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Fall semester - MA - IBM Calendar view

Master Dissertation - Taught Research Methods (Spring 2023 intake)


Class
Gloria Nogueiras
Enrolment for this class is currently closed.

About

Welcome to Master Dissertation module. This is a year-long module. It enables you to learn various research methods and apply the appropriate research methodology to explore a research topic of particular interest and to synthesise the skills and knowledge which you have acquired

Level 7 (Master)

Module Leader: Dr. Gloria Nogueiras

Class schedule: Mondays from 15.30 to 17.00 and Wednesdays from 16.30 to 18.00, Leadership (floor -1)

Office hour: to be arranged by email (gloria.nogueiras@miuc.org).

Assessment methods:

Learning outcomes: 

On successful completion of this module you will be able to:

LO1. Effectively and critically apply theoretical knowledge acquired during the course to a research work involving using actual data in a real-world setting (Summative Assessments 1 and 2).

LO2. Design a postgraduate level research project following the structure and the requirements of a formal research proposal (Summative Assessments 1 and 2).

LO3. Review the related literature to identify a problem/need or gap of knowledge and link the findings/results of the Dissertation to this relevant literature (Summative Assessments 1 and 2).

LO4. Select appropriate research methodology and effectively apply the research and methodological skills in a dissertation, including skills related to data collection, data preparation, data analysis and data presentation (Summative Assessment 2).

LO5. Carry out a complete research/project work and write-up findings following the structure and the needs of a formal dissertation with the following required elements: Title page, Acknowledgement, Abstract, List of Contents, tables and figures, Methodology, Findings, Discussion, Conclusion, References, Appendices (Summative Assessment 2).

For more details, please see attached the Module Study Guide: MA_(L7)_S1_(IB_IR_M_A)_Master_Dissertation_(Research_Methods)_MSG_2022-2023.pdf