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Academic Year: | 2017/8 |
Owning Department/School: | School of Management |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Certificate (FHEQ level 4) |
Period: |
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Assessment Summary: | CW 25%, EX 75% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: |
In taking this module you cannot take MA10213 OR take MA10214 OR take MN10004 This unit is not available to visiting/exchange students. |
Description: | Aims: To introduce students to the principles of data analysis with particular reference to business applications. Learning Outcomes: Students who pass the unit will be able to: * convert raw data into comparable formats, e.g. index numbers or z-scores; * classify data by level (nominal, ordinal, interval, ratio); identify dependent and independent variables; * carry out parametric statistical tests. * carry out elementary project appraisal techniques such as simple Decision Trees and Discounted Cash Flow analysis. * use relevant software applications: e.g. spreadsheets, at a "power user" level. Skills: Intellectual: identify the correct technique required to solve data analysis problems. Taught and assessed. Professional: apply statistical techniques to business problems. Taught and assessed. Key skills: * use and understanding of numerical data. Taught, facilitated and assessed. * use of Information Technology: Taught, facilitated and assessed. Content: * Collection and presentation of data; * Discrete distributions and continuous distributions; * Descriptive statistics; * Inferential statistics including correlation and regression; * Index numbers; * Elementary probability; * Management applications of quantitative methods in finance, project management and decision-making. * Computer applications which are useful for data analysis in a business and academic context. |
Programme availability: |
MN10077 is Compulsory on the following programmes:Department of Politics, Languages and International Studies
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Notes:
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