THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2022/2023

Timetable information in the Course Catalogue may be subject to change.

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DRPS : Course Catalogue : Business School : Common Courses (Management School)

Postgraduate Course: Quantitative Methods and Tools (MBA) (CMSE11243)

Course Outline
SchoolBusiness School CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits0 ECTS Credits0
SummaryThis non-credit bearing online course aims to develop an understanding of basic probability, statistics and spreadsheet modelling techniques to support management decision-making.
Course description The course is designed to help underpin the quantitative approaches used in the core MBA courses but also to provide a basis for the later use of quantitative techniques in the elective options, consultancy and capstone projects. The course incorporates an initial diagnostic test to assess participants' entry skills and a summative test to assess levels of achievement.


Student Learning Experience
The teaching and learning approach will include independent reading and self-study and online course material to reinforce key techniques.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements For Business School PG students only, or by special permission of the School. Please contact the course secretary.
Course Delivery Information
Academic year 2022/23, Not available to visiting students (SS1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Please contact the School directly for a breakdown of Learning and Teaching Activities
Additional Information (Learning and Teaching) This zero credit course is designed to help students prepare for other courses in the programme.
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Course Test 100%

The course incorporates an initial diagnostic test to assess participants' entry skills, and a summative test to assess levels of achievement.

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Learning Outcomes
On completion of this course, the student will be able to:
  1. Recognise and critically discuss quantitative techniques suitable for data analysis in particular management situations.
  2. Critically discuss the underlying assumptions, uses and limitations of these techniques.
  3. Apply statistical and basic spreadsheet modelling techniques and to correctly interpret the results
  4. Use Microsoft® Excel® for basic modelling and data analysis.
Reading List
None
Additional Information
Graduate Attributes and Skills Subject Specific Skills
Recognise quantitative techniques suitable for data analysis in particular management situations.
Apply statistical and basic spreadsheet modelling techniques and to correctly interpret the results.
Use Microsoft® Excel® for basic modelling and data analysis.

Transferable skills
Collect, summarise, analyse and present data.
Construct, interpret and communicate statistical information correctly, coherently and precisely.
Additional Class Delivery Information This zero credit course is designed to help students prepare for other courses in the programme. It consists of 2-6 hours of computer-based tests, up to 20 hours of self-study, and up to 4 hours of self-directed preparatory study for tests .
KeywordsData Analysis Quantitative Research Statistics
Contacts
Course organiserMr Julian Rawel
Tel: (0131 6)50 8067
Email: Julian.Rawel@ed.ac.uk
Course secretaryMrs Angela Muir
Tel: (0131 6)51 3854
Email: Angela.Muir@ed.ac.uk
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