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MN10077: Quantitative methods and data analysis

Follow this link for further information on academic years Academic Year: 2018/9
Further information on owning departmentsOwning Department/School: School of Management
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Certificate (FHEQ level 4)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 25%, EX 75%
Further information on unit assessment Assessment Detail:
  • Coursework (CW 25% - Qualifying Mark: 35)
  • Examination (EX 75% - Qualifying Mark: 35)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
In taking this module you cannot take MA10213 OR take MA10214 OR take MN10004
This unit is not available to visiting/exchange students.
Further information on descriptions 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.
Further information on programme availabilityProgramme availability:

MN10077 is Compulsory on the following programmes:

Department of Politics, Languages and International Studies
  • UXXX-AYB05 : BSc(Hons) International Management and Modern Languages (French) with Year Abroad (Year 1)
  • UXXX-AYB04 : BSc(Hons) International Management and Modern Languages (German) with Year Abroad (Year 1)
  • UXXX-AYB06 : BSc(Hons) International Management and Modern Languages (Spanish) with Year Abroad (Year 1)

Notes: