Postgraduate Course: Quantitative Methods and Tools (MBA) (CMSE11243)
||College||College of Arts, Humanities and Social Sciences
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Not available to visiting students
|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.
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)
||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)
|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)
|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.
|No Exam Information
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.
|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.
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
|Course organiser||Mr Julian Rawel
Tel: (0131 6)50 8067
|Course secretary||Mrs Angela Muir
Tel: (0131 6)51 3854