MSc Accounting / Course details

Year of entry: 2024

Course unit details:
Quantitative Research Methods in Accounting

Course unit fact file
Unit code BMAN73811
Credit rating 15
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Semester 1
Available as a free choice unit? No

Overview

Ball and Brown (1968) and Beaver (1968) are often cited as two founding papers from which accounting as an empirical research discipline emerged. During the past four decades, the volume and variety of empirical research has exploded, due to factors such as the standardization of empirical research methods, the timely and widespread distribution of working papers through SSRN, and the training of successive generations of accounting researchers (Ryan, 2013).

To increase the awareness of the students about the cutting-edge empirical accounting research and assist them in applying quantitative methods to a range of problems in the accounting and finance context, this course revisits ten topics that are extensively covered in existing empirical financial accounting research.

 

Pre/co-requisites

BMAN73811 Programme Req: BMAN73811 is only available as a core unit to students on MSc Accounting

Aims

This course aims to introduce statistical and quantitative techniques in accounting, integrated with theory and empirical evidence. It gives on overview of selected approaches to market-based accounting research, including an insight into cutting-edge academic publications. It also provides students with the necessary background required for other accounting and finance courses, and will be of particular benefit to the students who wish to undertake quantitative work in their dissertation.

Learning outcomes

  • Have a knowledge and understanding of quantitative research in accounting;
  • Have a critical awareness of research issues and methodologies in accounting;
  • Collect and analyse archival data and interpret empirical results;
  • Undertake quantitative accounting research using statistical tools such as STATA;
  • Have an enhanced ability to participate constructively in groups.

Assessment methods

Group Project - 30%

Examination - 70%

Feedback methods

Informal advice and discussion during a lecture, seminar, workshop or lab.

Responses to student emails and questions from a member of staff including feedback provided to a group via an online discussion forum.

Written and/or verbal comments on assessed or non-assessed coursework.

 

Recommended reading

Details of course and all teaching material will be available through the Blackboard webpage accessible at: https://online.manchester.ac.uk

Study hours

Scheduled activity hours
Assessment written exam 2
Lectures 20
Seminars 10
Independent study hours
Independent study 123

Teaching staff

Staff member Role
Liang Xu Unit coordinator

Additional notes

Informal Contact Methods

Office Hours

 

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