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MN50644: Analytics in practice

Follow this link for further information on academic years Academic Year: 2017/8
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: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 2
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Coursework (CW 100%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Further information on descriptions Description: Aims:
This unit will be delivered in conjunction with a specialist from IBM, and will focus on business analytics software, its applications in practice, and its implications in the wider and international context.

Learning Outcomes:
At the end of this unit, students will be able to:
* Use contemporary business analytics software to discover unidentified problems, devise solution approaches, and implement them.
* Assess the past and current business analytics implementations and project the future needs, solutions, and trends for business analytics solutions.

Intellectual skills:
* Use of business analytics methods in finance, procurement, marketing, sales, human resources, and supply chain management (T, F, A)
Practical skills:
* Knowledge of the state-of-the-art software for business analytics (T, F, A)
Transferable skills:
* Enhance perspective of the implications of Big Data (F)
* Use of the current business analytics software (T, F, A)

Topics covered include the applications of business analytics software in many functional areas, including but not limited to finance, procurement, marketing, sales, human resources, and supply chain management. In addition, recent trends in the business analytics field including HADOOP, open source programs (R), social media analytics, alternative data collections techniques (mobile signals, face recognition, recorded calls sentiment analysis etc.) are covered.
Further information on programme availabilityProgramme availability:

MN50644 is Compulsory on the following programmes:

School of Management