Graduate Employability_ABE

GRADUATE EMPLOYABILITY AND SKILLS

This curriculum emphasises skills that can gainfully employ Agricultural and Biosystems Engineers in all agricultural, biosystems, environmental, rural and industrial environments as Design Engineers, Test Engineers, Product Engineers, Plant Engineers, Quality Control Engineers, Process Engineers, Energy Engineers and Advisers, Consulting Engineers and Environmental Engineers. They can also be employed as Irrigation and Drainage Engineers, Waste Management Engineers, Machinery Maintenance Engineers and Dairy Engineers among others.

In addition to competence and savviness in problem-solving technical, technological and modern digital skills, the programme equips the students with appropriate cognitive, critical analytical and innovative skills, emotional and behavioural skills including communication, interpersonal, continuous and life-long learning capabilities that will make them to be conscious of their importance, and the need for sustainability in relation to the consequences of their professional activities on the human environment and ecosystem.

A graduate of the Agricultural and Biosystems Engineering programme is expected to have

ability to:

1. Collaboration (teamwork and ethics);
2. Citizenship (local and global);
3. Learning to learn/metacognition;
4. Integrate knowledge of areas of mechanical, electrical, environmental and civil engineering, construction technology, hydraulics and soil mechanics in a variety of agricultural and biological applications;
5. Problem solving/decision making/computational thinking;
6. Proffer sustainable solutions for addressing society’s challenges in agriculture, food, energy, water and other natural resources by applying acquired technical, creativity and innovative thinking and modern digital skills, which they are able to communicate lucidly;
7. Create, select and apply appropriate techniques, resources and convergent technologies, including ICT tools, artificial intelligence, machine learning, robotics, modelling, cognitive science, biotechnology, genetic engineering, nanotechnology, GIS and optimization to agricultural, food, energy and water problems.