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◄Faculty of Business and Economics►


















                                               COURSE INFORMATION


                 AA0X7001                     RESEARCH METHODOLOGY
                 4 Credits
                 Learning Outcomes            At the end of the course, students are able to:

                                               (1)  Examine the logic of scientific discovery and the
                                                   novelty in research.
                                               (2)  Evaluate the usage of inductive and deductive research.
                                               (3)  Compare the different types of research methodologies.
                                               (4)  Formulate a research proposal.
                 Synopsis of Course Contents  Using  examples  from  past  research  and  methodologies
                                              across  4  disciplines  (economics,  applied  statistics,
                                              development  studies  and  politics),  this  course  seeks  to
                                              examine in its entirety the philosophy and methodology of
                                              research  so  as  to  help  equip  students  with  a  better
                                              understanding of how to undertake research, analyse data,
                                              and write scholarly and policy papers. Following a sequential
                                              exposition  of  the  philosophical  underpinnings  of  research
                                              and  methodology,  and  the  procedures  of  data  collection,
                                              estimation and interpretation , the course introduces all the
                                              main  current  methodologies  as  well  as  qualitative  and
                                              quantitative tools of data analysis.
                                              Lectures will be supplemented with a critical examination of
                                              the  methodological  frameworks  used  in  selected  leading
                                              publications and by leading scholars from inter/disciplinary
                                              fields.
                                              In  class  lessons  will  be  revisited  towards  the  end  of  the
                                              course  through  a  careful  selection  of  case  studies  from
                                              multiple  disciplines  (tier  1  journal  publications  from
                                              economics, applied statistics, dev studies and politics). This
                                              way, students will have a broad introduction to various ways
                                              in  which  data,  methodologies,  software  and  methods  are
                                              combined in academic research. The emphasis will be on
                                              methodological debates and diversity within social sciences.
                                              Equally, they will receive practical lessons on how to handle
                                              discipline-specific big data sets.
                                              Lastly,  they  will  receive  hands-on  training  on  complete
                                              research  proposal  developments  applying  creative  and
                                              critical thinking using problem sets.

                 Assessment Weightage         Continuous Assessment:100%
                                              Final Examination: None

                 Medium of Instruction        English




















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