Master of Applied Science in Food Science and Technology

Purpose

The qualifying learner can conduct research under guidance in a chosen field, and contribute to knowledge production in that field. The research problem, its justification, process and outcome are reported in a dissertation, which complies with the generally accepted norms for research at that level.

Rationale

Recognition of Prior Learning (RPL)

The institution conducts RPL in terms of the policy and guidelines of the institution to recognise other forms of formal, informal and non-formal learning and experience.In cases where learners do not comply with the formal admission requirements, the institution applies its RPL policy.

Entry Requirements

• Relevant Bachelor Honours Degree, NQF Level 8.
• Relevant Postgraduate Diploma, NQF Level 8.
• Relevant Bachelor's Degree, NQF Level 8, 480 Credits.

1. Demonstrate knowledge and understanding of the field/area of investigation.
2. Apply a range of research methods and techniques appropriately and correctly to investigate, modify, and improve or innovate food or food processes.

The cited literature of the literature survey and the exposition of the research reflects familiarity with relevant and recent trends in technologies, techniques, models and theories in the chosen field.

• Models, principles, theories, techniques and methodologies in the chosen field are analysed, explained, and juxtaposed correctly in oral presentations and the written record of research.
• The use of literature surveys/experimentation/ correlation/ causal analysis is justified fully and correctly in oral presentation and the written record of research. The research problem is identified, defined and detailed in the research proposal. The stated hypothesis directs the investigation.
• Logical analysis and interpretation of data reflect a clear understanding of the relationship between facts in the study and the ability to evaluate contradictory information.
• Use Information sources correctly and appropriately and include a range of media.
• Apply Information technology skills effectively in information searches, data-analyses, data presentation, and the production of the dissertation.
• Apply the appropriate mathematical and statistical methods correctly to quantitative and qualitative data.
• Validate the inferences, interpretations and conclusions from measurements and statistical analyses.
• Language and numeracy skills are applied effectively and correctly in communicating the research problem, its investigation, outcome and recommendations, clearly defending the process.
• Analyse and interpret data.
• Place findings in research in context with existing knowledge of the subject.
• Make recommendations based on findings.

Integrated Assessment

Assessment across the qualification forms an integral part of the teaching and learning process. In achieving the learning outcomes, learners are required to comply with the minimum assessments set for the level of the qualification, as per the institution's Assessment Policy. Assessments vary depending upon the module and the outcomes of the module; however, all modules are formative and summative assessed. The assessment of theoretical modules is usually in the form of assignments, practical's and written tests or examinations.