Supply chain analytics is used to identify current and predict future risks by spotting patterns and trends throughout the supply chain. Supply chain analytics can also provide real-time analysis based on interpretation of the data. In this way companies will have far broader supply chain intelligence.They can become more efficient and avoid disruptions which will in turn support improved business models. The course is focused on how to make decisions about the organisation and management of the movement, transformation, and storage of flows of goods, people, data, and money as to meet certain performance criteria across a supply chain. With the huge demands on the worlds supply chains there has never been a better time to seek a qualification in this field.
| Course Location | Letterkenny, Donegal |
| Course Type | Classroom Based |
| Course Qualification | Masters Degree |
| Course Start Date | 1st January 1970 |
| Course Duration | 1/2 years |
| Course Time | Part-time/Full-time |
| Course Fee | 6300 |
| Entry Requirements | The course will be available to applicants who meet one of the following criteria: IELTS 6.0 or equivalent for non-EU students. An Honours Degree with first or second-class honours or an equivalent qualification in Computing, Science, Engineering, Business, Finance or Mathematics or any associated discipline. Candidates who do not have an Honours degree but have significant relevant experience may also be eligible for consideration via Recognition of Prior Learning (RPL) |
| Career Path | This course will be of particular interest to students who wish to understand how supply chains work and to use advanced analytics techniques to extract valuable knowledge from vast amounts of data, facilitating data-driven decision making at supply chain level. They will become part of increasingly multi-skilled teams that are responsible for planning and and managing large scale supply chains. The course will also be relevant to anyone with an interest in how supply chains work. Student may come from a variety of backgrounds such as Computing, Science, Engineering, Mathematics, Business and Finance. Participants registered on this programme will generally aspire to a career in the logistics/supply chain management/analytics field. |

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