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DRPS : Course Catalogue : Business School : Business Studies

Undergraduate Course: Business Research Methods I: Quantitative Techniques (CMSE08002)

Course Outline
SchoolBusiness School CollegeCollege of Humanities and Social Science
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 8 (Year 2 Undergraduate) Credits20
Home subject areaBusiness Studies Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionPresentation and interpretation of statistical data, statistical arithmetic, and use of statistical packages on micro-computers, elementary time series, elements of regression, probability. Sources of business information, methods of data capture, questionnaire design, types of sampling, introduction to qualitative methods of research, preparation of project proposal. Elements of statistical inference, hypothesis testing, introduction to non-parametric tests. This course is compulsory for all 2nd year MA with Honours Business Studies and MA with Honours in International Business students. A pass in a suitable alternative may be considered as a pass for Business Research Methods I in the MA programme. This decision is at the discretion of the Senior Director of Studies in conjunction with the course co-ordinator.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Business Studies 1 (BUST08001)
Prohibited Combinations Students MUST NOT also be taking Economics 2 (ECNM08006) OR Psychology 2 (PSYL08002)
Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesVisiting students should usually have at least 1 introductory level Business Studies course at grade B or above (or be predicted to obtain this) for entry to this course. We will only consider University/College level courses.
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2013/14 Semester 1, Available to all students (SV1) Learn enabled:  Yes Quota:  None
Web Timetable Web Timetable
Class Delivery Information TUTORIALS: 1 hour per week for 4 weeks. Three tutorials and one practical session, in Weeks 3,5,8,10 (sign up through Tutorial Selection Tool on Learn9). PROBLEM SOLVING SESSIONS: 1 hour per week for 7 weeks. (Fridays 13.10-14.00 in Weeks 4-10; also in Lecture Hall B, David Hume Tower Lecture Theatres).
Course Start Date 16/09/2013
Breakdown of Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 30, Seminar/Tutorial Hours 4, Supervised Practical/Workshop/Studio Hours 7, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 153 )
Additional Notes
Breakdown of Assessment Methods (Further Info) Written Exam 80 %, Coursework 20 %, Practical Exam 0 %
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)Business Research Methods I: Quantitative Techniques2:00
Resit Exam Diet (August)2:00
Summary of Intended Learning Outcomes
Knowledge and Understanding

On completion of the course students should be able to:
a) describe basic statistical techniques for data collection, presentation and analysis;
b) critically review the collection, presentation and analysis of data;
c) gain insight into tackling business problems through the use of statistical techniques.
Cognitive Skills

On completion of the course students should be able to:
a) demonstrate they can apply statistical techniques to data;
b) demonstrate they can discuss the results of the application of statistical techniques to data in written reports and oral presentation.

Key Skills

On completion of the course the students should be able to:
a) demonstrate their ability to carry out quantitative analysis of data;
b) demonstrate their ability to use software to obtain analysis of data;
c) demonstrate their ability to collect data through design of questionnaire.

Subject Specific Skills

On completion of the course the students should be able to:
a) develop their skills to collect, present and analyse data,
b) develop their ability to design questionnaires

Assessment Information
Coursework 20%; final examination 80%.
Special Arrangements
Additional Information
Academic description Not entered
Syllabus Data Availability and Collection
Survey Research
Exploratory Data Analysis
Probability and Distributions
Estimation and Sampling Distributions
Introduction to Hypothesis Testing
Further Parametric Testing
Non-Parametric Testing
Correlation and Simple Linear Regression
Multiple Linear Regression
Transferable skills Not entered
Reading list Recommended book for the course: Michael Barrow, Statistics for Economics, Accounting and Business Studies Longman, London & New York.
Study Abroad Not entered
Study Pattern Not entered
Keywordsdata collection and analysis
Course organiserDr Jake Ansell
Tel: (0131 6)50 3806
Course secretaryMs Patricia Ward-Scaltsas
Tel: (0131 6)50 3823
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