Institute of Social Sciences · Islamic Economics and Finance (English) · Master
Course Objective
This course is designed to introduce students to multivariate data analysis techniques and their applications in in various field of Islamic Economics and Finance, business administration and political sciences . The course contents would cover statistical techniques related to group comparisons, such as T-test, ANOVA, Chi-sqaure, etc., as well as techniques related to relationship exploration, such as EFA, Regression Analysis, Cluster Analysis, etc. Furthermore, this course would also expose students to the appropriate ways of reporting statistical results in research paper and dissertation.
Course Content
This is a practical course on scholarly methods designed to enable students to carry out their own research projects. The emphasis is on quantitative research methods. Topics covered include the philosophy of research. The course also focuses on the ethics of carrying out primary and secondary research. This course is designed to: a) describe the key components of social research, b) develop skills and knowledge about quantitative social research, and c) identify criteria used to evaluate the quality of social research.
Course Learning Outcomes
- Demonstrate high level of responsibility and autonomy as a quantitative data analyst.
- Recognizing and describing the important “group” and “relationship exploration” related statistical techniques.
- Demonstration of ability to interpret statistical findings reported in top quality quantitative and qualitative research journals.
- Choose, adapt, and develop a research questionnaire/tool.
- Apply advanced quantitative data analysis techniques using latest statistical software(s)
- Demonstrate ability to report empirical findings adequately using IT tools.
- Apply advanced numerical skills to conduct the research in the field of specialization