| Unit name | Quantitative Analysis in Management |
|---|---|
| Unit code | EFIM10014 |
| Credit points | 20 |
| Level of study | C/4 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Dr. Jin |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
None |
| Units you must take alongside this one (co-requisite units) |
None |
| Units you may not take alongside this one |
None |
| School/department | School of Management - Business School |
| Faculty | Faculty of Social Sciences and Law |
Why is this unit important?
This unit is important because it provides students with an understanding of the use of data analysis tools and techniques to solve problems in a business and management environment. The module focuses on how toperform data analysis and how to interpret the resulting analyses which include making correct inferences about relationships within business data. It, therefore, develops skills in statistical and mathematical techniques commonly used in business and management decision-making. The unit will also prepare students for the comprehension and interpretation of originalbusiness and management research articles that are based on quantitative data and statistical analysis.
How does this unit fit into your programme of study?
This unit is a core unit in more than one BSc Business programme which fulfils the purpose of developing students’ quantitative skills. By taking this unit in their first year, students have the opportunity to explore and learn both technical and non-technical modules. Students will acquire anunderstanding of the role of quantitative analysis in solving business and management problems. This unit will also prepare students for higher-level units such as Management Research Methods, Advanced Quantitative Analysis in Management, Data Analytics, and Management Dissertation.
An overview of content
The content of the unit includes an introduction to Excel, summarising data graphically and numerically, an introduction to probability and random
variables, normal and t distributions, sampling and confidence intervals,
hypothesis testing for means, and regression analysis.
How will students, personally, be different as a result of the unit
Upon completion of the unit, students will have formed a deep understanding of the use of different data analysis tools and techniques to generate value from data and the interpretation of results in the context of business and management. The students will have developed skills to use software like Excel confidently. With learned techniques commonly used in management decision-making, students will be more prepared for jobs in business.
Learning Outcomes
At the end of this unit, students will be able to:
ILO1- Apply statistical and mathematical techniques to business and management problems.
ILO2- Demonstrate understanding of the role of quantitative analysis in
generating knowledge and value from data.
ILO3- Interpret and communicate quantitative terms and results from data in a managerial language, both in oral and written form.
ILO4- Use Excel effectively for data analysis and presentation.
Teaching will be delivered through a combination of synchronous and asynchronous sessions including lectures, seminars, discussion boards and other online learning opportunities across TB1.
The seminars, conducted in PC labs, focus on the aspects taught in the lecture and are problem-based. This makes it possible to apply the theories learned and gain software experience.
All learning material will be available on the unit’s Blackboard page. Students will be required to do some preparation activities before the sessions. Optional advice and feedback hours for additional support are available. The discussion board on Blackboard is also a place for students to ask any questions about the unit.
Students are advised to set aside time to review the weekly material and plan when they will work through them.
Tasks which help you learn and prepare you for summative tasks (formative):
There will be one main formative assessment. This will take place the week before the summative test is due. This assessment is a short practice test that will help familiarise the students with the format of the summative test (ILOs 1,2,4). Students will receive instant written feedback.
Tasks which count towards your unit mark (summative):
Summative test (50%): Students are required to sit for a 60-minute openbook test (ILOs 1, 2, 4).
Group presentation (50%): Students will work in groups to analyse a given
dataset for a company and report and communicate the relevant results to
the markers who would be simulating the roles of the CEO and CFO of the
company (ILOs 1,2,3,4).
When assessment does not go to plan
When assessment does not go to plan, there will be a re-assessment in the
summer. This means if the student does not pass the unit overall, they will resit the failed components only. The reassessment includes two pieces of assessment, a summative test (50%) and a 2000-word essay based on the group presentation (50%), addressing the same ILOs as the original assessments.
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EFIM10014).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the University Workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
