Research Methods

Module Description

This module is designed for learners who want and need to gain understanding of research approaches and skills and gain an ability to deploy research methods in their studies or in professional lives. In particular, this module will aid those who have to conduct research as part of their postgraduate studies and it is for those who feel they would like additional support for self-improvement. 

This module is a comprehensive introduction to research methods and will cover broad topics:  the fundamentals of doing research, research methods, research design, data collection, and data analysis. In discussing each topic, the ethical implications of research will be covered. Research is a craft, and like any other craft, it takes practice to do it well. Therefore, this module places the student experience at the centre of our endeavours by engaging learners in a range of robust and challenging discussions and exercises. Learners will have opportunity to learn by doing in all aspects of the course—in class meetings, online classroom, and out-of-class assignments. 

No prior knowledge or experience in research is required to take this course.

Target Audience

• The course is targeted at:
• professionals seeking a career in the financial services industry;
• professionals already working in finance who are aiming to move into banking, corporate finance, financial analysis and/or investment/portfolio management.

Career Paths

The potential positions for which this programme aims to prepare could be and are not limited to:

• financial analyst
• senior finance manager
• finance director
• chief financial officer
• risk manager
• portfolio manager
• investment manager
• fund manager
• compliance manager

How you’ll be assessed

The course comprises:

• 6 lectures per module;
• 3-hour lectures (evening);
• 12 hours of guided learning, presentations, comprising synchronous online discussions, tutorials and/or videos;
• Self-study hours comprising research, reading and assignment work.

The course also includes additional, specialised support to help you write your Dissertation, including classes on Qualitative/Quantitative data analysis tools, as well as Dissertation Workshops.