PhD, MSc Complex Particulate Products and Processes
Year 1
(Award available for year: Postgraduate Diploma)
Learning outcomes
On completion of the programme students should have shown evidence of being able:- to demonstrate in-depth, extended or specialist knowledge of techniques relevant to the discipline or to demonstrate an advanced understanding of concepts, information and techniques informed by knowledge at the forefront of the discipline;- to exhibit competence in the exercise of advanced generic and subject-specific intellectual abilities;- to demonstrate an advanced understanding of techniques applicable to their own research or advanced scholarship;- to take a proactive and self-reflective role in working and to develop professional relationships with others;- proactively to formulate ideas and hypotheses and to evaluate these;- to evaluate critically current issues and research in the discipline.
Transferable (key) skills
Masters (Taught), Postgraduate Diploma & Postgraduate Certificate students will have had the opportunity to acquire the following abilities as defined in the modules specified for the programme:- the skills necessary to undertake a higher research degree and/or for employment in a higher capacity in industry or area of professional practice;- evaluating their own achievement and that of others;- self direction and effective decision making in complex and unpredictable situations;- independent learning and the ability to work in a way which ensures continuing professional development;- critically to engage in the development of professional/disciplinary boundaries and norms.
Assessment
Achievement for the Postgraduate Diploma and Postgraduate Certificate will be assessed by a variety of methods in accordance with the learning outcomes of the programme and will involve the achievement of the students in:- demonstrating the ability to apply breadth and/or depth of knowledge to a complex specialist area;- drawing on a range of perspectives on an area of study;- evaluating received opinion;- make sound judgements whilst understanding the limitations on judgements made in the absence of complete data.