Certificate in in Data Preparation and Statistics
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Course Overview
The aim of this programme is to equip students with common and transferable statistical and data-focused skills that enable analysis and interpretation of common farm, agri-industry or research data.
This micro-credential would be suitable for agri-food enterprises from a range of backgrounds.
Course Delivery and Modules
This programme is delivered in a blended format, predominantly online with some face-to-face workshops.
Education Progression
BSc (Hons) in Agriculture (Part-time Level 8 Add-On)
MSc / Postgraduate Diploma in Agricultural Biotechnology
Postgraduate Diploma in Sustainable Food Technology and Innovation New course
MSc in Sustainable Food Technology and Innovation New course
Fees and Funding
EU Fees:
- Full-time (EU): n/a
- Part-time (EU): €230
Non-EU Fees:
- Full-time (non-EU): n/a
- Part-time (non-EU): n/a
Fees
Entry requirements
The minimum entry requirement for the level 8 micro credential is a level 7 major award in agriculture/ animal science/ crop science or a related area.
Graduates of other disciplines will be assessed for entry through the Recognition of Prior Learning process on an individual case-by-case basis.
Candidates may be interviewed.
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Disclaimer: All module titles are subject to change and for indicative purposes only. All courses are delivered subject to demand and timetables are subject to change. Elective Module options will only run subject to student numbers. The relevant Department will determine the viability of each elective module option proceeding depending on the number of students who choose that option. Students will be offered alternative elective modules on their programme should their preferred elective option not be proceeding. Award Options for Common Entry Programmes: The relevant Department will determine the viability of each award option proceeding depending on the number of students who choose either option. If the numbers for one of the Award options exceed available places, students for this option will be selected based on Academic Merit (highest grades).