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Program Synopsis
The main objective of the program is to provide postgraduate education and develop advanced expertise in selected areas of science and technology. Students are encouraged to pursue research of the highest standard, with relevance to the field of
- Sciences
- Mathematics
- Management of Science programs for distance students and technology development.
The Master of Science (Science) program is a postgraduate research degree, which is purely by preparing and completing a research thesis.
This program comprised three parts:
Part I - Compulsory Core Courses
Part II - Research
Part III - Thesis Examination
Part I - Compulsory Core Courses
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Compulsory Core Courses |
Subject Name |
Credit |
SMMS 5103: Master’s Seminar
In this course, students will identify the basic area of study for research. Students will
present the literature review, methodology, and theories relevant for the proposed research area. After each presentation, students will make the necessary amendments and improvements of the paper for subsequent seminars.
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3 |
SMMS 5203: Advanced Master's Seminar
In this course, students will identify the basic area of study for research. Students will
present the literature review, methodology, and theories relevant for the proposed research area. After each presentation, students will make the necessary amendments and improvements of the paper for the qualifying examination.
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3 |
Additional Courses |
Subject Name |
Credit |
For enrichment purposes, students are also required (if necessary) to do additional elective courses as below |
GMAS 6103: Applied Statistics
In this course, students will be exposed to the statistical concepts for data analysis including sampling and hypothesis testing. Simple and multiple regression and logistic regression will also be discussed. Analysis of variance and experimental design are also discussed in this course.
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3 |
GMMS 6103: Multivariate Statistics
There are many multivariate techniques of analysis available. However only the established ones are discussed in the course. Prior to the analysis, students are advised to examine the types of the data such as metric or non-metric, the objective of analysis, identify which variables are independent and which are dependent or which are both; and examine whether the data set are also multidimensional. Students are advised to be familiar with statistical packages either SPSS or SAS.
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3 |
GMNS 6103: Non-parametric Statistics
The course is designed with more illustrations of the technique together with practical examples. A basic knowledge of statistics would help students to follow this course effectively. Students are supposed to know and be familiar with some of the statistical packages such as SPSS, MINITAB, or SAS. This knowledge is important as it will be used in most of the cases to be solved.
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3 |
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Part II - Research
In Part II, students will conduct research and prepare thesis through self-managed learning and/or independent study under the guidance of a supervisor. Each student must meet the assigned supervisor at least four times in each semester before he/she can progress to the subsequent semester.
A candidate can choose any of the following specialization areas to pursue their research.
Areas of specialization in research/thesis are as follows:
- Agriculture Technology and Business
- Applied Science
- Biotechnology Management
- Computational and Theoretical Mathematics
- Distance Education in Chemistry and other Science/Mathematics subjects
- Nursing and Health Sciences
- Science Education
- Sports Science
Part III - Thesis Examination
In Part III, the student has completed the thesis and ready to submit the thesis for examination. An internal examiner and one external examiner will be appointed to assess the MSc (Science) thesis and the candidate will be examined in the Viva Voce session.
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