MN20606: Intermediate business analytics
[Page last updated: 23 October 2023]
Academic Year: | 2023/24 |
Owning Department/School: | School of Management |
Credits: | 6 [equivalent to 12 CATS credits] |
Notional Study Hours: | 120 |
Level: | Intermediate (FHEQ level 5) |
Period: |
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Assessment Summary: | CW 100% |
Assessment Detail: |
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Supplementary Assessment: |
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Requisites: | |
Learning Outcomes: |
By the end of the unit students should be able to:
* Recognise the role that analytics techniques can play in the solution of management problems and identify problems that are amenable to these techniques. * Apply analytics techniques to problems drawn from a wide range of business activities. * Be able to assess the strengths and limitations of any given analytics application. * Communicate effectively with specialists in management science and operational research. |
Aims: | This unit aims to introduce how modern analytics techniques can support and improve business decision making by yielding information and insights and suggesting solutions to multi-faceted problems. |
Skills: | Intellectual Skills
* facility to apply subject-specific knowledge into a range of complex situations, taking into account the overall implications for the other areas of the business (TFA); * the ability to acquire and analyse data, information and situations; to evaluate relevance and validity, and to synthesise it in the context of topical business problems (TFA); * understanding of theoretical concepts and frameworks that enable the student to meaningfully link theory and practice, and the ability to critically appraise both theory and practice (TFA). Professional Practical Skills * deal with complex issues and make sound judgements in the absence of complete information, and to communicate their conclusions clearly and competently to a range of audiences (FA); * apply practical decision-making methods and tools at both tactical and strategic levels (TFA); Transferable/Key Skills * ability to conduct in-depth research into management and business issues (TFA). * ability to recognise ethical corporate/social responsibility issues and to manage in light of these issues (F). Personal/Interpersonal * facility to communicate including presenting and marketing themselves and their ideas; preparation and production of effective management analysis (TFA). |
Content: | The unit will cover methods such as:
* Multivariate statistical methods to support decisions in a variety of management disciplines * Optimisation methods, such as linear programming, to identify potential solutions to problems arising in areas such as production scheduling, logistics or pricing decisions. * Simulation and queueing models to support financial and capacity planning decisions. |
Course availability: |
MN20606 is Optional on the following courses:School of Management
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Notes:
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