1 year & 2 Years /
Level 9 /
Full-time & Part-time
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.
Certain semesters of this course are taken in common with other courses.
Follow up programmes elsewhere include:
Minimum 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)
The main employers are:
Graduate careers typically include:
Department Administration: +353 (0)74 9186351
Head of Department Jade Lyons
Telephone: +353 (0)74 9186304
School and Department
Faculty of Engineering & Technology
Department of Computing
Master of Science in Computing
Master of Science