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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           Using  examples  from  past  research  and  methodologies
                 Contents                     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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