Research Methods for Accounting and Finance
| Code | School | Level | Credits | Semesters |
| BUSI4571 | Business | 4 | 20 | Autumn UK |
- Code
- BUSI4571
- School
- Business
- Level
- 4
- Credits
- 20
- Semesters
- Autumn UK
Summary
The module aims to equip students with an understanding of econometric techniques relevant to accounting and finance. Examples of topics covered include statistical distribution theory, and analysing different data sets (time series, cross-sectional, and panel data) using multivariate regression.
Target Students
Only available for MSc Accounting and Finance students AND MSc Exchange students.
Classes
- One 1-hour seminar each week for 3 weeks
- Two 2-hour lectures each week for 9 weeks
- One 2-hour computing each week for 3 weeks
This module is taught through a combination of computing sessions, lectures and seminars.
Assessment
- 100% Coursework: 4,000 words.
Assessed by end of autumn semester
Educational Aims
To provide a good training in applied econometrics techniques as relevant to accounting and finance.Learning Outcomes
Knowledge and understanding: This module develops a knowledge and understanding of:
- Tools and techniques for transforming (big) data into useful information for business analysis and decision support
Intellectual Skills: This module develops:
- Being able to think critically and be creative: manage the creative processes in self and others; organise thoughts, analyse, synthesise and critically appraise. This includes the capability to identify assumptions, evaluate statements in terms of evidence, detect false logic or reasoning, identify implicit values, define terms adequately and generalise appropriately;
- Using information and knowledge effectively in order to abstract meaning from information and to share knowledge, including the use of quantitative skills.
Other:
- Being able to learn and use specialised statistical software.
Professional Practical Skills: This module develops:
- The ability to conduct research and enquiry into business and management issues either individually or as part of a team through research design, the collection and analysis of quantitative data, synthesis and reporting.
Transferable (key) Skills: This module develops:
- Effective communication: networking, listening, oral and written communication of complex ideas and arguments, using a range of media, including the preparation of business reports.
Other:
- Being able to learn and use specialised statistical software.