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Unit information: Quantitative Analysis in Management in 2023/24

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
School/department School of Management - Business School
Faculty Faculty of Social Sciences and Law

Unit Information

The aim of this module is to provide students with an understanding of the use of data analysis tools and techniques and data sources used to solve problems in a business and management environment. The module focuses on how to use Excel to perform data analysis and how to interpret the resulting analyses involving uncertainty and variability; how to model and analyse the relationships within business data; and how to make correct inferences from the data (and recognise incorrect inferences). The module utilises advanced computer modelling tools available in Microsoft Excel to analyse and present quantitative data. It therefore develops practical skills in statistical and mathematical techniques commonly used in business and management decision-making. It draws on fundamental quantitative analysis and business statistics theories with contemporary computational skills to critically evaluate complex business problems and to cross-examine them through computer technologies. The module will also prepare students for the reading, comprehension and interpretation of original business and management research articles that are based on quantitative data and statistical analysis.

Indicative course content:

  • Excel functions and tools for data analysis
  • Introduction to Statistical Variables (types and data collection)
  • Statistical Summaries (measures of central tendency and dispersion – means, variance and skewness)
  • Elementary Probability
  • Correlation and Association
  • Introduction to sampling
  • Hypothesis test for a mean
  • Regression Analysis

Your learning on this unit

Students should be able to demonstrate knowledge and understanding of:

  1. The role of quantitative analysis in generating value from data
  2. The scope and nature of different quantitative techniques
  3. The role of probability theory in modelling uncertainty
  4. Basic concepts of statistical and mathematical analysis and inference models

Having successfully completed the unit, students will be able to:

  1. Apply basic statistical and mathematical techniques to business and management problems
  2. Use probability distributions to model uncertainty in real life problems
  3. Communicate quantitative ideas effectively both in oral and written form
  4. Use a variety of visual models to represent statistical results
  5. Use Excel for data analysis and presentation.

How you will learn

Teaching will be delivered through a combination of synchronous and asynchronous sessions including lectures, tutorials, drop-in sessions, discussion boards and other online learning opportunities.

How you will be assessed

MCQ test 40%, Coursework report 60% (approx 2,000 words)

Resources

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.

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