MN52056: Business analytics
[Page last updated: 23 October 2023]
| Academic Year: | 2023/24 |
| Owning Department/School: | School of Management |
| Credits: | 5 [equivalent to 10 CATS credits] |
| Notional Study Hours: | 100 |
| Level: | Masters UG & PG (FHEQ level 7) |
| Period: |
- Semester 2
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| Assessment Summary: | EXOB 100% |
| Assessment Detail: |
- Inspera-based exams (EXOB 100%)
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| Supplementary Assessment: |
- Like-for-like reassessment (where allowed by programme regulations)
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| Requisites: |
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| Learning Outcomes: |
By the end of the unit, you should be able to:
- Recognise the role that analytics techniques can play in finding solutions to management problems
- Identify problems that are amenable to these techniques
- Understand and apply the key statistical techniques that underpin different Business Analytics techniques
- Communicate effectively with specialists in management science and operational research
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| Synopsis: | Develop analytical skills that will allow you to:
- understand and analyse data
- develop insights that influence decision-making
You will develop your analytical thinking and problem-solving skills. You will learn a variety of modern analytics tools and techniques that help decision-making in many business areas like finance, marketing and operations management.
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| Content: | Weeks 1- 6: Introduction to business analytics and key statistical techniques
Weeks 7- 12: Simulation and optimisation in business analytics
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| Course availability: |
MN52056 is Optional on the following courses:
Department of Chemistry
- USCH-AFM07 : MSci(Hons) Chemistry with Management (Year 4)
- USCH-AKM07 : MSci(Hons) Chemistry with Management with Industrial Placement (Year 5)
School of Management
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Notes: - This unit catalogue is applicable for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this unit will be available in future years in the format displayed here for 2023/24.
- Courses and units are subject to change in accordance with normal University procedures.
- Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
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