Coordinar
Dr. U.P. Liyanage
Contact:
Office: 0112 903371
Mobile/WhatsApp: 0769651766
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
