Postgraduate Course: Quantitative Methods and Tools (MBA) (CMSE11243)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 0 |
ECTS Credits | 0 |
| Summary | This 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.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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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
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| Academic year 2023/24, Not available to visiting students (SS1)
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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.
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| 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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| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Recognise and critically discuss quantitative techniques suitable for data analysis in particular management situations.
- Critically discuss the underlying assumptions, uses and limitations of these techniques.
- Apply statistical and basic spreadsheet modelling techniques and to correctly interpret the results
- Use Microsoft® Excel® for basic modelling and data analysis.
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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 . |
| Keywords | Data Analysis Quantitative Research Statistics |
Contacts
| Course organiser | Mr Julian Rawel
Tel: (0131 6)50 8067
Email: Julian.Rawel@ed.ac.uk |
Course secretary | Mr Ross Muir
Tel:
Email: rmuir310@ed.ac.uk |
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